peter saunders and christopher snowdon presentation to the rsa. july 2010

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    A critique ofThe Spirit Level

    Peter Saunders(author: Beware False Prophets)

    Chris Snowdon(author: The Spirit Level Delusion)

    Debate at the Royal Society of Arts, London,

    22 July 2010

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    HAPPINESS/EQUALITY

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    HAPPINESS/GNI ($)

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    Quality of life index

    1. Health: Life expectancy at birth (in years). Source: US Census Bureau2. Family life: Divorce rate (per 1,000 population), converted into index of 1 (lowest divorce rates) to 5

    (highest). Sources: UN; Euromonitor3. Community life: Variable taking value 1 if country has either high rate of church attendance or trade-

    union membership; zero otherwise. Source: World Values Survey4. Material well being: GDP per person, at PPP in $. Source: Economist Intelligence Unit5. Political stability and security: Political stability and security ratings. Source: Economist Intelligence

    Unit

    6. Climate and geography: Latitude, to distinguish between warmer and colder climates. Source: CIAWorld Factbook7. Job security: Unemployment rate (%.) Source: Economist Intelligence Unit8. Political freedom:Average of indexes of political and civil liberties. Scale of 1 (completely free) to 7

    (unfree). Source: Freedom House9. Gender equality: Measured using ratio of average male and female earnings. Source: UNDP Human

    Development Report

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    Quality of life index

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    Quality of life index

    There is no evidence for an explanation sometimes

    proffered for the apparent paradox of increasing incomes

    and stagnant life-satisfaction scores: the idea that an

    increase in someones income causes envy and reducesthe welfare and satisfaction of others. In our estimates,

    the level of income inequality had no impact on levels of

    life satisfaction.

    The Economist Quality of Life index (2005)

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    Now that good data on income inequality have become available

    for 16 western industrialised countries, the association between

    income inequality and life expectancy has disappeared.

    Prof. Johan Mackenbach, Professor of Public Health, University of

    Rotterdam

    Income inequality and population health: Evidence favouring a

    negative correlation between income inequality and life expectancy

    has disappeared, British Medical Journal, 2002 (Editorial)

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    Although there are many puzzles that remain, I conclude that there

    is no direct link from income inequality to ill-health; individuals are

    no more likely to die if they live in more unequal places.

    Prof. Angus Deaton, Professor of Economics and International

    Affairs at the Woodrow Wilson School and the Economics

    Department at Princeton

    Health, inequality and economic development, Journal of Economic

    Literature, May 2001

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    The preponderance of evidence suggests that the relationship

    between income inequality and health is either non-existent or too

    fragile to show up in a robustly estimated panel specification. The

    best cross-national studies now uniformly fail to find a statistically

    reliable relationship between economic inequality and longevity.- Andrew Leigh, Professor of Economics, Australian National

    University, Christopher Jencks, Malcolm Wiener Professor of Social

    Policy, Harvard Kennedy School, Timothy Smeeding, Distinguished

    Professor of Public Affairs, University of Wisconsin.

    Health and economic inequality in W. Salverda et al (eds), TheOxford Handbook of Economic Inequality2009

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    LIFE EXPECTANCY

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    LIFE EXPECTANCY

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    LIFE EXPECTANCY

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    OBESITY

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    OBESITY

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    The evidence presented in the book is mostly a series of

    scatter diagrams with a regression line drawn through

    them. If you remove the bold lines from the diagram, the

    pattern of points mostly looks random, and the datadominated by a few outliers.

    John Kay, Professor of Economics at London Business

    School, Financial Times 2009

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    1. OUTLIERS:

    Income Inequality and HomicideIfBritain became as equal as [Scandinavia] homicide rates could fall by 75%With USA: R2 = 0.22, p=0.025

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    1. OUTLIERS:

    Income Inequality and HomicideIfBritain became as equal as [Scandinavia] homicide rates could fall by 75%With USA: R2 = 0.22, p=0.025 Without USA: R

    2 = 0.10, p=0.159(not significant)

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    1. OUTLIERS:

    Inequality and Childhood ObesityWith USA: R2 = 0.306; p = 0.008

    Without USA: R2 = 0.084;

    p = 0.129 (not significant)

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    1. OUTLIERS:

    Inequality and Life expectancyWith Japan: R2 = 0.154, p= 0.036. Without Japan: R

    2 = 0.057,

    p = 0.148 (not significant)

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    2.CULTURAL/HISTORICAL FACTORS:

