econ 495/499 honours seminar/honours thesis 2012...

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ECON 495/499 HONOURS SEMINAR/HONOURS THESIS

2012-2013

CONTACT INFORMATION: Siwan Anderson Office: Buchanan Tower 920 e-mail: [email protected] Course Website: http://faculty.arts.ubc.ca/asiwan/econ495-499.html Office hours: Tuesdays/Thursdays: 12:30 – 1:30 [Term 1] Mondays/Wednesdays: 12:30 – 1:30 [Term 2]

MEETING TIMES: Classroom:

Term 1: 2:00 – 3:30: Tuesdays: Brock Hall 2367 Thursdays: Buchanan D228

Term 2: 11:00 – 12:00: Mon/Wed/Fri Jack Bell Bldg.

School of Social Work, Rm. 324

Computer Lab:

Term 1: 2:00 – 3:30: Thurs B126

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COURSE DESCRIPTION The course is a special class for Honours students Term 1 (Economics 495) classes and computer lab sessions centered on preparation of solid

research proposal for the Honours Thesis Term 2 (Economics 499) mainly personal interactions between students and course instructor

and student's own faculty advisors two sets of class meetings of student presentations

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Course has two intertwined objectives:

(1) Build and develop skills necessary to conduct applied economic research and effectively communicate results library and internet researching critical reading of economics articles data management data analysis regression analysis presentations writing for economics

5

(2) Apply these skills to production of a major empirical research

project Working with a faculty advisor Prepare an Honours Thesis Defend it in front of a committee of three faculty members

Assignments throughout the year Schedule for completion steps for the Honours Thesis All deadlines are firm. Course website contains important information for the course

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HONOURS THESIS Honours Thesis can be on any economic question

Best essays have narrow and specific focus

Attempt to answer a well-posed economic question

After writing a research proposal on their topic of interest - students

assigned to a faculty supervisor Faculty supervisor and course instructor will provide guidance with

the Thesis as the year progresses At end of the year - students defend their Honours Thesis in front of

a defense committee [faculty supervisor, course instructor, and one other faculty member in area of expertise]

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Three important criteria:

(1) Student finds topic interesting spend the next 8 months working on this topic want to learn more about and spend hours thinking about

(2) Topic that can be linked to economics literature

generated some interest in the profession can build on the existing literature and contribute to that

literature

(3) Topic is feasible find a suitable and available data set have limited time to conduct this research have limited econometric skills

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FINDING A TOPIC

Look at existing recent-literature:

Syllabus of field courses you have taken

Recent working papers. For example, take a look at recent papers on the websites of faculty members or at the NBER.

Recent issues of journals. Both general purpose journals (Canadian Journal of Economics, American Economic Review, Journal of Political Economy, Quarterly Journal of Economics, the American Economic Journals, Review of Economics and Statistics, Journal of the European Economic Association, etc.) and field journals (Journal of Labor Economics, Journal of Public Economics, Journal of Development Economics, Journal of International Economics, Journal of Environmental Economics and Management, Journal of Human Resources, Journal of Health Economics, etc.)

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RESEARCH TOOLS

Literature Search:

Google Scholar: http://scholar.google.ca/

EconLit: http://resources.library.ubc.ca/34

JSTOR: http://resources.library.ubc.ca/49

SSRN: http://www.ssrn.com/

NBER: http://www.nber.org/

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PAST HONOURS THESES

Sense and Suicide Bombing Sarah Rutherford Internet Usage in Canada: An Empirical Analysis Thomas Steigervald Meteoric or Catalytic: The Analysis of Olympic Effects on Real Estate Market Elisa Huai-Hsuan Chiu Coordination Problems Facing Inland Industralization in China Evren Cubukgil Business Cycles and Trends in Professional School Applications: Pro- or Countercyclical? Hyungsuk Chris Kang The Effect of Generational Status and Ethnic Origin on Wages in Canada Marc Gurstein The Impact of the East Asian Financial Crisis on Trade Between Canada and Korea Matthew Durand Competition and the Price Level: Empirical Insights From Michigan Procurement Contracts Bryn Runkle

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On Liberalisation: Economic and Political Freedoms and the Asian Financial Crisis Samuel Tan Privatization and Stock Market Development Hoi Kit Lo Social Networks and Immigrants: Insights from Canada Salona Bains Joshi Exchange Rate Stabilization in a Noise Trading Framework Pak Hung Au A More Objective Measure of Institutions: A Reinvestigation Into the Colonial Origins Of

Comparative Development Christopher Langmuir Corruption Perception: How Firm and Country-level Factors Explain the Variation in Corruption Perception Jennifer Gozali Relative Income in Adolescence and Labour Market Outcomes in Adulthood Nicolás Della Penna The Adoption of Organic Farming in the European Union Yan Carrière-Swallow Export Bundles and Economic Growth Bo Wu Has Inflation Targeting Built Credibility in Brazil? Alyssa Lee

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The Impact of Conditional Cash Transfers on the Educational Performance of Children:

Evidence from Colombia’s Familas en Acción Program Aditi Bhargava I Dare You To Cross This Line-Ethnic Diversity and Its Impact on Land Policies Shu Wee The Effects of School District Amalgamations on Student Outcomes: Evidence From British

Columbia Amber Middleton Trade Liberalization and Growth in Developing Countries: A Cross-Section and Panel Analysis Jie Zheng The Earnings of First and Second Generation Immigrants in Canada Rudy Sam The Impact of the Rodney King Riot on Fertility in California Garrett Johnson Financing Innovation in Europe: The Link between Private Equity Markets and Country-Level Regulations David Pothier Diamond Mining: Marginal Revenue Product and Player Salary in Major League Baseball Rory Johnston

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Immigrants’ National Origins and the Use of Government Assistance in Canada Yamila Y. Simonovsky The Costs and Benefits of 20 more Years of Oil Sands Development Malcolm M. Lavoie After the Saltpeter War: A Case of Dutch Disease Economics Pau Milán Occupation Mismatch and The Declining Relative Wages of Recent Immigrants Tingting Zhang Corruption and Inflation Vadim Dubchak Regulatory Reform and Owners’ Incentives: A Study on Abnormal Returns to Telecom Mergers Celene Chan The Effectiveness of Central Bank Intervention on the Exchange Rate in Mexico Wenli (Kelly) Xie The Event of Google Search Michael Szynkowski Corruption and Competition Revisited Alex Coutts Discretionary Consumption: Evaluating the Housing and Stock Market Wealth Effect Matthew Coady

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Capital Inflows and Economic Growth: The Function of Local Financial Markets Jie Ma Economic Impacts of the Olympic Games on International Tourism Sara Cseresnyes The Effect of Private Health Insurance in Australia Dubious Evidence For A Costly Policy Keltie McLaren The Impact of Religions, Castes, and Colonial Legacy of Land Tenure Systems on Economic Performance in India Mayuko Yamamoto Role of Applicant Characteristics in Mortgage Lending Jessie Wenjie Qu Do Chinese Individual Investors Tend to Herd in Chinese Stock Markets? Evidence form A- and B-share Markets Dan C. Lin The Credit Channel of Monetary Transmission: Evidence from the Housing Market in the US and Canada Jing Tilky Xu Measuring Unluckiness: The Single Detached Housing Market in British Columbia’s 10 Cities Jie-Fu Jeff Huang Heterogeneous Parents and Capitalization of Public School Quality in Vancouver Housing Market, 2000-2005 Sophie Yang

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Work Hours in OECD and Select Asian Countries Man Lung Chan Heterogeneous Peer Effects of Mexico’s “Progresa” Program on School Enrolment Kristina Hess Disability in the United Kingdom: A Longitudinal Analysis Leon He Linkages and the Impact of Multinational Activity on Economic Development Lucas Parker Productive Government Spending and Economic Growth Marco A.R. Andrade Trust Level of Immigrants in Europe and Economic Performance in Source Country: An Empirical Study Nuheen Khan (Why) Does Work Time Increase With Market Integration Rahul Bhui Cheaper Childcare: The Effects of Low Skilled Immigrants on the Fertility-Work Patters of Highly Skilled American Women Colin O’Neill Corporate Political Activities and Their Financial Returns William Wu Aid-Growth: The Role of Total Factor Productivity and Institutions in Africa Carl William Black

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Market Liberalization and Environmental Protection and their Effect on the Performance of the Electricity Generation Industry John Gormley “Let Thy FoodGuide Be Thy Medicine” Canadians’ Shift Towards “Healthier” Milk Products And the Effect of Government Policy Na’ama Yehezkel The Effect of European Union Structural Subsidies on Tuna Fishing: The Good, the Bad, and the Ugly Andrew Sudmant Capital Losses: Terrorist Attacks and Abnormal Returns to Firm Share Prices Dmitry Shkolnik Variations in Schooling Characteristics due to Armed Conflict: Urban and Rural Children in the Familias en Accion Program Antonio Acevedo Understanding Job Satisfaction: Key Drivers and the Effects of Job-Switching, Evidence from the U.S. Vasil Pendev Profitability of Simple Moving Average Trading Rules: Evidence From the Chinese Stock Markets, 1991-2011 Yiwei Liu

