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    <title>General Welfare; Basic Needs; Living Standards; Quality of Life; Happiness</title>
    <link>http://repub.eur.nl/res/concept/jel-I31/</link>
    <description>Recent publications classified by JEL Code I31</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>Evidence-based pursuit of happiness: What we should know, what we do know and what we can get to know (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/38275/</link>
      <pubDate>2012-07-11T00:00:00Z</pubDate>
      <description>
        
        ABSTRACT The rational pursuit of happiness requires knowledge of happiness and in particular answers to the following four questions: 1: Is greater happiness realistically possible? 2: If so, to what extent is that in our own hands? 3: How can we get happier? What things should be considered in the choices we make? 4: How does the pursuit of happiness fit with other things we value? Answers to these questions are not only sought by individuals who want to improve their personal life, they are also on the mind of managers concerned about the happiness of members of their organization and of governments aiming to promote greater happiness of a greater number of citizens. All these actors might make more informed choices if they could draw on a sound base of evidence. In this paper I take stock of the available evidence and the answers it holds for the four types of questions asked by the three kinds of actors. To do this, I use a large collection of research findings on happiness gathered in the World Database of Happiness. The data provide good answers to the questions 1 and 2, but fall short on the questions 3 and 4. Priorities for further research are indicated.
      </description>
      <author>Veenhoven, R.</author>
    </item> <item>
      <title>GET MORE, PAY MORE? An elaborate test of construct validity of willingness to pay per QALY estimates obtained through contingent valuation (Article)</title>
      <link>http://repub.eur.nl/res/pub/34722/</link>
      <pubDate>2012-01-01T00:00:00Z</pubDate>
      <description>
        
        Estimates of WTP per QALY can be taken as an indication of the monetary value of health gains, which may carry information regarding the appropriate height of the cost-effectiveness threshold. Given the far-reaching consequences choosing a particular threshold, and thus the potential relevance of WTP per QALY estimates, it is important to address the validity of these estimates. This study addresses this issue. Our findings offer little support to the validity of WTP per QALY estimates obtained in this study. Implications for general WTP per QALY estimates and further research are discussed. 
      </description>
      <author>Bobinac, A.</author> <author>Exel, N.J.A. van</author> <author>Rutten-van Mölken, M.P.M.H.</author> <author>Brouwer, W.B.F.</author>
    </item> <item>
      <title>Does inequality in health impede growth? (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/19426/</link>
      <pubDate>2010-05-01T00:00:00Z</pubDate>
      <description>
        
        This paper investigates the effects of inequality in health on economic growth in low and middle income countries. The empirical part of the paper uses an original cross-national panel data set covering 62 low and middle income countries over the period 1985 to 2007. I find a substantial and relatively robust negative effect of health inequality on income levels and income growth controlling for life expectancy, country and time fixed-effects and a large number of other effects that have been shown to matter for growth. The effect also holds if health inequality is instrumented to circumvent a potential problem of reverse causality. Hence, increasing access to health care for the poor can make a substantial contribution to economic growth not only through its effect on life expectancy but also through its effect on reduced health inequality.
      </description>
      <author>Grimm, M.</author>
    </item> <item>
      <title>What explains the Rural-Urban Gap in Infant Mortality — Household or Community Characteristics? (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/10482/</link>
      <pubDate>2007-08-28T00:00:00Z</pubDate>
      <description>
        
        The rural-urban gap in infant mortality rates is explained using a new decomposition method that permits identification of the ontribution of unobserved heterogeneity at the household and the community level. Using Demographic and Health Survey data for six Francophone countries in Western Sub-Saharan Africa, we find that differences in the distributions of factors that determine mortality – not differences in their effects – explain almost the entire gap. Higher infant mortality rates in rural areas mainly derive from the rural disadvantage in household level characteristics; both observed and unobserved, which explain three-quarters of the gap. Among the observed characteristics, household environmental factors—potable water, electricity and quality of housing materials—are the most important contributors explaining 38% of the gap. Unobserved household level determinants explain 10% of the gap. Community level determinants explain 13% of the gap, including 3% that is due to unobservable community level heterogeneity.
      </description>
      <author>Van de Poel, E.</author> <author>O'Donnell, O.A.</author> <author>Doorslaer, E.K.A. van</author>
    </item> <item>
      <title>Are Urban Children really healthier? (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/9648/</link>
      <pubDate>2007-04-10T00:00:00Z</pubDate>
      <description>
        
