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    Valuing the Unmeasurable:

    non-market valuation using

    conjoint analysis

    Sahan Dissanayake

    Agricultural and Consumer Economics

    University of Illinois

    [email protected]

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    Outline

    Introduction My Background Two questions Why non-market valuation?

    Stated preference vs revealed preference Stated Preference Why conjoint analysis?

    History Pros and Cons

    Applications of CJ My Research Project Conclusions Questions A few words on applying to US graduate programs

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    My Background

    University of Illinois

    Department of Agricultural andConsumer Economics

    Located in Urbana-Champaign, Illinois Surrounded by corn fields

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    My Background

    My research interests

    Mathematical Programming for ReserveDesign

    GE Modeling of Environmental Tax

    Non-Market Valuation using ConjointAnalysis

    Intersections of Civil Conflict, FoodSecurity and Economic Development

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    The Pinnawala Elephant Orphanage is in the process of beingexpanded. Fifty acres of additional land will be purchased,expanding the carrying capacity by 100 elephants. In addition 20rare plant species will be planted.

    The expansion will require an increase in the entrance fee. Thecurrent entrance fee is Rs. 100.00

    How much of an increase in the entrance fee are you willing topay to support the expansion?

    Two Questions

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    Two Questions

    Option A Option B

    50 acres ofpaddy landwill be

    purchased and converted to

    use by Pinnawala

    50 acres offorest land will be

    purchased and converted to

    use by Pinnawala

    Capacity increases by 100

    elephants

    Capacity increases by 75

    elephants

    20 species of rare plants will be

    planted

    10 species of rare plants will be

    planted

    The entrance fee will increase by

    Rs. 50.00

    The entrance fee will increase by

    Rs. 25.00

    The Pinnawala Elephant Orphanage is in theprocess of being expanded. Which option wouldyou choose?

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    Why non-market valuation?

    Imperfect and Incomplete Markets

    The market does not capture the full value of

    goods and services The Sinharaja National Forest is worth more

    than the land and the timber

    The value of the biosphere is estimated to be

    US$16

    -54

    trillion per year*(Global GNP is ~ US$18 trillion per year)

    *Costanza et. al. 1997

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    Why non-market valuation?

    We obtain utility from goods that are notdirectly purchased in the market

    The existence of elephants

    Carbon sequestration in the Amazon

    The utility can be negative

    Air pollution

    Fertilizer runoff

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    For market goods prices are public and the demand or the

    goods varies among individuals

    For nonmarket goods levels are public and shared while the

    marginal values vary

    Policy makers need to consider both themarket and non-market values when makingdecisions.

    Why non-market valuation?

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    Stated vs Revealed Preference

    Revealed Preference

    Use existing markettransactions to reveal

    the preference for nonmarket goods

    Examples

    Hedonic Analysis

    Travel Cost

    Revealed preferencemethods require

    a link between the

    market good and thenon-market good

    enough variation in theprices to useeconometric estimationtechniques

    Stated Preference

    Gathers responses fromsurveys conducted toestimate WTP or WTAfor non market goods

    Examples

    Contingent Valuation

    Conjoint Analysis

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    A Brief History ofSP Methods

    L. L. Thurstons work in the 1920s built on priorwork by psycologists.

    Economists started using surveys by the 1940s tounderstand consumer purchases.

    Davis (1960) was the first occurrence when statedpreference surveys were used to value outdoor

    recreation.

    Lancaster (1966) laid the economic foundations formethods to value attributes of goods.

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    Advantages and Disadvantages ofSP

    SP Valuation methods rely on peoples ability to ordertheir preferences.

    Ranking is less confrontational than pricing

    SP methods can accommodate New goods

    Limit the choice set

    Introduce hypothetical scenarios

    Downside concerns about validity since the decision making

    context is hypothetical.

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    Stated Preference Question Types

    SP valuations rely on answers to carefully wordedsurvey question

    Answers Monetary amounts

    Choices

    Ratings

    Answers are scaled following an appropriatemode of preference to yield a measure value.

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    Stated Preference Question Types

    Binary choice questions are attractive

    Less cognitive burden on the respondent

    Only require comparison oftwo items at

    a time (unlike ranking, rating, andmultinomial choice which requirecomparison amongst three or moreitems)

    Respondents only need to make an

    ordinal judgment (no need to calculate aWTP)

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    Validity of stated preference valuation

    Validity of the measure

    Does the estimated value measure thetheoretical objective.