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Possible Financial Safe Haven in Troubled Times Chi Yeung Kwan Gerrymandering and Voter Turnout: Pack or Crack Carlos A. Sanchez-Martinez Rainfall and Riots Heather Sarsons Is Cultural Diversity Good for the Economy? Wesley Sze Regional Economic Integration – Africa’s Way Forward Mehak Tejani Financial Market Data Based Investor Sentiment Index Ruosong Gu The Impact of the 2004-2005 NHL Lockout on Player Salaries Matthew Ho Chang Lee Impure Altruistic Model: Empirical Investigation of Crowding-out Effects of Private Donations by Government Grants Josephine Xu Determinants of CEO Pay in US Financial Firms Hong Le

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FINDING A DATA SET Journal articles from a literature search often give their data sources

Browse through existing data resources even if students do not yet

have a clear idea of their topic Many researchers get ideas by noticing interesting data sets, and then

going through the literature to see whether this kind of information has already been used in other studies

Replicate for another country: find, for example, a Canadian data set

on which students can reproduce an analysis done for another country (for example, the United States) in an existing article

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Use same data (or an updated version) used in another paper to

explore what happens when a different estimation method or a different underlying economic model (to test different hypotheses with the same data) is used instead

First trying to replicate an existing study and then going beyond the

study with innovative changes can be a very effective way of writing a good empirical paper

Many journals (such as the American Economic Review, and the

American Economic Journals) now require authors to post their data on-line Many faculty members post the data used in their research on their

websites for the purpose of replication studies

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DATA SOURCES

Country-level and time series (Macro Approach)

OECD: http://stats.oecd.org/ UN: http://data.un.org/ WHO: http://www.who.int/research/en/ FAO: http://faostat.fao.org/ IMF: http://www.imf.org/external/data.htm World Bank: http://data.worldbank.org/ Conflict Data: http://www.prio.no/CSCW/Datasets/Armed-Conflict/ Penn World Tables: http://pwt.econ.upenn.edu/ WTO: http://www.wto.org/english/res_e/statis_e/statis_e.htm

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Individual/Household Level (Micro Approach)

Canada: http://www.statcan.gc.ca/rdc-cdr/data-donnee-eng.htm United States: http://usa.ipums.org/usa/ UBC online databases: http://resources.library.ubc.ca/numlist/ UBC China Data: http://resources.library.ubc.ca/1522/ BREAD: http://ipl.econ.duke.edu/dthomas/dev_data/index.html World Values Survey: http://www.worldvaluessurvey.org/ Afro Barometer: http://www.afrobarometer.org/ Latino Barometer:

http://www.latinobarometro.org/latino/latinobarometro.jsp Asian Barometer: http://www.asianbarometer.org/ Euro Barometer: http://ec.europa.eu/public_opinion/index_en.htm GSS: http://www3.norc.org/gss+website/

12-08-31 11:34 AMOECD Statistics (GDP, unemployment, income, population, labour, education, trade, finance, prices,health,debt...)

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Employment rate, Aged 15-64, All persons

Level, rate or quantity series, s.a.

Quarterly

Q3-2009 Q4-2009 Q1-2010 Q2-2010 Q3-2010 Q4-2010 Q1-2011 Q2-2011 Q3-2011 Q4-2011 Q1-2012 Q2-2012

Australia 71.8 71.9 72.1 72.1 72.5 72.9 72.9 72.8 72.7 72.4 72.4 72.5

Austria 71.5 71.5 71.5 71.5 71.7 72.2 72.0 72.1 72.2 72.2 72.4 ..

Belgium 61.3 61.6 62.1 61.5 61.9 62.5 61.6 62.5 61.7 62.0 61.8 ..

Canada 71.1 71.2 71.4 71.7 71.6 71.6 72.0 72.1 72.1 71.8 72.0 72.3

Chile 55.9 56.3 57.8 58.9 60.3 60.2 60.7 61.5 61.6 61.4 61.7 61.8

Czech Republic 65.0 65.0 64.5 64.9 65.2 65.3 65.4 65.7 65.9 65.9 66.0 ..

Denmark 75.3 73.8 73.7 73.5 73.2 73.0 73.3 73.2 73.2 72.8 73.1 ..

Estonia 62.6 61.4 59.7 59.6 61.4 63.4 64.1 64.5 66.2 66.1 66.6 ..

Finland 68.1 68.0 68.0 68.1 68.1 68.4 68.6 68.9 69.1 69.4 69.4 ..

France 63.9 63.7 63.9 63.8 63.9 63.8 63.8 63.9 63.8 63.9 63.8 ..

Germany 70.1 70.8 70.7 71.0 71.3 71.5 72.0 72.5 72.7 73.1 72.6 ..

Greece 61.4 60.9 60.5 59.9 59.4 58.5 57.4 56.1 55.0 53.7 52.9 ..

Hungary 55.1 55.2 55.2 55.3 55.6 55.5 55.3 55.8 56.0 56.2 56.4 ..

Iceland 78.4 78.4 78.5 78.6 77.4 77.7 78.5 79.4 77.8 78.6 78.3 ..

Ireland 61.7 61.2 60.6 60.2 60.0 59.5 59.3 59.2 59.1 59.3 58.9 ..

Israel 59.2 59.2 59.1 60.1 60.5 60.9 60.6 61.0 61.4 (B) 61.6 66.0 66.1

Italy 57.4 57.1 57.0 56.9 56.7 56.9 57.1 57.0 56.9 56.8 56.9 ..

Japan 69.9 70.0 70.1 69.9 70.3 70.2 (B) 70.7 71.0 (B) 70.7 70.4 70.4 ..

Korea 62.9 63.0 63.1 63.4 63.4 63.4 63.6 63.9 63.9 64.1 64.2 64.2

Luxembourg 65.3 65.0 64.8 65.1 65.6 65.3 65.4 64.4 64.7 64.1 64.2 ..

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12-08-31 11:38 AMUNdata | record view | Intentional homicide, number and rate per 100,000 population

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Andorra 2004 1 1.3 Interpol CJ

Angola 2008 3426 19.0 WHO PH

Anguilla 2008 1 6.8 NSO CJ














Antigua and Barbuda 2010 6 6.8 OAS/National police CJ











Argentina 2009 1360 3.4 CTS/Ministry of Justice CJ




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UNODC Homicide Statistics 2012

Source: United Nations Office on Drugs and Crime

UNODC Homicide Statistics provide users with a reference for the largestnumber of countries and the longest time series on homicide data possible. Avariety of national and international sources on homicide have beenconsidered to compile UNODC Homicide Statistics and, in order to present

AfghanistanAlbaniaAlgeriaAndorraAngolaAnguilla

201120102009200820072006

CTSCTS/EurostatCTS/Ministry of JusticeCTS/National policeCTS/NSOCTS/OAS

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12-08-31 11:41 AMData on Armed Conflict - CSCW

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Data on Armed Conflict

Data on Armed ConflictCSCW and Uppsala Conflict Data Program (UCDP) at the Department of Peace and Conflict Research,Uppsala University, have collaborated in the production of a dataset of armed conflicts, both internal andexternal, in the period 1946 to the present. The Armed Conflict Dataset is primarily intended foracademic use in statistical and macro-level research. It complements the annual compendium of ongoingarmed conflicts published in the Journal of Peace Research, as well as the UCDP online database. CSCWhouses the academic conflict dataset and continues to work closely with UCDP to provide more andbetter data.

Recent data generation projects have included collecting more fully specified conflict start and end datesto aid in the study of the duration of violence; creating "conflict polygons" to pinpoint the geography ofwar within a given country; and adding figures for yearly combat deaths.

UCDP/PRIO Armed Conflict DatasetDownload 1946–2008 armed conflict data, structured for quantitative analysis.

Conflict SiteGeo-referenced Conflict Site dataset

Data on religious cleavages and civil warData on religious cleavages and civil war

Battle Deaths DataThis dataset includes statistics for battle deaths (soldiers and civilians killed in combat) in state-basedarmed conflicts.

ACLED - Armed Conflict Location and Event DataThe ACLED dataset codes exact locations, dates, and additional characteristics of individual battle eventsin states affected with civil war.

Onset and Duration of Intrastate ConflictThis web page offers three datasets on intrastate conflict: A country-year file and a calendar-time fileprepared for onset analysis and a calendar-time file suitable for duration analysis.

