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    <title>Distribution: General</title>
    <link>http://repub.eur.nl/res/concept/jel-D30/</link>
    <description>Recent publications classified by JEL Code D30</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
    </image>
    <item>
      <title>Rising Inequalities in Income and Health in China: Who is left behind? (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/37312/</link>
      <pubDate>2012-06-13T00:00:00Z</pubDate>
      <description>
        
        During the last decades, China has experienced double-digit economic growth rates and rising inequality. This paper implements a new decomposition on the China Health and Nutrition panel Survey (1991-2006) to examine the extent to which changes in level and distribution of incomes and in income mobility are related to health disparities between rich and poor. We find that health disparities in China relate to rising income inequality and in particular to the adverse health and income experience of older (wo)men, but not to the growth rate of average incomes over the last decades. These findings suggest that replacement incomes and pensions at older ages may be one of the most important policy levers in combating health disparities between rich and poor Chinese.
      </description>
      <author>Baeten, S.A.</author> <author>Ourti, T.G.M.  van</author> <author>Doorslaer, E.K.A. van</author>
    </item> <item>
      <title>An experimental test of the concentration index
 (Article)</title>
      <link>http://repub.eur.nl/res/pub/37327/</link>
      <pubDate>2012-01-01T00:00:00Z</pubDate>
      <description>
        
        The concentration index is widely used to measure income-related inequality in health. No insight exists, however, whether the concentration index connects with people's preferences about distributions of income and health and whether a reduction in the concentration index reflects an increase in social welfare. We explored this question by testing the central assumption underlying the concentration index and found that it was systematically violated. We also tested the validity of alternative health inequality measures that have been proposed in the literature. Our data showed that decreases in the spread of income and health were considered socially desirable, but decreases in the correlation between income and health not necessarily. Support for a condition implying that the inequality in the distribution of income and in the distribution of health can be considered separately was mixed.


      </description>
      <author>Bleichrodt, H.</author> <author>Rohde, K.I.M.</author> <author>Ourti, T.G.M.  van</author>
    </item> <item>
      <title>Long-Run Returns to Education
Does Schooling Lead to an Extended Old Age?
 (Article)</title>
      <link>http://repub.eur.nl/res/pub/26873/</link>
      <pubDate>2011-10-01T00:00:00Z</pubDate>
      <description>
        
        While there is no doubt that health is strongly correlated with education, whether schooling exerts a causal impact on health is not firmly established. We exploit a Dutch compulsory schooling law to estimate the causal effect of education on mortality. The reform provides a powerful instrument, significantly raising years of schooling, which, in turn, has a significant and robust negative effect on mortality. For men surviving to age 81, an extra year of schooling is estimated to reduce the probability of dying before the age of 89 by almost three percentage points relative to a baseline of 50 percent. 


      </description>
      <author>Kippersluis, J.L.W. van</author> <author>O'Donnell, O.A.</author> <author>Doorslaer, E.K.A. van</author>
    </item> <item>
      <title>Socioeconomic differences in health over the life cycle in an Egalitarian country (Article)</title>
      <link>http://repub.eur.nl/res/pub/22117/</link>
      <pubDate>2010-02-01T00:00:00Z</pubDate>
      <description>
        
        A strong cross-sectional relationship between health and socioeconomic status is firmly established. This paper adopts a life cycle perspective to investigate whether the socioeconomically disadvantaged, on top of a lower health level, experience a sharper deterioration of health over time. Data are drawn from the Dutch Central Bureau of Statistics (CBS) Health Interview Surveys covering the period 1983–2000. The analysis focuses on the self-rated health and disability of persons aged 16–80. We show that in the Netherlands, as in the US, the socioeconomic gradient in health widens until late-middle age and narrows thereafter. The analysis and the available evidence suggests that the widening gradient is attributable both to health-related withdrawal from the labor force, resulting in lower incomes, and the cumulative protective effect of education on health outcomes. The less educated appear to suffer a double health penalty in that they begin adult life with a slightly lower health level, which subsequently declines at a faster rate.
      </description>
      <author>Kippersluis, J.L.W. van</author> <author>O'Donnell, O.A.</author> <author>Doorslaer, E.K.A. van</author>
    </item> <item>
      <title>The effect of income growth and inequality on health inequality: Theory and empirical evidence from the European Panel (Article)</title>
      <link>http://repub.eur.nl/res/pub/19649/</link>
      <pubDate>2009-05-01T00:00:00Z</pubDate>
      <description>
        
        Governments of EU countries have declared that they would like to couple income growth with reductions in social inequalities in income and health. We show that, theoretically, both aims can be reconciled only under very specific conditions concerning the type of growth and the income responsiveness of health. We investigate whether these conditions were met in Europe in the 1990s using panel data from the European Community Household Panel. We demonstrate that (i) in most countries, the income elasticity of health was positive and increases with income, and (ii) that income growth was not pro-rich in most EU countries, resulting in small or negligible reductions in income inequality. The combination of both findings explains the modest increases we observe in income-related health inequality in the majority of countries.
      </description>
      <author>Ourti, T.G.M.  van</author> <author>Doorslaer, E.K.A. van</author> <author>Koolman, A.H.E.</author>
    </item> <item>
      <title>Long Run Returns to Education: Does Schooling Lead to an Extended Old Age? (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/16297/</link>
      <pubDate>2009-04-01T00:00:00Z</pubDate>
      <description>
        