        On average, child health outcomes are better in urban than in rural areas of developing countries. Understanding the nature and the causes of this rural-urban disparity is essential in contemplating the health consequences of the rapid urbanization taking place throughout the developing world and in targeting resources appropriately to raise population health. We use micro data on child health taken from the most recent Demographic and Health Surveys for 47 developing countries. First, we document the magnitude of rural-urban disparities in child nutritional status and under-five mortality across all 47 developing countries. Second, we adjust these disparities for differences in population characteristics across urban and rural settings. Third, we examine rural-urban differences in the degree of socioeconomic inequality in these health outcomes. We find considerable rural-urban differences in mean child health outcomes. The rural-urban gap in stunting does not entirely mirror the gap in under-five mortality. The most striking difference between the two is in the Latin American and Caribbean region, where the gap in stunting is more than 1.5 times higher than that in mortality. On average, the rural-urban risk ratios of stunting and under-five mortality fall by respectively 53% and 59% after controlling for household wealth. Controlling thereafter for socio-demographic factors reduces the risk ratios by another 22% and 25%. In a considerable number of countries, the urban poor actually have higher rates of stunting and mortality than their rural counterparts. The findings imply that there is a need for programs that target the urban poor, and that this is becoming more necessary as the size of the urban population grows.
      </description>
      <author>Van de Poel, E.</author> <author>O'Donnell, O.A.</author> <author>Doorslaer, E.K.A. van</author>
    </item> <item>
      <title>Growing Richer and Taller: Explaining Change in the Distribution of Child Nutritional Status during Vietnam’s Economic Boom (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/8346/</link>
      <pubDate>2006-11-27T00:00:00Z</pubDate>
      <description>
        
        Over a five-year period in the 1990s Vietnam experienced annual economic growth of more than 8% and a decrease of 15 points in the proportion of children chronically malnourished (stunted). We estimate the extent to which changes in the distribution of child nutritional status can be explained by changes in the level and distribution of income, and of other covariates. This is done using data from the 1993 and 1998 Vietnam Living Standards Surveys and a flexible decomposition technique that explains change throughout the complete distribution of child height. One-half of the decrease in the proportion of children stunted is explained by changes in the distributions of covariates and 35% is explained by change in the distribution of income. Covariates, including income, explain less of the decrease in very severe malnutrition, which is largely attributable to change in the conditional distribution of child height.
      </description>
      <author>O'Donnell, O.A.</author> <author>Nicolas, A.L.</author> <author>Doorslaer, E.K.A. van</author>
    </item> <item>
      <title>Are living standards converging? (Article)</title>
      <link>http://repub.eur.nl/res/pub/2157/</link>
      <pubDate>2001-07-25T00:00:00Z</pubDate>
      <description>
        
        We re-address the convergence issue that is so prominent in the economic growth literature and present evidence as to what extent there is convergence across measures of living standards, alternative to capita income. The four additional indicators that we use are daily calorie supply, daily protein supply, infant mortality rates, and life expectancy at birth. We present results obtained using three techniques previously considered in growth empirics. These are cross-country regressions, distributional dynamics, and cluster analysis. Our main finding is that convergence in real GDP per capita does not imply convergence in other social indicators. However, the qualitative results for all indicators are the same in the sense that the persistent gap between the rich and poor does not only manifest itself in real GDP per capita but also in living standards.
      </description>
      <author>Franses, Ph.H.B.F.</author> <author>Hobijn, B.</author>
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