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12-08-31 11:37 AMImproved water source, rural (% of rural population with access) | Data | Table

Page 1 of 11http://data.worldbank.org/indicator/SH.H2O.SAFE.RU.ZS/countries?display=default

Access to an improved water source refers to the

percentage of the population with reasonable access to

an adequate amount of water from an improved source,

such as a household connection, public standpipe,

borehole, protected well or spring, and rainwater

collection. Unimproved sources include vendors, tanker

trucks, and unprotected wells and springs. Reasonable

access is defined as the availability of at least 20 liters a

person a day from a source within one kilometer of the

dwelling.

World Health Organization and United Nations

Children's Fund, Joint Measurement Programme (JMP)

(http://www.wssinfo.org/).

Catalog Sources World Development Indicators

Country name 2007 2008 2009 2010

Afghanistan 42 42 42 42

Albania 94 94 94 94

Algeria 80 79 79 79

American

Samoa

Andorra 100 100 100 100

Angola 39 38 38 38

Antigua and

Barbuda

Argentina 80

Armenia 92 94 96 97

Aruba 100 100 100 100

Australia 100 100 100 100

Austria 100 100 100 100

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Improved water source, rural (% of rural population with access)

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Azerbaijan 69 71 71 71

Bahamas, The

Bahrain

Bangladesh 79 79 80 80

Barbados 100 100 100 100

Belarus 99 99 99 99

Belgium 100 100 100 100

Belize 93 95 97 99

Benin 65 66 67 68

Bermuda

Bhutan 90 92 93 94

Bolivia 67 68 69 71

Bosnia and

Herzegovina98 98 98 98

Botswana 91 91 92 92

Brazil 83 84 85 85

Brunei

Darussalam

Bulgaria 100 100 100 100

Burkina Faso 67 69 71 73

Burundi 71 71 71 71

Cambodia 53 55 56 58

Cameroon 50 51 52 52

Canada 99 99 99 99

Cape Verde 84 84 85 85

Cayman



Islands

Central African

Republic51 51 51 51

Chad 43 43 44 44

Chile 75 75 75 75

China 81 82 83 85

Colombia 71 72 72 72

Comoros 97 97 97 97

Congo, Dem.

Rep.27 27 27 27

Congo, Rep. 34 33 33 32

Costa Rica 90 91 91 91

Cote d'Ivoire 68 68 68 68

Croatia 97 97 97 97

Cuba 87 89 89 89

Curacao

Cyprus 100 100 100 100

Czech Republic 100 100 100 100

Denmark 100 100 100 100

Djibouti 55 54 54 54

Dominica 92

Dominican

Republic83 84 84 84

Ecuador 89 89 89 89

Egypt, Arab

Rep.98 98 98 99

El Salvador 75 76 76 76



Equatorial

Guinea

Eritrea 57 57

Estonia 97 97 97 97

Ethiopia 30 32 34 34

Faeroe Islands

Fiji 95 95 95 95

Finland 100 100 100 100

France 100 100 100 100

French

Polynesia100 100 100 100

Gabon 41 41 41 41

Gambia, The 84 85 85 85

Georgia 96 96 96 96

Germany 100 100 100 100

Ghana 73 75 77 80

Greece 99 99 99 99

Greenland 100 100 100 100

Grenada

Guam 100 100 100 100

Guatemala 86 87 87 87

Guinea 62 63 65 65

Guinea-Bissau 50 51 52 53

Guyana 91 92 92 93

Haiti 51 51 51 51

Honduras 77 78 79 79



Hong Kong

SAR, China

Hungary 100 100 100 100

Iceland 100 100 100 100

India 86 87 89 90

Indonesia 72 73 73 74

Iran, Islamic

Rep.91 92 92 92

Iraq 54 55 56 56

Ireland 100 100 100 100

Isle of Man

Israel 100 100 100 100

Italy 100 100 100 100

Jamaica 88 88 88 88

Japan 100 100 100 100

Jordan 92 92 92 92

Kazakhstan 90 90 90 90

Kenya 49 50 51 52

Kiribati

Korea, Dem.

Rep.98 98 97 97

Korea, Rep. 86 88 88 88

Kosovo

Kuwait 99 99 99 99

Kyrgyz

Republic83 85 85 85

Lao PDR 54 57 59 62



Latvia 96 96 96 96

Lebanon 100 100 100 100

Lesotho 74 74 73 73

Liberia 57 58 59 60

Libya

Liechtenstein

Lithuania 81 81 81

Luxembourg 100 100 100 100

Macao SAR,

China

Macedonia,

FYR99 99 99 99

Madagascar 31 32 33 34

Malawi 73 75 77 80

Malaysia 99 99 99 99

Maldives 96 97 97 97

Mali 47 48 50 51

Malta 100 100 100 100

Marshall

Islands99 99 99 99

Mauritania 45 47 48 48

Mauritius 99 99 99 99

Mexico 87 88 90 91

Micronesia,

Fed. Sts.

Moldova 92 92 93 93

Monaco



Mongolia 50 51 53 53

Montenegro 96 96 96 96

Morocco 60 60 61 61

Mozambique 28 29 29 29

Myanmar 72 74 76 78

Namibia 86 88 90 90

Nepal 86 87 88 88

Netherlands 100 100 100 100

New Caledonia

New Zealand 100 100 100 100

Nicaragua 67 68 68 68

Niger 38 39 39 39

Nigeria 41 42 42 43

Northern

Mariana

Islands

97 97 97 97

Norway 100 100 100 100

Oman 77 77 78 78

Pakistan 87 88 88 89

Palau 96 96 96 96

Panama 83 83 83

Papua New

Guinea33 33 33 33

Paraguay 66 66 66 66

Peru 62 63 64 65

Philippines 90 91 91 92

Poland



Portugal 100 100 100 100

Puerto Rico

Qatar 100 100 100 100

Romania 76 76

Russian

Federation90 91 92 92

Rwanda 63 63 63 63

Samoa 94 95 95 96

San Marino

Sao Tome and

Principe85 88 88 88

Saudi Arabia

Senegal 54 54 55 56

Serbia 98 98 98 98

Seychelles

Sierra Leone 33 34 34 35

Singapore

Sint Maarten

(Dutch part)

Slovak

Republic100 100 100 100

Slovenia 99 99 99 99

Solomon

Islands

Somalia 7 7 7 7

South Africa 77 78 78 79

South Sudan



Spain 100 100 100 100

Sri Lanka 87 88 90 90

St. Kitts and

Nevis99 99 99 99

St. Lucia 95 95 95 95

St. Martin

(French part)

St. Vincent and

the Grenadines

Sudan 53 52 52 52

Suriname 80 81 81 81

Swaziland 58 60 62 65

Sweden 100 100 100 100

Switzerland 100 100 100 100

Syrian Arab

Republic84 85 85 86

Tajikistan 53 53 54 54

Tanzania 44 44 44 44

Thailand 95 95 95 95

Timor-Leste 57 58 59 60

Togo 39 40 40 40

Tonga 100 100 100 100

Trinidad and

Tobago93 93 93 93

Tunisia 84 84 84

Turkey 95 96 98 99

Turkmenistan

Turks and



Caicos Islands 100 100 100 100

Tuvalu 96 97 97 97

Uganda 64 65 67 68

Ukraine 96 97 98 98

United Arab

Emirates100 100 100 100

United

Kingdom100 100 100 100

United States 94 94 94 94

Uruguay 98 100 100 100

Uzbekistan 81 81 81 81

Vanuatu 82 83 85 87

Venezuela, RB 75

Vietnam 87 89 91 93

Virgin Islands

(U.S.)

West Bank and

Gaza82 81 81 81

Yemen, Rep. 47 47 47 47

Zambia 44 46 46 46

Zimbabwe 69 69 69 69

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QWIDSQuery Wizard forInternational Development Statistics

Time Period 2002 2003 2004 2005 2006 2007 2008 2009 2010

Sector(s)

Transport policy andadministrativemanagement (21010)

419.579543 451.496073 381.804981 679.739335 1285.552193 1284.845843 1981.468567 2297.695496 1692.706684

Road transport(21020) 2424.658567 2713.878931 3522.498114 3992.687511 3638.211158 4211.740806 6531.564541 7484.273175 7347.783818

Rail transport (21030) 487.366602 803.396576 1261.719887 1624.248123 1811.86418 1367.427979 3473.607698 2996.905253 3882.76978

Water transport(21040) 356.982022 160.821245 443.725361 542.165982 294.832799 556.796942 734.732003 450.017274 630.620174

Air transport (21050) 774.119498 171.794804 693.069186 676.20799 113.431312 263.203661 727.835056 269.682095 658.879996

Storage (21061) 0.039817 0.67 1.359452 0.786988 0.660795 0.322889 8.44365 40.541279 3.494903

Education andtraining in transportand storage (21081)

1.068146 0.744846 4.182058 10.351471 8.087616 6.127734 9.429376 6.856482 6.244165

Communicationspolicy andadministrativemanagement (22010)