        While there is no doubt that health is strongly correlated with education, whether schooling exerts a causal impact on health is not yet firmly established. We exploit Dutch compulsory schooling laws in a Regression Discontinuity Design applied to linked data from health surveys, tax files and the mortality register to estimate the causal effect of education on mortality. The reform provides a powerful instrument, significantly raising years of schooling, which, in turn, has a large and significant effect on mortality even in old age. An extra year of schooling is estimated to reduce the probability of dying between ages of 81 and 88 by 2-3 percentage points relative to a baseline of 50 percent. High school graduation is estimated to reduce the probability of dying between the ages of 81 and 88 by a remarkable 17-26 percentage points but this does not appear to be due to any sheepskin effects of finishing high school on mortality beyond that predicted lin early by additional years of schooling.
      </description>
      <author>Kippersluis, J.L.W. van</author> <author>O'Donnell, O.A.</author> <author>Doorslaer, E.K.A. van</author>
    </item> <item>
      <title>Socioeconomic Differences in Health over the Life Cycle in an Egalitarian Country (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/14742/</link>
      <pubDate>2009-01-01T00:00:00Z</pubDate>
      <description>
        
        A strong relationship between health and socioeconomic status is firmly established. Yet, partly due to the multidimensional and dynamic nature of the variables, the causal mechanisms connecting them are poorly understood. This paper argues that adoption of a life-cycle perspective is essential to uncover these causal pathways. A life-cycle perspective also allows investigation of whether the socioeconomically disadvantaged, on top of a lower health level, experience a sharper deterioration of their health over the life cycle. We show that in the Netherlands, as in the US, the socioeconomic gradient in health widens until late-middle age and narrows thereafter. The analysis and the available evidence suggests that the widening gradient is attributable both to health-related withdrawal from the labor force, resulting in lower incomes, and the cumulative protective effect of education on health outcomes. The less educated suffer a double health penalty in that they begin adult life with a slightly lower health level, which subsequently declines at a faster rate. The observed narrowing of the gradient in old age is partly an artefact stemming from the fact that only the most healthy of the disadvantaged survive into old age. It also reflects that after middle age, withdrawal from the labor force increasingly occurs for non health-related reasons.
      </description>
      <author>Kippersluis, J.L.W. van</author> <author>O'Donnell, O.A.</author> <author>Doorslaer, E.K.A. van</author> <author>Ourti, T.G.M.  van</author>
    </item> <item>
      <title>Health and Income across the Life Cycle and Generations in Europe (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/10909/</link>
      <pubDate>2008-01-18T00:00:00Z</pubDate>
      <description>
        
        An age-cohort decomposition applied to panel data identifies how the mean, overall inequality and income-related inequality of self-assessed health evolve over the life cycle and differ across generations in 11 EU countries. There is a moderate and steady decline in mean health until the age of 70 or so and a steep acceleration in the rate of health deterioration beyond that age. In southern European countries and in Ireland, which have experienced the greatest changes in economic and social development, the average health of younger generations is significantly better than that of older generations. This is not observed in the northern European countries. In almost all countries, health is more dispersed among older generations indicating that Europe has experienced a reduction in overall health inequality over time. Although there is no consistent evidence that health inequality increases as a given cohort ages, this is true in the three largest countries – Britain, France and Germany. In the former two countries and the Netherlands, at least for males, the income gradient in health peaks around retirement age, as has been found for the US, but this pattern is not observed in the other countries. In most European countries, unlike the US, there is no evidence that income-related health inequality is greater among younger than older generations.
      </description>
      <author>Kippersluis, J.L.W. van</author> <author>Ourti, T.G.M.  van</author> <author>Doorslaer, E.K.A. van</author>
    </item> <item>
      <title>Measurement of Horizontal Inequity in Health Care Utilisation using European Panel Data (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/10453/</link>
      <pubDate>2007-08-02T00:00:00Z</pubDate>
      <description>
        
        Measurement of inequity in health care delivery has focused on the extent to which health care utilization is or is not distributed according to need, irrespective of income. Studies using cross-sectional data have proposed various ways of measuring and standardizing for need, but inevitably much of the inter-individual variation in needs remains unobserved in cross-sections. This paper exploits panel data methods to improve the measurement by including the time-invariant part of unobserved heterogeneity into the need-standardization procedure. Using latent class hurdle models for GP and specialist visits estimated on 8 annual waves of the European Community Household Panel we compute indices of horizontal equity that partition total income-related variation in use into a need- and a non-need related part, not only for the observed but also for the unobserved but time-invariant component. We also propose and compare a more conservative index of horizontal inequity to the conventional statistic. We find that many of the cross-country comparative results appear fairly robust to the panel data test, although the panel based methods lead to higher estimates of horizontal inequity for most countries. This confirms that better estimation and control for need often reveals more pro-rich distributions of utilization.
      </description>
      <author>Bago d'Uva, T.</author> <author>Jones, A.M.</author> <author>Doorslaer, E.K.A. van</author>
    </item> <item>
      <title>The Effect of Growth and Inequality in Incomes on Health Inequality: Theory and Empirical Evidence from the European Panel (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/8342/</link>
      <pubDate>2006-12-12T00:00:00Z</pubDate>
      <description>
        
