health policy through the social welfare lens · health policy through the social welfare lens marc...
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Health policy through the social
welfare lens Marc Fleurbaey
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Topics • Socio-economic health inequalities • Inequalities of opportunities for health • Fairness in cost-benefit analysis
1. Why we need a social welfare criterion 2. How to construct a social welfare criterion 3. Illustration Sources: joint work with Koen Decancq, Brigitte Dormont, Stéphane Luchini, François Maniquet, Anne-Laure Samson, Erik Schokkaert, Clémence Thébaut, Carine Vandevoorde
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Part I
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Why we need a social welfare criterion
Socio-economic health inequalities I
• Correlation between socio-economic status (SES) and health
• Concentration curve (and index)
• Problem: not sensitive to the relative importance of health, gives absolute priority to lower SES people
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SES
Cumulated health
CI in Spanish regions
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Garcia Gomez and Lopez Nicolas, BBVA DT 2007
Socio-economic health inequalities II
• Disparity indicators o Average health per SES group o Need to standardize (different SES groups have different
sociodemographics)
• Relative risks across SES • Stochastic dominance of health distributions
conditional on SES
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Ratio of average SAH
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RR of death in Europe
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Mackenbach et al., NEJM 2008
RR of death in Spain (men)
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Nolasco et al. International Journal for Equity in Health (2015) 14:33
RR of death (women)
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Self-assessed health by SES in Spain
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Ruiz de la Sierra 2007 http://ec.europa.eu/health/ph_determinants/socio_economics/documents/ev_070507_co05_en.pdf
Socio-economic inequalities: conclusion
• Problem: does not take account of the relative importance of health
• The correlation between SES and health matters little if either health or SES matters little
• It also matters much less if SES and health are complementary rather than substitutes
• One would need a SWF with utility indexes reflecting preferences to assess the impact of socioeconomic health inequalities on social welfare
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Complements : no correlation
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75%
25%
Complements : perfect correlation
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50%
50%
Substitutes : no correlation
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50%
25%
25%
Substitutes : perfect correlation
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0%
50%
50%
Inequality of opportunities I
• Circumstances versus effort or preferences • Health as a function of multiple factors, sorted out in
two categories: o Circumstances (type): parental SES or education level o Effort: rank in the distribution of health in one’s type
• Then compare average health by type, across types (standardization is needed here too)
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Inequality of opportunities II
• Direct approach: inequality of average health by type (= inequality between types)
• Indirect approach: total inequality – inequality of health divided by type average (inequality within types)
• The two approaches coincide if the mean log deviation is used as inequality index
• But there is no reason to choose the index on this basis
• Variant: o Direct unfairness = inequality in 𝑓 𝑐, �̃� o Fairness gap = inequality in 𝑓 𝑐, 𝑒 − 𝑓 �̃�, 𝑒
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Ineq. of opportunities in European countries
XXXV Spanish Health Economics Conference, Granada 17-19 June 2015 19 Jusot et al. 2010 HEDG Working Paper 10/26
Inequality of opportunities III
• Problems: o Circumstances not all observed underestimation of inequality o Niehues and Peichl (SCW 2014) have proposed a way to estimate an
upper bound: put individual fixed effects in the circumstances o What is effort? Metaphysical notion. Better to interpret the approach as
pointing out the influence (correlation) of certain variables o Then we are back to socioeconomic health inequalities, but with parental
characteristics instead of personal SES o Why take the average per type? Because inequalities within types do not
matter –but perhaps they should o Implicitly takes personal SES as a don’t care. Why focus on health only?
One should look at well-being o Opportunities is a popular concept, but controversial in ethics. Leads to
type I errors too easily: the “undeserving poor” have many deserving people
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Inequality of opportunities: conclusion
• Opportunities a deceptively attractive concept • At most it tracks the correlation between certain
variables (circumstances) and health • Alternative approach: respect people’s
preferences • Some are less interested in health than others, one
can respect that, instead of forcing everyone to have the same health or the same “opportunity set”
• A social welfare function with utility indexes that reflect individual preferences is the needed tool for this alternative approach
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Cost-benefit analysis in health
• Socio-economic health inequalities ignore the relative importance of health
• Inequality of opportunity in health ignore SES and its correlation with health
• CBA is not popular in health o QALYs and cost-effectiveness analysis o Which does not say how to trade off health against other goods o Willingness to pay (WTP) for a QALY
• But it is needed: o How to evaluate the share of health expenses in GDP otherwise? o Even in CEA, should one prioritize people ignoring their SES?
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Spain in “Health at a glance” (OECD)
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• Nowhere in these data do the population preferences appear
• Imagine doing the same for food expenditures and nutrition
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Why is CBA not popular in health?