75.27732 88.454715 420.730115 132.006715 110.400204 80.928839 80.262081 154.122097 110.112075

Telecommunications(22020) 113.362522 361.736633 222.962634 176.553595 198.848209 45.574006 52.956894 227.723211 131.211471

Radio/television/printmedia (22030) 80.967775 58.765769 237.773117 33.396733 49.718865 113.817512 40.753832 59.46545 61.308985

Information andcommunication

technology (ICT)(22040)

1.455 11.192504 56.324783 52.988309 134.786904 305.040732 218.243611 203.022945 138.318145

Energy policy andadministrativemanagement (23010)

329.357324 530.433713 470.13821 505.805895 854.241855 1820.303289 2120.591314 952.35474 1647.258748

12-08-31 11:52 AM


management (23010)

Powergeneration/non-renewable sources(23020)

466.011189 462.989804 535.536987 479.193152 777.225681 764.256166 417.058954 564.199088 714.752958

Powergeneration/renewablesources (23030)

149.604988 166.690086 68.84719 347.427193 273.879136 362.954924 734.382122 1150.752212 1771.971793

Electricaltransmission/distribution (23040)

1301.407423 567.977154 3519.481849 1564.626958 1601.602987 1813.437624 2798.228741 2912.880077 4054.661737

Gas distribution(23050) 0.074432 756.188004 27.378002 3.470965 0.51 46.121671 158.408152 10.363231 2.52236

Oil-fired power plants(23061) 1.236483 0.10118 38.326862 15.763975 15.259437 39.387752 356.713562 99.085289 17.312147

Gas-fired powerplants (23062) 199.372693 638.02062 627.153737 542.446288 3.189623 155.911736 196.208709 35.026759 793.430358

Coal-fired powerplants (23063) 232.148084 377.165504 0.604769 185.679597 253.385014 0.648992 81.996602 357.437953 0.152164

Nuclear power plants(23064) 119.036764 4.146199 36.740406 29.814651 122.524217 119.357301 286.991158 366.550795 536.043753

Hydro-electric powerplants (23065) 614.768117 136.655148 815.357992 480.274539 719.904449 1181.381756 442.196079 217.965618 690.757325

Geothermal energy(23066) 1.67307 0.153 96.373639 224.873382 10.497016 7.88473 2.68706 43.300589 673.335339

Solar energy (23067) 71.603963 50.134319 14.113925 64.311385 52.67256 25.460031 154.988541 328.035918 242.469818

Wind power (23068) 70.014188 151.322069 114.287968 125.804819 93.211281 147.076006 321.75675 218.760959 991.350956

Ocean power (23069) .. .. .. .. 0.376553 .. 0.014424 0.094416 0.086887

Biomass (23070) 27.699501 2.64127 4.139421 14.885747 20.457486 34.913145 105.458945 132.238906 53.203044

Energyeducation/training(23081)

6.166221 5.532969 8.2849 15.919918 16.067148 15.840402 55.640193 19.88359 30.675244

Energy research(23082) 4.913959 1.9144 0.449931 5.620709 14.616838 2.164036 28.973624 18.707966 4.865132

12-08-31 11:52 AM


Financial policy andadministrativemanagement (24010)

453.552457 371.999922 669.272883 439.894271 382.228259 328.734532 885.885185 1112.853856 543.074276

Monetary institutions(24020) 3.743536 10.198326 30.605037 220.128935 2.693864 14.869907 36.343763 59.316911 21.105631

Formal sectorfinancialintermediaries(24030)

434.859326 476.385388 437.897676 598.182773 984.766523 1056.508757 1947.428673 1885.452175 1275.620922

Informal/semi-formalfinancialintermediaries(24040)

194.523576 415.914465 289.980732 404.140905 243.218568 739.890085 619.723016 558.054307 804.662794

Education/training inbanking and financialservices (24081)

2.492468 12.201877 13.939895 20.603516 25.885716 26.992767 39.650296 56.025076 51.852924

Business supportservices andinstitutions (25010)

736.906569 1024.559988 1100.700404 1025.792532 1445.324739 2012.072851 2060.259105 1615.240853 1932.05476

Privatisation (25020) 55.305766 124.668354 293.090176 48.878222 33.311237 92.575408 83.18095 26.416971 60.859814

Agricultural policy andadministrativemanagement (31110)

507.433985 357.337627 733.752551 681.403175 675.898991 973.172611 1157.472878 2259.034158 1845.827494

Agriculturaldevelopment (31120) 480.359635 1073.740416 726.596823 775.797053 645.675525 947.261728 871.704636 1686.517717 2470.650793

Agricultural landresources (31130) 209.733095 253.510748 247.787243 153.609488 158.259527 122.913809 197.719057 336.604998 126.226257

Agricultural waterresources (31140) 676.471659 217.95523 413.736474 705.232331 693.53363 993.585422 1291.263902 892.893115 1164.326004

Agricultural inputs(31150) 117.447068 69.789059 68.292113 80.615746 75.185332 129.49615 453.893652 153.618481 140.172621

Food crop production(31161) 120.142068 230.202474 159.336376 189.13968 180.236837 167.854104 429.209774 433.953267 285.119158

Industrialcrops/export crops(31162)

24.221751 43.721402 21.541902 52.477263 121.785999 279.119179 265.091773 144.756673 340.251225

12-08-31 11:52 AM


Livestock (31163) 28.206921 66.873271 128.710076 104.08458 150.27359 129.512871 58.698278 138.395154 121.05018

Agrarian reform(31164) 9.581068 24.245623 7.761081 28.599156 33.111066 147.348998 25.591948 28.005364 28.668733

Agriculturalalternativedevelopment (31165)

127.214659 6.930404 285.323215 298.191328 187.37165 385.592594 389.446496 302.237713 283.677072

Agricultural extension(31166) 32.977624 54.334576 106.728794 65.985148 410.762939 108.91841 94.515618 79.442278 113.673247

Agriculturaleducation/training(31181)

33.97813 46.547477 35.021936 89.94054 58.862004 131.771795 95.356319 86.512825 72.759994

Agricultural research(31182) 202.250173 254.568193 285.420719 298.124905 407.911999 745.261792 836.040505 474.532864 602.837154

Agricultural services(31191) 98.649157 54.0955 136.880984 142.257851 75.662168 78.018268 169.596534 254.282628 213.522016

Plant and post-harvest protectionand pest control(31192)

9.147224 18.72034 32.149266 21.752648 12.708951 37.16999 35.853632 23.161971 16.281009

Agricultural financialservices (31193)

36.257586 143.681363 24.043955 63.646645 96.422631 371.514718 189.127265 259.452504 156.716142

Agricultural co-operatives (31194) 33.933949 24.94255 31.513203 56.137573 41.29379 72.706871 75.80609 170.609118 65.938816

Livestock/veterinaryservices (31195) 9.137355 22.251421 25.40587 38.833759 74.190534 75.698815 73.343029 148.847246 113.3481

Forestry policy andadministrativemanagement (31210)

83.243331 74.965907 211.535791 139.140478 167.354726 183.92561 362.161384 334.630717 800.280571

Forestry development(31220) 260.989023 468.595535 168.598069 412.461914 299.18142 429.763972 320.578016 209.559095 140.217646

Fuelwood/charcoal(31261) 1.675026 4.176488 5.85 0.098195 3E-06 5.113959 1.377592 7.099443 62.298778

Forestryeducation/training(31281)

7.287233 1.252801 6.835336 4.209012 5.832665 4.262619 19.550533 3.697601 8.236507

12-08-31 11:52 AM


(31281)

Forestry research(31282) 5.106396 8.245838 10.842495 9.763854 12.20258 29.499945 14.458155 7.20442 18.098991

Forestry services(31291) 0.665934 5.834327 0.389973 1.441711 7.523048 1.149287 1.460689 7.030267 3.297657

Fishing policy andadministrativemanagement (31310)

61.556744 43.996088 86.525151 106.761533 85.560057 126.875354 163.216238 148.19503 85.921684

Fishery development(31320) 75.265656 88.098236 37.940558 86.141642 94.104134 84.002541 197.820928 255.703769 201.705386

Fisheryeducation/training(31381)

5.29789 8.994528 22.161277 5.574566 15.237695 5.714701 12.923368 5.39241 21.949372

Fishery research(31382) 11.05783 21.233231 5.355264 6.486967 4.117392 19.108864 12.335629 19.77978 19.457478

Fishery services

(31391) 48.36566 31.408077 49.694974 67.553233 20.031139 60.164129 88.404401 143.314244 38.73074

Industrial policy andadministrativemanagement (32110)

113.943553 132.361697 181.452356 190.607425 91.385666 179.688852 206.015947 127.901103 80.509343

Industrialdevelopment (32120) 488.047555 223.033364 337.145775 296.659125 218.378085 79.151685 94.634118 30.374352 202.978528