    Does the mean WTP match the populationsmean Hicksian surplus?

    The validity can be assessed by comparing it

    with a direct measure Most time NMV is used when behavior is not

    directly observable

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    Conjoint Analysis

    Based on Lancasters (1966) consumer theory

    consumers derive utility not from goods themselves butrather from the attributes or characteristics that thegoods possess.

    The stated preference equivalent for hedonicmethod.

    Historically

    Conjoint measurement: mathematical psychology

    Conjoint analysis: marketing research

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    ASample CJ Survey

    A sample survey fromJan et. al (2000)

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    ASample CJ Survey

    A sample survey from Baarsma (2003)

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    Conjoint Analysis

    Geographic and temporal scope of the change Single or multiple sites, instantaneous or not... Who benefits, passive uses, relevant behavior...

    Most important attributes that influence decisions Number of attributes Levels of each attribute Use focus groups and pre-tests

    Experimental Design ChoicesFull factorial designs

    Fractional factorial designsOrthogonal designsRandomized designsCompletely Randomized designs

    Data collection methods

    Mail SurveyPersonal interviewsTelephone interviewsOnline surveys

    Steps in conducting CJ survey1. Characterize the decision problem

    2. Identify and describe the attributes

    3. Develop an experimental design4. Develop the questionnaire

    5. Collect data

    6. Estimate model

    7. Interpret results for policy analysis ordecision support

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    Examples ofStated Preference

    Clem Tisdell and Ranjith Bandara - VisitorsReaction to Pinnawala Elephant Orphanage

    in Sri Lanka: A Survey

    The mean WTP estimates, calculated on themaximum WTP amount, is Rs. 409.39.

    local WTP Rs. 55.09 (current Rs. 25.00)

    foreign WTP Rs. 738.39 (current Rs. 200.00)

    Your Responses?

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    Examples ofStated Preference

    Clem Tisdell and Ranjith Bandara Comparison of rural and urban attitudes to

    the conservation of Asian elephants

    They use a contingent valuation survey

    Urban WTP is higher than rural WTP

    Urban WTP loss to farmers > 0

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    Examples ofStated Preference

    Jeevika Weerahewa Perceptions of Social Climate inCalculating Poverty

    A conjoint analysis survey of social climate

    attributes - access to health, access to education, risk to lifeand property, and income

    Levels - good, moderate, and bad

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    Examples of Conjoint Analysis

    Milon and Scrogin (2006) study the preferencesforrestoring the Florida Greater Evergladeswetland ecosystem using a split-sample designbased on ecological characterization

    They find structural characterization subsample favors

    restoration more than the functional subsample

    socioeconomic and attitudinal factors effect theWTP

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    Examples of Conjoint Analysis

    Morrison et al. (1999) study the effect of includingthe loss of agricultural employment when calculatingthe WTP for Macquarie Marshes, New Zealand

    They find WTP for an additional species is $4 (1997 AU$)

    WTP for an irrigation-related job is $0.13

    Inclusion of employment in the choice models loweredthe overall willingness to pay for environmental

    improvements by 20% - 30%

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    Examples of Conjoint Analysis

    Beenstock et. al. (1998) conduct a survey ofhouseholds attitudes to electricity outagesand find status quo effects

    loss aversion

    They suggest an empirical approach forremoving response biases from conjointanalyses

    They compares the results with a CV considerable response resistance in the case

    of CV (over50% gave 0 as the response)

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    Examples of Conjoint Analysis

    Neuman and Neuman (2008) analyzethe loss aversion in discrete choiceexperiment involving the quality ofmaternity wards in three hospitals inIsrael.

    They find loss aversion for four of fiveattributes

    Not found for travel time

    Isreal is fairly small

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    Examples of Conjoint Analysis

    Teisl et. al. (1996) analyze the severalpotential management programs forAtlantic salmon in the Penobscot Riverfishery across multiple angler groups.

    They find that preferences are

    driven by the size of the resulting fish stock

    less by whether the fishery was natural

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    Examples of Conjoint Analysis

    Jan et. al. (2000) study a SouthAustralian communities preferences forpublic hospital services.