        Europe aims at combining income growth with improvements in social cohesion as measured 
by income and health inequalities. We show that, theoretically, both aims can be reconciled 
only under very specific conditions concerning the type of growth and the income 
responsiveness of health. We investigate whether these conditions held in Europe in the 
nineties using panel data from the European Community Household Panel surveys. We use 
pooled interval regressions and inequality decompositions to demonstrate that (i) in all 
countries except Austria, the income elasticity of health is positive and increases with income, 
and (ii) that income growth was not pro-rich in most EU countries, resulting in little or no 
reductions in income inequality and modest increases in income-related health inequality in 
the majority of countries.
      </description>
      <author>Ourti, T.G.M.  van</author> <author>Doorslaer, E.K.A. van</author> <author>Koolman, A.H.E.</author>
    </item> <item>
      <title>Does Reporting Heterogeneity Bias The Measurement of Health Disparities? (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/7652/</link>
      <pubDate>2006-03-28T00:00:00Z</pubDate>
      <description>
        
        Heterogeneity in reporting of health by socio-economic and demographic characteristics potentially biases the measurement of health disparities. We use anchoring vignettes to identify reporting heterogeneity in self reports on health for Indonesia, India and China. Correcting for reporting heterogeneity tends to reduce estimated disparities in health by age, sex (not Indonesia), urban/rural and education (not China) and to increase income disparities in health. Overall, while homogeneous reporting by socio-demographic group is significantly rejected, the results suggest that the size of the reporting bias in measures of health disparities is not large.
      </description>
      <author>Doorslaer, E.K.A. van</author> <author>Lindeboom, M.</author> <author>O'Donnell, O.A.</author> <author>Chatterji, S.</author> <author>Bago d'Uva, T.</author>
    </item> <item>
      <title>Cut-point shift and index shift in self-reported health (Article)</title>
      <link>http://repub.eur.nl/res/pub/11352/</link>
      <pubDate>2004-11-01T00:00:00Z</pubDate>
      <description>
        
        There is some concern that ordered responses on health questions may differ across populations or even across subgroups of a population. This reporting heterogeneity may invalidate group comparisons and measures of health inequality. This paper proposes a test for differential reporting in ordered response models which enables to distinguish between cut-point shift and index shift. The method is illustrated using Canadian National Population Health Survey data. The McMaster Health Utility Index Mark 3 (HUI3) is used as a more objective health measure than the simple five-point scale of self-assessed health. We find clear evidence of index shifting and cut-point shifting for age and gender, but not for income, education or language.
      </description>
      <author>Lindeboom, M.</author> <author>Doorslaer, E.K.A. van</author>
    </item> <item>
      <title>Inequalities in self-reported health: validation of a new approach to measurement (Article)</title>
      <link>http://repub.eur.nl/res/pub/11364/</link>
      <pubDate>2003-01-01T00:00:00Z</pubDate>
      <description>
        
        This paper assesses the internal validity of using the McMaster ‘Health Utility Index Mark III’ (HUI) to scale the responses on the typical self-assessed health (SAH) question, “how do you rate your health status in general?” It compares alternative procedures to impose cardinality on the ordinal responses. These include OLS, ordered probit and interval regression approaches. The cardinal measures of health are used to compute and to decompose concentration indices for income-related inequality in health. These results are validated by comparison with the individual variation in the ‘benchmark’ HUI responses obtained from the Canadian ‘National Population Health Survey 1994–1995’. The interval regression approach, which exploits a mapping from the empirical distribution function (EDF) of HUI into SAH, outperforms the other approaches. In addition, we show how the method can be extended to allow for differences in SAH thresholds across different groups of people and to measuring and decomposing ‘pure’ health inequality.
      </description>
      <author>Doorslaer, E.K.A. van</author> <author>Jones, A.M.</author>
    </item> <item>
      <title>Income-related inequalities in health: some international comparisons (Article)</title>
      <link>http://repub.eur.nl/res/pub/11021/</link>
      <pubDate>1997-02-01T00:00:00Z</pubDate>
      <description>
        
        This paper presents evidence on income-related inequalities in self-assessed health in nine industrialized countries. Health interview survey data were used to construct concentration curves of self-assessed health, measured as a latent variable. Inequalities in health favoured the higher income groups and were statistically significant in all countries. Inequalities were particularly high in the United States and the United Kingdom. Amongst other European countries, Sweden, Finland and the former East Germany had the lowest inequality. Across countries, a strong association was found between inequalities in health and inequalities in income.
      </description>
      <author>Doorslaer, E.K.A. van</author> <author>Wagstaff, A.</author> <author>Bleichrodt, H.</author>
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