Small and medium-sized enterprises(SME) development(32130)

292.745856 247.85605 693.294391 689.29729 976.224214 542.946512 1099.124565 964.167306 1027.29704

Cottage industries andhandicraft (32140) 9.21148 24.321523 19.4463 23.378044 15.130177 20.945826 31.592135 21.425834 25.688567

Agro-industries(32161) 120.770829 54.147423 73.620266 62.909998 122.063602 64.475143 73.427756 106.515 159.274681

Forest industries(32162) 1.208525 9.077519 6.827826 6.066326 3.688982 3.408264 2.533432 8.05209 6.060666

Textiles, leather andsubstitutes (32163) 5.751307 6.127094 6.692176 7.168613 3.892646 19.95695 50.861048 6.264547 9.973321

Chemicals (32164) 7.63453 30.623357 5.790314 3.087803 2.969833 6.457334 87.350445 44.917735 29.910906

12-08-31 11:52 AM


Fertilizer plants(32165) 1.113 0.798 0.344869 0.386408 .. 10.434678 175.383775 .. 0.112964

Cement/lime/plaster(32166) 29.685252 7.312372 5.135249 44.324968 1.795054 0.717959 0.569012 0.558642 0.50473

Energy manufacturing(32167) 3.936714 4.159784 921.100464 6.370248 3.694202 48.821195 20.117103 4.026831 2.176415

Pharmaceuticalproduction (32168) 6.441065 3.486856 0.746762 4.315394 0.061665 12.387627 15.8642 1.341482 62.113497

Basic metal industries(32169) 1.141086 5.460803 1.557912 3.541462 2.465247 21.278083 11.741329 6.943971 22.671853

Non-ferrous metalindustries (32170) 0.221 0.099961 0.454612 0.39338 3.991027 0.328875 0.275896 0.074404 ..

Engineering (32171) 17.621983 72.138153 21.190557 17.45239 18.46304 15.255214 35.999332 96.737631 75.213186

Transport equipmentindustry (32172) 154.768799 2.894703 16.695971 7.048734 7.462242 4.330829 24.750289 18.968897 0.375351

Technologicalresearch anddevelopment (32182)

16.771419 27.824282 74.247708 88.679367 97.44199 141.061621 60.924023 65.714406 37.917563

Mineral/mining policyand administrativemanagement (32210)

213.388425 115.371151 190.057231 109.906823 72.319225 33.000367 92.241709 95.564521 134.191278

Mineral prospectionand exploration(32220)

115.744195 40.940227 11.361247 25.030981 26.568126 5.251367 50.160479 58.364773 12.723603

Coal (32261) 0.595197 3.146731 0.524124 0.586 0.368 2.303412 4.456259 1.485506 ..

Oil and gas (32262) 134.992186 820.019561 71.310269 645.559168 252.528651 32.747874 536.894537 276.572888 9.68788

Ferrous metals(32263) 0.004 0.003 18.635855 0.232731 .. 0.020601 0.058979 0.03822 0.006623

Nonferrous metals(32264) 0.980499 66.708011 0.683974 59.656972 16.417309 0.2 0.03 0.172427 1.338436

Preciousmetals/materials(32265)

0.809079 5.632972 0.042101 5.450814 29.976417 0.420078 0.005655 0.02923 0.022384

12-08-31 11:52 AM


Industrial minerals(32266) 0.325808 0.16821 2.035672 0.855966 0.012552 0.005476 .. 0.127176 317.880795

Fertilizer minerals(32267) 0.250683 0.364 .. .. .. .. .. 0.003 0.018874

Offshore minerals(32268) 0.161942 0.007909 .. .. 1.060049 0.008535 1.042339 6.55062 ..

Trade policy andadministrativemanagement (33110)

591.609727 447.449612 346.776909 520.748723 786.458961 415.422971 693.006415 726.059824 493.593822

Trade facilitation(33120) 27.032604 44.457352 67.145429 107.14787 99.546404 143.299554 295.406591 307.782419 389.397454

Regional tradeagreements (RTAs)(33130)

29.214127 121.52306 78.361844 12.893147 106.587361 181.138432 62.640316 257.912687 268.438919

Multilateral tradenegotiations (33140) 6.183087 11.44576 13.28979 14.36021 32.794482 34.551481 33.868947 17.017167 8.166049

Trade-relatedadjustment (33150) .. .. .. .. .. 0.279252 6.491373 15.837613 28.990687

Tradeeducation/training(33181)

8.296253 6.113153 8.584716 9.317584 23.377357 34.193265 14.361281 26.806552 17.92969

Tourism policy andadministrativemanagement (33210)

32.970047 80.430825 62.932222 165.029006 459.204143 88.474106 64.732211 181.300066 165.768959

TOTAL SECTORALLOCABLE 43377.746933 54424.566971 71150.174998 72964.209337 82006.132718 95684.982092 113631.672886 122934.106241 129263.367754

12-08-31 11:55 AMHistorical Statistics of the United States Millennial Edition Online

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12-08-31 11:56 AMLabour Characteristics of the Off-Reserve Aboriginal Population - BC Stats

Page 1 of 1http://www.bcstats.gov.bc.ca/StatisticsBySubject/AboriginalPeoples/LabourCharacteristics.aspx

Labour Force SurveyThe February 4, 2011 release of the Labour Force Survey incorporated changes tounderlying population, industry coding and geography. For details please see the

Infoline Report issued on that same date (starting on page 3) orImprovements to the Labour Force Survey (LFS).

Highlights

Recent Trends in the Off-Reserve Aboriginal Labour Force Participation(from May 2011 issue of Business Indicators)

2007 (from February 2008 issue of Business Indicators)

2006 (from April 2007 issue of Earnings and Employment Trends)

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Labour Characteristics of the Off-ReservePopulation

Notes:The Labour Force Survey covers the Off-reserve, civilian non-institutional population of Canada. Labour characteristics of the On-reserve Aboriginal population are available only from the Census of Canada, carried out at 5-year intervals. See BC STATSAboriginal Statistical Profiles.

The Labour Force Survey is a sample survey and estimates are subject to both sampling and non-sampling errors. See StatisticsCanada's Guide to the Labour Force Survey.

Aboriginal identity: Persons who reported identifying with at least one Aboriginal group, i.e. North American Indian, Métis or Inuit.This is based on the individual's own perception of his/her Aboriginal identity, similar to the concept used with the Census.

Goods-producing industries (or goods sector, or goods industries): Includes agriculture; forestry, fishing, mining, and oil and gasextraction; utilities (electric power, gas and water); construction; and manufacturing.

Service-producing industries (or service sector or service industries): Includes trade; transportation and warehousing; finance,insurance, real estate and leasing; professional, scientific and technical services; management, administrative and other support;educational services; health care and social assistance; information, culture and recreation; accommodation and food services;other services; and public administration.

Source: Statistics Canada, Labour Force SurveyPrepared by BC Stats

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VALUES CHANGE THE WORLDWORLD VALUES SURVEY

5

The World Values Survey is a worldwide investigation of sociocultural and political FKDQJH��,W�EXLOGV�RQ�WKH�(XURSHDQ�9DOXHV�6XUYH\V�ÀUVW�FDUULHG�RXW�LQ��7RJHWKHU�WKHVH�

amount to representative national surveys of basic values and beliefs in 97 societies on DOO�VL[�FRQWLQHQWV��FRQWDLQLQJ��SHUFHQW�RI�WKH�ZRUOG·V�SRSXODWLRQ��The four-wave aggre-JDWH�GDWD�ÀOH�LQFOXGHV�WKH�ÀUVW�IRXU�ZDYHV�

Wave Years Countries Population Respondents

� �� 20 �� 25,000

2 ��

� �� 52 5,700,000,000 75,000

� �� 67 �� 96,000

5 �� 6,700,000,000 77,000

)RXU�ZDYH�DJJUHJDWH�GDWD�ÀOH �� 257.000

Countries Covered

97 countries, covering 88% of the world’s population have been surveyed as of 2007.

It takes an effort to reach some of the respondents,

like here in western Zambia. All samples are repre-

sentative (age, sex, occupation and regional distri-

bution) within a country.

All interviews are made face to face in the respon-

dents own environment. Here at home in Karlstad,

Sweden.

7

work toward emphasis on imagination and tolerance as important values to inculcate in a child. And it is connected to a rising sense of subjective well-being that is conducive to an atmosphere of tolerance, trust and political moderation. This produces a culture in which people place relatively high value on individual freedom and self-expression, and have activist political orientations. These are precisely the same attributes that the OLWHUDWXUH�RQ�SROLWLFDO�FXOWXUH�GHÀQHV�DV�FUXFLDO�IRU�GHPRFUDF\�

The Triangular Nexus of Human Development

(Welzel, Inglehart 2008)

HUMANDEVELOPMENT

Growing Resources

Self- expression

Democratic Institutions

The global cultural map

8

II. Insatsförsvaret

Desire for freedom and democracy is a universal human aspiration, but it is not top pri-ority when people grow up feeling that survival is uncertain. When basic physiological DQG�VDIHW\�QHHGV�DUH�IXOÀOOHG��JURZLQJ�HPSKDVLV�RQ�VHOI�H[SUHVVLRQ�YDOXHV�PDNHV�WKH�

emergence of democracy increasingly likely.