• The sum of WTP counts a euro for a rich as the same as a euro for a poor
• The rich have greater WTP for certain treatments, it seems unfair to give them priority
• What does economic theory say? o Unweighted sum of WTP is unethical and inconsistent o Weighted sum of WTP, when the weights are equal the marginal social
value of income for the various individuals, addresses these issues o This requires a social welfare function (SWF) o What is so frightening about a social welfare function? Interpersonal
comparisons o So, either unweighted CBA is implemented, or no CBA at all
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How to construct a social welfare criterion
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Part II
How to construct a SWF • Two ingredients: utilities, SWF • The SWF can be of the CES type and one can vary
the degree of inequality aversion to let this parameter be decided by the decision-maker
• The fairness literature (Fleurbaey Maniquet 2011) suggests the maximin is the best criterion (Pareto, Pigou-Dalton, informational simplicity): seems extreme?
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How to construct utilities • This is a normative choice (who is better off?), not a
purely empirical question (Robbins 1932) • Respecting preferences implies a lot:
o An indifference curve that is everywhere above another curve signals a better situation (no matter where the bundles are)
o Even if they belong to different individuals with different preferences o Important caveat: the relevant dimensions must be recorded o So, purely ordinal preferences can help in interpersonal comparisons o This excludes happiness data, because individuals use scales of
satisfaction differently and the person with the better situation may declare a lower satisfaction
• What to do when indifference curves cross? o Impossible to answer in general, or in an abstract model with unnamed
commodities o A concrete model gives meaning to the dimensions of the space
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The health-income model
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Income
health 0 1
Where preferences matter
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Income
health 0 1
Where preferences don’t matter (?)
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Income
health 0 1
Healthy equivalent income
Note: it respects preferences when indifference curves don’t cross
The endogenous reference health
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Income
health 0 1
Healthy equivalent income in social welfare analysis
• Equivalent income is a utility function • It is fully interpersonally comparable and
measurable • Therefore it can be put into any social welfare
function • It incorporates the relative importance of health for
the diverse preferences of the population • Therefore it can be used for
o Inequality analysis: does the SES-health correlation matter? o CBA: it provides social marginal values of income, i.e., distributional
weights for the summation of WTP o Trends in comprehensive living standards
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Part III
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Illustration
Estimated preferences
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Schokkaert et al. 2013
Inequalities
• Income inequalities matter more than health inequalities
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Schokkaert et al. 2013
CBA: hypertension treatments
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Samson et al. (in progress) A: placebo B: less costly, less effective in the LR C: more costly, more effective LR
CBA: Costs
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CBA: Social welfare comparison
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Conclusion: B dominates, the extra cost of C is not worth the additional health benefits
Trends in living standards
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Boarini et al. (in progress)
2000 2002 2004 2006 2008 2010 2012
GDP
Estimated preferences
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Conclusions • Social welfare function framework useful for
o Inequalities: do socio-economic inequalities matter? o Cost-benefit analysis: do we spend too much on health? o Living standards growth: beyond GDP
• Interpersonal comparisons are possible o Equivalent income is one possibility o Respecting preferences has strong implications o Yes, value judgments are needed, how could it be otherwise? o The role of experts is not to make value judgments, but to explore the
implications of various value judgments
Samuelson (1947): “It is a legitimate exercise of economic analysis to examine the consequences of various value judgments”
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Further reading • Fleurbaey M., F. Maniquet 2011, A Theory of Fairness and Social Welfare,
Cambridge University Press. • Fleurbaey M., E. Schokkaert 2011, "Equity in health and health care", in M.Pauly, T.
McGuire and P. Pita-Barros (eds) Handbook of Health Economics, vol. 2, North-Holland.
• Fleurbaey M., D. Blanchet 2013, Beyond GDP. Measuring Welfare and Assessing Sustainability, Oxford University Press.
• Fleurbaey M., E. Schokkaert, S. Luchini, C. Muller 2013, "Equivalent incomes and the economic evaluation of health care", Health Economics 22: 711-729.
• Schokkaert E., C. Van de Voorde, Brigitte Dormont, M. Fleurbaey, Stéphane Luchini, Anne-Laure Samson, Clémence Thébaut 2013, "Equity in health and equivalent incomes", Research on Economic Inequality 21: 131-156.
• K. Decancq, M. Fleurbaey, E. Schokkaert 2015, "Inequality, income, and well-being", in A.B. Atkinson and F. Bourguignon (eds.), Handbook of Income Distribution 2A, Elsevier.
• Anne-Laure Samson, Clémence Thébaut, Schokkaert E., Brigitte Dormont, M. Fleurbaey, Stéphane Luchini, C. Van de Voorde, “Fairness in economic evaluation: an application to antihypertensive treatments”, in progress.
• Boarini R., M. Fleurbaey, F. Murtin, P. Schreyer, “From subjective well-being to living standards measurement”, in progress.
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