    Inequality and Womens statusWith Scandinavia: R2 = 0.211,p =0.016

    Without Scandinavia:R2 = -0.030,p = 0.503 (not significant)

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    2.CULTURAL/HISTORICAL FACTORS:

    Inequality and Patents(NB: Unequal variances)With Scandinavia: R2 = 0.203,

    p = 0.020

    Without Scandinavia: R2 = 0.013, p =0.287 (not significant)

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    WHY ITS CRUCIAL TO TEST FOR CULTURAL/

    HISTORICAL FACTORS

    Saunders tries to dismiss our evidence by variously excluding countries...

    arbitrarily cutting out certain countries (Wilkinson and Pickett, The Guardian

    website, 9 July 2010)

    Japan, Scandinavia

    Traditional agrarian latedevelopers

    Folk tradition, strong

    national/collective identity

    Ethnic homogeneity, lowimmigration, little inter-

    marriage with outsiders

    State expresses ideal of

    Peoples Home

    UK and Anglo settler countries

    Very early moderniser, earlydemise of feudalism

    Weak family bonds, strongly

    individualistic values

    Heterogenous (esp. settlercountries), plural and

    diverse

    State distrusted as threat to

    individual liberty

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    3. INFLUENCE OF THIRD VARIABLES:

    Inequality, Ethnicity and US homicidesHomicide and income inequality

    R2=0.269, p

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    3. INFLUENCE OF THIRD VARIABLES:Multivariate model predicting Homicide from income inequality,

    ethnic composition and Deep South dummy variable

    Model fit R2 =0.613,

    p

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    3. INFLUENCE OF THIRD VARIABLESInequality, Ethnicity and US infant mortalityInfant mortality and incomeinequality (R2 = 0.143, p=0.007)

    Infant mortality and % African-American (R2 = 0.544 p

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    3. INFLUENCE OF THIRD VARIABLESMultivariate model predicting infant mortality from income

    inequality, ethnic composition and Deep South dummy variable Model fit R2 = 0.487,

    p

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    3. INFLUENCE OF THIRD VARIABLES

    Once we control for the fraction of the population that

    is black, there is no relationship between income

    inequality and mortality across statesAngus Deaton, Professor of Economics & International Affairs, Princeton (Mortality,

    inequality and race in American cities and states, Social Science & Medicine, 2003

    Correcting" our US state analyses for the proportion of

    black inhabitants is...racist because it implies the

    problem is inherently the people themselves rather thantheir socioeconomic position.Richard Wilkinson and Kate Pickett, Peter Saunderss sleight of hand, The Guardian

    web site, 9 July 2010

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    3. INFLUENCE OF THIRD VARIABLES

    Once we control for the fraction of the population that isblack, there is no relationship between income inequalityand mortality across statesAngus Deaton, Professor of Economics & International Affairs, Princeton (Mortality,

    inequality and race in American cities and states, Social Science & Medicine, 2003

    The suggestion that the results in the US reflect theproportion of black people in each state is inaccurate andcontains a seriously racist slur... Correcting" our US state

    analyses for the proportion of black inhabitants is...racistbecause it implies the problem is inherently the peoplethemselves rather than their socioeconomic position.Richard Wilkinson and Kate Pickett, Peter Saunderss sleight of hand, The Guardian website, 9 July 2010

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    4: Theory is refuted by trends over time

    UK total crime 1960-2000 UK life expectancy 1979-2008

    International life expectancy 1980-2000 International infant mortality 1980-2000

    UK infant mortality 1961-2008

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    5. The theory doesnt fit JapanWilkinson & Picketts inadequate, one-dimensional understanding of

    social stratification leads to major problems in their account

    John Goldthorpe, Analysing social inequality, European Sociological Review2009

    How people see youmatters...social status [isone of] the most

    important markers ofpsychosocial stress inmodern societies

    The Spirit Level, 40-1

    Japan is a society in whichhierarchical ranking permeatespersonal interactions morethan mostRon Dore, Taking Japan Seriously1987

    Hierarchical ranking runsthrough Japanese life.... There

    is no doubt that hierarchicaldifferences affect interactionbetween Japanese people intheir everyday lives. It isdifficult to know how tobehave unless one can placeother people in a hierarchicalorder in relation to oneselfJoy Hendry, Understanding JapaneseSociety, 3rd edn, 2003

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    6.Different indicators, different findings...

    Social misery is higher in

    more equal societies

    R=0.64, Adjusted R2 = 0.39, p