Findings from the WVS demonstrate that the correlation between mass self-expression values and democratic institutions in a society is remarkably strong and consistent. The graph below illustrates this correlation. In the long run, the process of intergenerational population replacement tends to make the self-expression values more widespread. Countries with authoritarian regimes are therefore likely to become more liberalized LQ�WKH�QH[W��WR��\HDUV�DV�D�FRQVHTXHQFH�RI�WKLV�YDOXH�VKLIW��&RXQWULHV�ZKLFK�VKRZ�D�

lower level of democracy than their citizens’ values would predict, are likely to become genuine democracies.

Understandings of Democracy

9

The essence of democracy is the empowerment of ordinary citizens. But holding elec-tions alone will not accomplish this, if it does not transfer power from the elites to the SHRSOH��:96� UHVHDUFKHUV�KDYH� LGHQWLÀHG� D�KXPDQ�GHYHORSPHQW� VHTXHQFH� FRQVLVWLQJ�

of three elements: action resources, self-expression values and democratic institutions. (DFK�RI�WKHVH�FRPSRQHQWV�HPSRZHUV�SHRSOH�RQ�D�GLIIHUHQW�OHYHO��VHH�ÀJ��

Action resources include both material resources and cognitive resources, such as edu-cation and skills which help people govern their lives. Modernization not only increases people’s economic resources, it also brings rising educational levels and moves people into occupations that require independent thinking, making them more articulate and better equipped to participate in politics.

The human development sequence is based on two casual linkages. First, economic development increases ordinary people’s resources, leading to the emergence of self-expression values. Second, effective democratic institutions emerge in societies that emphasize self-expression values. Economic development tends to make self-expres-sion values increasingly widespread, regardless of whether people live in democracies or authoritarian societies.

Today WVS covers almost 90 percent of the world’s population, making it possible to measure whether some countries are actually more democratic than other. To under-stand how democracy emerges, it is not enough to focus solely on elites – increas-ingly, one must also study mass-level developments. Thus, it is crucial to distinguish between effective democracies on one hand, and ineffective or pseudo democracies on the other. One can establish electoral democracy almost anywhere, but it may not be GHHS�URRWHG�RU�ORQJ�ODVWLQJ�LI�WKH�GHFLVLYH�LQÁXHQFH�RQ�JRYHUQPHQW�LV�QRW�WUDQVIHUUHG�

to the people.

Empowerment

EMPOWERING ECONOMYAction Resources

(Enabling people to govern their lives)

EMPOWERING CULTURESelf-Expression Values

(Motivating people to govern their lives)

EMPOWERING REGIMEDemocratic Institutions

(Entitling people to govern their lives)

HUMAN DEVELOPMENT(people being able, motivated, and entitled to govern their lives)

The Human Development Model

(Welzel, Inglehart 2008)

”The major effect of modernization is not

that it makes democracy more acceptable

to elites, but that it increases ordinary

people’s capabilities and willingness to

struggle for democratic institutions”

10

6LQFH� WKH� ÀUVW� URXQG� RI� YDOXHV� VXUYH\V� LQ� �� WKH� ZRUOG� KDV� ZLWQHVVHG� SURIRXQG�

changes in political, economic and social spheres and ever-accelerating technologi-FDO�DGYDQFHV��*OREDOL]DWLRQ�LV�RIWHQ�GHÀQHG�DV�DQ�XQSDUDOOHOHG�LQFUHDVH�LQ�WKH�ÁRZ�RI�

capital, goods, services and information. Today capital markets are integrated around the globe, movies and books circle the world in seconds, and hundreds of millions of people visit the same websites, watch the same news channels and even laugh at the same jokes.

Therefore, it has been frequently asserted that this ongoing development should result in a convergence of values. If national borders are less important, the cultural conse-quence according to the assertion, should be a decrease in nationalism and national-istic sentiments. Ongoing individualization decreases the importance of religion and traditional family values.

Are these developments indeed taking place? Or are the winds of globalization coun-tered by strong and successful resistance from local forces?

It seems as if both modernization theorists and culturalists are right to some extent, EXW�GDWD�IURP�VRPH��FRXQWULHV�VKRZ�WKDW�IURP��WR��WKHUH�LV�DOPRVW�QR�HYL-dence of a convergence of values. Marriage, family and gender relations show changes, but this is a parallel movement with given societies remaining as distinct in 2007 as WKH\�ZHUH�LQ��

Findings from the WVS point to the conclusion that support for gender equality is not just a consequence of democratization. It is part of a broader cultural change that is transforming industrialized societies and fuelling mass demands for increasingly demo-cratic institutions. Although a majority of the world’s population still believes that men make better political leaders than women, this view is fading in advanced industrialized societies, and also among young people in less prosperous countries.

Globalization, Gender and Converging Values?

11

Culture, Diversity and Religion

The data from the World Values Survey cover many different dimensions of people’s reli-gious orientations. From a secularization point of view, two of these dimensions are espe-cially important. One of them tracks how involved people are in religious services and how much importance they attach to their religious beliefs. The other dimension concerns people’s attitudes towards the relation between religion and politics and whether they DSSURYH�RI�UHOLJLRXV�VSRNHVPHQ�ZKR�WU\�WR�LQÁXHQFH�JRYHUQPHQW�GHFLVLRQV�DQG�SHRSOH·V�

voting preferences. According to most versions of secularization theory, modernization and rising levels of human security are said to cause declining levels of religious involve-ment together with a more skeptical view of religion impacting on politics. However, recent research into religious change has also suggested that modernization brings growing lev-els of cultural diversity, and that cultural diversity in turn yields increasing levels of religious involvement and more positive views of religion impacting on politics. In this way, two different dimensions of modernization have been assumed to affect religion in opposite ways, with one component of modernization would causing religious decline, and another generating religious growth.

The data from the World Values Survey have supported both these hypotheses in a very interesting way. Analyzing the levels of human security, the data reveal a positive relation between cultural diversity and the two core dimensions of religion. In a similar fashion, controlling for the levels of cultural diversity, the data demonstrate a negative relation between human security and the two dimensions. In this way, detailed analysis of WVS data show that two different dimensions of modernization have opposite effects on religion. One dimension of mod-ernization brings a religious decline, while another brings religious growth. Accord-ingly, two different dimensions of modernization apparently give rise to two opposite kinds of religious change. Simple and one-sided models of future patterns of religious change should be avoided. Making a case for “the return of religion” is as hard as mak-ing one for the future “decline of the religious factor”.

The WVS covers a rising number of countries with Muslim populations. In the most recent ZDYH��DERXW��SHUFHQW�RI� WKH�UHVSRQGHQWV� LGHQWLÀHG�WKHPVHOYHV�DV�0XVOLPV��7KH�:96�

will therefore provide a unique opportunity for a deepened understanding of the value SURÀOHV�RI�RUGLQDU\�0XVOLP�PHQ�DQG�ZRPHQ�IURP�GLIIHUHQW�SDUWV�RI�WKH�,VODPLF�ZRUOG��

Improved standard of living

and existential security

Cultural diversity

and openness

Modernization and economic development

Religious involvement

–

+

+

+

One component of modernization pushes religion to decline; another component pushes religion to increase

12

Attempts impose democracy on nations suffering from high levels of violence and inse-curity are unlikely to succeed. As long as physical survival remains uncertain, democ-UDF\� LV�QRW� OLNHO\� WR�ÁRXULVK��7KH�SUHVHQW� VLWXDWLRQ� LQ� ,UDT� LV� D� FDVH� LQ�SRLQW��2Q� WKH�

other hand, when economic development brings a growing sense of security, it tends to give rise to publics who want political liberalization, and who become increasingly articulate in demanding it.

Although organizing elections is relatively easy, establishing stable democracies under FRQGLWLRQV� RI� VHYHUH� H[LVWHQWLDO� LQVHFXULW\� LV� H[WUHPHO\� GLIÀFXOW�� 6WDEOH� DQG� HIIHFWLYH�

democracy generally emerges through a process of human development that starts with economic development and leads to a culture of tolerance, trust and emphasis on human autonomy. This promotes emancipation on many fronts, from individual auton-omy to gender equality and democracy.

Our data show how relief from immediate threats of hunger and physical danger allows people to shift from materialistic, survival values to post-materialist values, giving top priority to self-expression, freedom of choice and quality of life rather than economic and physical security. They also show how socioeconomic development brings a shift from the xenophobic and authoritarian outlook linked with survival values toward the increasingly tolerant and democratic outlook linked with self-expression values.