    They were unable to estimate WTP butfind that

    Improvements in complication rates arepositively associated

    Waiting times and parking arenegatively associated

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    Examples of Conjoint Analysis

    Baarsma (2003) study WTP to save the IJmeernature reserve in Netherlands which is partly beingdeveloped into a city.

    She finds Respondents are willing to contribute between1.31

    and 2.15 to maintaining the nature reserve with a10% increase in recreation

    This is equivalent to0.675 million for Amsterdam.

    Ranking, rating and choice give inconsistent estimates

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    My Project

    Understanding the preferences forbird habitat restoration.

    Loss aversion (Behavioral economics)

    Analyze the impact of specifying theopportunity cost in terms of foregonespecies

    Size/Number effects Study the preferences over saving a large

    number of individuals from a few speciesversus

    many species with few individuals fromeach species.

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    Common Pitfalls

    Characterize the WTP clearly

    WTP for individuals or household

    Payments are one time or monthly or annually

    Payment vehicle needs to be identified Sample size

    Response rate should be considered

    Not including a status quo option

    Recently the literature suggests using a status quo option Taking the final results as all encompassing

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    Conclusion

    Conjoint Analysis is rapidly growing as a wayto elicit nonmarket valuations.

    Preferred to CV since the respondent is not

    required to monetize a good or service. Experiment design and analysis is complex

    (than CV).

    Not limited to environmental goods/services.

    If you have ideas to discuss or questionsabout CA e-mail me [email protected]

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    Reference Texts

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    Last Example

    Heaven and Hell lI1991, Alkyd and Oil on canvas

    Collection of Carmen Lomas Garza

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    Last Example

    Branas-Garza et. al. (2009) analyze lossaversion with respect to the role ofheaven and hell in religious behaviorusing 35,000 subjects.

    They find the effect of the carrot (heaven) is more

    than three times as large as the effect ofthe stick (hell)

    in the presence of infinitum rewards or

    punishment, rewards (carrots) are moreeffective than punishment (stick) inencouraging religious practice

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    Thank you forlistening Questions?

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    Applying to US Graduate Programs

    Dont be afraid to e-mail prospective advisers

    Starting a conversation early can helpidentifying funding and suitable universities

    Many faculty will respond But make sure your research interests match

    and dont e-mail randomly

    Spend time on your personal statement Emphasize the research you have done

    Mention the advanced text books you used

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    Applying to US Graduate Programs

    When choosing schools, apply to

    a broad range of schools

    programs that have had prior students from

    Peradeniya programs that your faculty attended

    programs where your research interests match

    Spend time on your personal statement Emphasize the research you have done

    Mention the advanced text books you used

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    Validity of stated preference valuation

    Validity of the measure

    Does the estimated value measure thetheoretical objective.

    Does the mean WTP from CV match thepopulations mean Hicksian surplus?

    The validity can be assessed by comparing it

    with a direct measure Most time NMV is used when behavior is not

    directly observable

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    Validity of stated preference valuation

    Three forms of validity Criterion validity

    Compare the SP measure with another measure(criterion) that is closer to the theoretical construct

    Construct validity

    Test if the SP measure relates to other measures aspredicted by theory. (changes with income, travel cost)

    Content validity Tests the quality of the survey instrument that was

    used.

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    My Background

    Education

    BA in Computer Science and Economics

    MA (2010) in Applied Mathematics

    PhD (2011?) in Applied Economics Research

    Mathematical Programming for Reserve Design

    GE Modeling of Environmental Tax

    Non-Market Valuation using Conjoint Analysis Civil Conflict, Food Security and Poverty

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    Conjoint Analysis

    Geographic and temporal scope of the change Single or multiple sites, instantaneous or not... Who benefits, passive uses, relevant behavior...

    Most important attributes that influence decisions Number of attributes Levels of each attribute Use focus groups and pre-tests

    Experimental Design ChoicesFull factorial designsFractional factorial designsOrthogonal designsRandomized designsCompletely Randomized designs

    Data collection methods

    Mail SurveyPersonal interviewsTelephone interviewsOnline surveys

    Steps in conducting CJ survey1. Characterize the decision problem

    2. Identify and describe the attributes

    3. Develop an experimental design4. Develop the questionnaire

    5. Collect data

    6. Estimate model

    7. Interpret results for policy analysis or

    decision support