7KH�:96�VXUYH\�FDUULHG�RXW�LQ�,UDT��VKRZHG�WKDW�PRUH�WKDQ��SHUFHQW�RI�WKH�,UDTL�

public rejected foreigners as neighbors — this is more than twice the level of rejection found in any other society. Although xenophobia tends to be more widespread among poorer countries, Iraq shows a much higher level than other countries with comparable income, and a far higher rejection of foreigners than other Islamic societies.

Because xenophobia is so intense in Iraq, any government seen as dependent on foreign military support will have little legitimacy. But an elected government that is not depen-dent on foreign powers has a good chance of attaining legitimacy if it maintains order. 'HVSLWH�DQWDJRQLVP�WRZDUG�:HVWHUQ�GHPRFUDFLHV�� IXOO\��SHUFHQW�RI�WKH�,UDTL�SXEOLF�

VXUYH\HG�VDLG�WKDW�GHPRFUDF\�ZDV�WKH�EHVW�IRUP�RI�JRYHUQPHQW��ZLWK�QR�VLJQLÀFDQW�GLI-ference between Iraqi Kurds and Arabs.

Rising Insecurity and Values

12-08-31 12:08 PMSurvey Topics

Page 1 of 2http://www.afrobarometer.org/survey-and-methods/survey-topics

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Forthcoming

1 study

2 studies

3 studies

4 or more studies

Click on a country above to view the StudyResults for that country or use the menu below.

An African-led series of national public attitude surveys ondemocracy and governance in Africa

Home Partners Survey and Methods Data Results Publications Online Data Analysis Contact Us

SURVEY TOPICSEach Afrobarometer survey collects data about individual attitudes and behavior, includinginnovative indicators especially relevant to developing societies.

DemocracyPopular understanding of, support for, and satisfaction with democracy,as well as any desire to return to, or experiment with, authoritarianalternatives.

GovernanceThe demand for, and satisfaction with, effective, accountable and cleangovernment; judgments of overall governance perfomance and socialservice delivery.

LivelihoodsHow do African families survive? What variety of formal and informalmeans do they use to gain access to food, shelter, water, health,employment and money?

Macro-economicsand Markets

Citizen understandings of market principles and market reforms and theirassessments of economic conditions and government performance ateconomic management.

Social CapitalWhom do people trust? To what extent do they rely on informal networksand associations? What are their evaluations of the trustworthiness ofvarious institutions?

Conflict andCrime

How safe do people feel? What has been their experience with crime andviolence?

ParticipationThe extent to which ordinary folks join in development efforts, comply withthe laws of the land, vote in elections, contact elected representatives,and engage in protest. The quality of electoral representation.

National Identity How do people see themselves in relation to ethnic and class identities?Does a shared sense of national identity exist?

Special Topics Modules in Round 5 include:

Taxation Perceptions of the fairness and clarity of the taxation system, andindicators of the public's willingness to comply with it.

Gender Issues Perspectives on the rights and roles of women in society and politics

Crime, Conflict,and Insecurity

Experiences of and responses to crime and insecurity; the role andeffectiveness of security institutions, including police and military

Globalization The extent of access to and use of mobile phones, as well as computersand the internet

Social ServiceDelivery

Ease of access to and use of social services. Personal experiences ofproblems encountered in the delivery of health and education services.

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Professor Andrei Shleifer's Data SetsDataset for the paper "The Unofficial Economy and Economic Development"(download data)

Dataset and definitions for the paper "Divergence of Legal Procedures"(download data and definitions)

Dataset and country annexes for the paper "Disclosure by Politicians" (downloaddata and country annexes)

Dataset for the paper "Debt Enforcement Around the World" (data download)

Dataset for the paper "The Economic Consequences of Legal Origins" (datadownload) (mini database download)

Dataset for the paper "The Age of Milton Friedman" (download)

Dataset for the paper "The Extent of the Market and the Supply of Regulation"(download)

Dataset for the paper "The Law and Economics of Self-Dealing" (download)

Dataset for the paper "Conscription as Regulation" (download)

Courts and Judicial Efficiency for 109 countries (databases for the paper"Courts: The Lex Mundi Project") (download) (datasets for the paper "Courts: TheLex Mundi Project") (download)Description of variables for the paper "Courts: The Lex Mundi Project"(download)

Can Political Institutions cause economic growth? (dataset for the paper "DoInstitutions cause growth?") (download) (download)

Government Ownership of Banks for 92 countries (dataset for the paper"Government Ownership of Banks") (download)

Constitutional rules in 71 countries (dataset for the paper “Judicial Checks andBalances”) (data download)Description of variables for the paper “Judicial Checks and Balances”(download)

Labor Regulations for 85 countries (dataset for the paper "Labor Law")(download)

Harvard Econ Department - Andrei Shleifer - Data Sets http://www.economics.harvard.edu/faculty/shleifer/dataset

1 of 2 05/09/2012 10:35 AM

Dataset for the paper “Private Credit in 129 Countries” (data download)

Quality of Government, Legal Origin of 200 countries, Religion composition in200 countries (dataset for the paper "The Quality of Government") (download)

Regulation to Start up a business for 85 countries (dataset for the paper"Regulation of Entry") (download)

Securities laws and Enforcement for 49 countries (dataset for the paper "Whatworks in Securities Laws?") (download)Securities laws and Enforcement for 49 countries (documentation for data)

Shareholder Rights, Creditor Rights, size and breath of capital markets for 49countries (dataset for papers "Law and Finance," "Legal Determinants of ExternalFinance," and "Investor Protection and Corporate Governance" (download)

Trust for xx countries (dataset for paper "Trust in large organizations")(download)

Dataset for the paper “Who Owns the Media?” (data download)

Dataset for the paper "The Effect of Corporate Taxes on Investment andEntrepreneurship" (data download)

Data for the paper "Regulation and Distrust" (data download)

Dataset for the paper "The Evolution of Legal Rule" (data download) (explanationof variables)

---------------------

© 2007 by the President and Fellows of Harvard College

Harvard Econ Department - Andrei Shleifer - Data Sets http://www.economics.harvard.edu/faculty/shleifer/dataset

2 of 2 05/09/2012 10:35 AM

Home > People > Daron Acemoglu > Data Archive

About People Graduate Program Undergraduate Program Events And Seminars Centers

Data Archive

Acemoglu, Johnson and Robinson(2012)

Acemoglu, Cantoni, Johnson andRobinson (2011)

Acemoglu and Autor (2010)

Acemoglu and Dell (2010)

Acemoglu, Johnson, Querubin, andRobinson (2008)

Acemoglu and Guerrieri (2008)

Acemoglu, Johnson, Robinson, andYared (2008)

Acemoglu and Johnson (2007)

Acemoglu and Johnson (2005)

Acemoglu, Johnson, and Robinson(2005)

Acemoglu, Autor, and Lyle (2004)

Acemoglu and Linn (2004)

Acemoglu, Johnson, Robinson, andThaicharoen (2003)


Acemoglu and Ventura (2002)

Acemoglu (2002)


Acemoglu and Angrist (2001)

Acemoglu and Angrist (2000)

Daron AcemogluData Archive

Please follow the links below to access the datasets and program files used in a number

of my papers. The links are ordered according to date of publication.

Hither Thou Shalt Come, But No Further: Reply to " The Colonial Origins of Comparative Development: An

Empirical Investigation: Comment "

Daron Acemoglu, Simon Johnson, and James Robinsonforthcoming, American Economic Review.

The Consequences of Radical Reform: The French Revolution

Daron Acemoglu, Davide Cantoni, Simon Johnson, and James RobinsonAmerican Economic Review 101(7), December 2011, pp. 3286–3307.

Skills, Tasks and Technologies: Implications for Employment and Earnings

Daron Acemoglu and David H. AutorHandbook of Labor Economics Volume 4, Orley Ashenfelter and David E. Card (eds.), Amsterdam: Elsevier, forthcoming.

Productivity Differences Between and Within Countries

Daron Acemoglu and Melissa Dellforthcoming, American Economic Journal: Macroeconomics.

When Does Policy Reform Work - The Case of Central Bank Independence

Daron Acemoglu, Simon Johnson, Pablo Querubin, and James A. RobinsonBrookings Papers on Economic Activity, 2008(1), pp. 351-418.

Capital Deepening and Non-Balanced Economic Growth

Daron Acemoglu and Veronica GuerrieriJournal of Political Economy, 116(3), June 2008: pp. 467-498.

Income and Democracy

Daron Acemoglu, Simon Johnson, James A. Robinson, and Pierre YaredAmerican Economic Review, 98(3), June 2008: pp. 808-42.

Disease and Development: The Effect of Life Expectancy on Economic Growth

Daron Acemoglu and Simon JohnsonJournal of Political Economy 115, December 2007: pp. 925-985.

Unbundling Institutions

Daron Acemoglu and Simon JohnsonJournal of Political Economy, 113(5), October 2005: pp. 949-995.

The Rise of Europe: Atlantic Trade, Institutional Change and Economic Growth

Daron Acemoglu, Simon Johnson, and James A. RobinsonAmerican Economic Review, 95(3), June 2005: pp. 546-579.

Women, War and Wages: The Effect of Female Labor Supply on the Wage Structure at Mid-Century

Daron Acemoglu, David Autor, and David LyleJournal of Political Economy, 112(3), June 2004.

Market Size in Innovation: Theory and Evidence from the Pharmaceutical Industry

Daron Acemoglu and Joshua LinnQuarterly Journal of Economics, 119(3), August 2004: pp. 1049–1090.

Institutional Causes, Macroeeconomic Symptoms: Volatility, Crises and Growth

Daron Acemoglu, Simon Johnson, James A. Robinson, and Yunyong ThaicharoenJournal of Monetary Economics, 50, January 2003: pp. 49-123.

Reversal of Fortune: Geography and Institutions in the Making of the Modern World Income Distribution

Daron Acemoglu, Simon Johnson, and James A. RobinsonQuarterly Journal of Economics, 117, November 2002: pp. 1231-1294.

The World Income Distribution

Daron Acemoglu and Jaume VenturaQuarterly Journal of Economics, 117, May 2002: pp 659-694.

Technical Change, Inequality, and The Labor Market

Daron AcemogluJournal of Economic Literature, 40, March 2002: pp. 7-72.

The Colonial Origins of Comparative Development: An Empirical Investigation

MIT Economics : Daron Acemoglu http://economics.mit.edu/faculty/acemoglu/data

1 of 2 05/09/2012 10:39 AM

Daron Acemoglu, Simon Johnson, and James A. RobinsonAmerican Economic Review, 91, December 2001: pp. 1369-1401.

Consequences of Employment Protection? The Case of the Americans with Disabilities Act

Daron Acemoglu and Joshua AngristJournal of Political Economy, 109, October 2001: pp 915-957.

How Large Are Human Capital Externalities Evidence? Evidence from Compulsory Schooling Laws

Daron Acemoglu and Joshua AngristNBER Macroeconomics Annual, 2000: pp. 9-59.

Contents of this site © 2011 Massachusetts Institute of Technology Department of Economics. All rights reserved.

MIT Economics : Daron Acemoglu http://economics.mit.edu/faculty/acemoglu/data

2 of 2 05/09/2012 10:39 AM

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STATA

Software Package STATA is available in computer labs in Buchanan. Recommended that you purchase your own copy: Campus-wide special plan for purchasing Place order Pick up on campus

http://www.stata.com/order/new/edu/gradplans/cgpcampus-order.html

Version: STATA/IC 12 with PDF documentation Need INTERCOOLED - Small STATA too small $108 for one year

24

STATA Tutorial Help: The STATA program has an on-line help command. Useful sources: STATA:

http://www.stata.com/links/resources-for-learning-stata/ UCLA:

http://www.ats.ucla.edu/stat/stata/ Princeton:

http://data.princeton.edu/stata/ University of North Carolina:

http://www.cpc.unc.edu/research/tools/data_analysis/statatutorial/index.html

25

COURSE SCHEDULE

Fall 2012 (Econ 495): September 6, 2012: Lecture: Introduction Econometric Review Lectures: September 11, 2012: Lecture: Econometric Review: Linear Regression

Model September 13, 2012: Lecture: Econometric Review: Dummy Variables September 18, 2012: Lecture: Econometric Review: Instrumental

Variables September 20, 2012: Lecture: Econometric Review: Panel Data

26

Journal Articles and Working with Data: Country-Level Data September 25, 2012: Lecture:

Nunn, N. (2008) “The long-term effects of Africa’s slave trades”, Quarterly Journal of Economics, February, 139-176.

September 27, 2012: Computer Lab: Replication Study: Assignment #1. [Country Data]

27

Micro-Level Data: October 2, 2012: Lecture:

Olken, B. (2009) “Do Television and Radio Destroy Social Capital? Evidence from Indonesian Villages.” American Economic Journal: Applied Economics 1(4), 1-33.

October 4, 2012: Computer Lab: Replication Study: Assignment #2. [Micro Data]

28

Panel Data: October 9, 2012: Lecture:

Dell, M., B. Jones, and B. Olken (2012) “Temperature Shocks and Economic Growth: Evidence from the Last Half Century.” American Economic Journal: Macroeconomics. 4(3), 66-95.

October 11, 2012: Computer Lab: Replication Study: Assignment #3. [Panel Data]

29

Research Article Summary (Honours Essay Topic): Student Presentations (15-20 minutes)

October 16, 2012: Student Presentations: Assignment #4 [Article

Summary] October 18, 2012: Student Presentations: Assignment #4 [Article

Summary] October 23, 2012: Student Presentations: Assignment #4 [Article

Summary]

30

Literature Review (Honours Essay Topic): October 25, 2012 – November 15: No Class. Assignment #5. [Literature Review] Research Proposal for Honours Essay: Student Presentations (10 minutes)

November 20, 2012: Student Presentations: Assignment #6 [Research

Proposal] November 22, 2012: Student Presentations: Assignment #6 [Research

Proposal] November 27, 2012 – November 29, 2012: No Class.

31

EVALUATION (ECON 495 – TERM 1) Assignment #1 [Country Data]. Due October 4, 2012. {15%} Assignment #2 [Micro Data]. Due October 11, 2012. {15%} Assignment #3 [Panel Data]. Due October 18, 2012. {15%} Assignment #4 [Article Summary]. Due October 30, 2012.

{Presentation: 8%; Report: 12%} Assignment #5 [Literature Review]. Due November 15, 2012. {20%} Assignment #6 [Reserach Proposal]. Due November 29, 2012.

{Presentation: 5%; Report: 10%}

32

COURSE SCHEDULE (ECON 499 – TERM 2)

Winter 2013 (Econ 499): Data Summary (Honours Thesis): Student Presentations (15 minutes)

January 28, 2013: Student Presentations: Assignment #1 [Data and

Summary Statistics] January 30, 2013: Student Presentations: Assignment #1 [Data and

Summary Statistics] February 1, 2013: Student Presentations: Assignment #1 [Data and

Summary Statistics]

33

Regression Results (Honours Thesis): Student Presentations (15 minutes)

March 4, 2013: Student Presentations: Assignment #2 [Regression

Analysis and Results] March 6, 2013: Student Presentations: Assignment #2 [Regression

Analysis and Results] March 8, 2013: Student Presentations: Assignment #2 [Regression

Analysis and Results]

34

Honours Thesis: April 5, 2013: First Draft of Honours Thesis Due April 10, 2013 – April 24, 2013: Student Presentations: Honours Thesis Defenses April 30, 2013: Final Draft of Honours Thesis Due

35

EVALUATION – ECON 499

Assignment #1 [Data and Summary Statistics]: {Presentation: 5% ; Report: 5%}

Assignement #2 [Regression Analysis and Results]:

{Presentation: 5%; Report: 5%} First Draft of Honours Thesis: {10%} Honours Thesis Defense: {20%} Final Draft of Honours Thesis: {50%}

36

COURSE READINGS Background Reading:

Principles of Econometrics

By R.C. Hill, W.E. Griffiths, and G.C. Lim Published by Wiley 2012

{Chapters 2, 3, 4, 5, 6, 7, 11, and 15}

Using Stata for Principles of Econometrics By L.C. Adkins and R.C. Hill

37

Required Course Readings: Country-Level Data: Nunn, N. (2008) “The long-term effects of Africa’s slave trades”, Quarterly Journal of Economics, February, 139-176.

Download article from: http://www.economics.harvard.edu/faculty/nunn/files/empirical_slavery.pdf

Download data from: http://www.economics.harvard.edu/faculty/nunn/data_nunn

38

Micro-Level Data: Olken, B. (2009) “Do Television and Radio Destroy Social Capital? Evidence from Indonesian Villages.” American Economic Journal: Applied Economics 1(4), 1-33.

Download paper from: http://www.aeaweb.org/articles.php?doi=10.1257/app.1.4.1

Download data from: http://www.aeaweb.org/articles.php?doi=10.1257/app.1.4.1

39

Panel Data: Dell, M., B. Jones, and B. Olken (2012) “Temperature Shocks and Economic Growth: Evidence from the Last Half Century.” American Economic Journal: Macroeconomics. 4(3), 66-95.

Download paper from: http://www.aeaweb.org/articles.php?doi=10.1257/mac.4.3.66

Download data from: http://www.aeaweb.org/articles.php?doi=10.1257/mac.4.3.66

econ 495/499 honours seminar/honours thesis 2012...

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