2,932 research outputs found

    Unemployment Benefits and Unemployment Rates of Low-Skilled and Elder Workers in West Germany: A Search Equilibrium Approach

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    Approach Author & abstract Download 16 References 1 Citations Related works & more Corrections Author Listed: Launov, Andrey ([email protected]) (University of Kent) Wolff, Joachim ([email protected]) (Institute for Employment Research (IAB), Nuremberg) Klasen, Stephan ([email protected]) (University of Göttingen) Registered: Stephan Klasen Abstract In this paper we investigate whether the extension of the entitlement to unemployment benefits in the mid 80s can explain the increase in the unemployment rates of unskilled and elder workers in western Germany. To answer this question we estimate a version of the Burdett-Mortensen search equilibrium model and analyze how workers’ search behaviour responded to these reforms. We try both nonparametric and fully-parametric estimation methods and identify the cases in which the nonparametric approach cannot be applied. We find that the entitlement reforms are largely responsible for the increase of unemployment among unskilled workers

    Unemployment Benefits and Unemployment Rates of Low-Skilled and Elder Workers in West Germany: A Search Equilibrium Approach

    No full text
    Approach Author & abstract Download 16 References 1 Citations Related works & more Corrections Author Listed: Launov, Andrey ([email protected]) (University of Kent) Wolff, Joachim ([email protected]) (Institute for Employment Research (IAB), Nuremberg) Klasen, Stephan ([email protected]) (University of Göttingen) Registered: Stephan Klasen Abstract In this paper we investigate whether the extension of the entitlement to unemployment benefits in the mid 80s can explain the increase in the unemployment rates of unskilled and elder workers in western Germany. To answer this question we estimate a version of the Burdett-Mortensen search equilibrium model and analyze how workers’ search behaviour responded to these reforms. We try both nonparametric and fully-parametric estimation methods and identify the cases in which the nonparametric approach cannot be applied. We find that the entitlement reforms are largely responsible for the increase of unemployment among unskilled workers

    Measuring Vulnerability to Poverty Using Long-Term Panel Data

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    Measuring Vulnerability to Poverty Using Long-Term Panel Data Author & abstract Download & other version 16 References 4 Citations Related works & more Corrections Author Listed: Katja Landau (Georg-August-University Göttingen) Stephan Klasen (Georg-August-University Göttingen) Walter Zucchini (Georg-August-University Göttingen) Registered: Stephan Klasen Abstract We investigate the accuracy of ex ante assessments of vulnerability to income poverty using cross-sectional data and panel data. We use long-term panel data from Germany and apply di fferent regression models, based on household covariates and previous-year equivalence income, to classify a household as vulnerable or not. Predictive performance is assessed using the Receiver Operating Characteristics (ROC), which takes account of false positive as well as true positive rates. Estimates based on cross-sectional data are much less accurate than those based on panel data, but for Germany, the accuracy of vulnerability predictions is limited even when panel data are used. In part this low accuracy is due to low poverty incidence and high mobility in and out of poverty

    Measuring Vulnerability to Poverty Using Long-Term Panel Data

    No full text
    Measuring Vulnerability to Poverty Using Long-Term Panel Data Author & abstract Download & other version 16 References 4 Citations Related works & more Corrections Author Listed: Katja Landau (Georg-August-University Göttingen) Stephan Klasen (Georg-August-University Göttingen) Walter Zucchini (Georg-August-University Göttingen) Registered: Stephan Klasen Abstract We investigate the accuracy of ex ante assessments of vulnerability to income poverty using cross-sectional data and panel data. We use long-term panel data from Germany and apply di fferent regression models, based on household covariates and previous-year equivalence income, to classify a household as vulnerable or not. Predictive performance is assessed using the Receiver Operating Characteristics (ROC), which takes account of false positive as well as true positive rates. Estimates based on cross-sectional data are much less accurate than those based on panel data, but for Germany, the accuracy of vulnerability predictions is limited even when panel data are used. In part this low accuracy is due to low poverty incidence and high mobility in and out of poverty

    A Turning Point in Gender Bias in Mortality?

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    More than 10 years ago, Amartya Sen estimated than some 100 million women are 'missing' as a result of excess female mortality in parts of the developing world, most notably South Asia, China, West Asia, and parts of North Africa (Sen, 1989; Sen 1990). Coale (1991) and Klasen (1994) used more precise demographic techniques and arrived at figures that varied between 60 million (Coale) and 90 million (Klasen). All three estimates confirmed the enormous toll excess female mortality was exacting on women in these parts of the world. All these estimates 'missing women' were based on demographic information of the 1980s and early 1990s. Since then, there has been considerable speculation about current trends of gender bias in mortality with some observers suggesting a falling intensity while others predicted the opposite (e.g. Klasen, 1994; Das Gupta and Mari Bath, 1997; Dreze and Sen, 1995; Mayer, 1999; Croll, 2000). Figure 1 shows recent projections by the United Nations Population Division of the sex ratio in the world and in the regions where males outnumber females. These estimates suggest that the sex ratio in the female deficit regions, after rising steadily since 1960, is estimated to peak in about 1985 and then are believed to decline quite sharply. Given the high share these regions have in the world's total population, a turning point in the global sex ratio, after a similar rise since 1960, is also estimated for 1995

    A Turning Point in Gender Bias in Mortality?

    No full text
    More than 10 years ago, Amartya Sen estimated than some 100 million women are 'missing' as a result of excess female mortality in parts of the developing world, most notably South Asia, China, West Asia, and parts of North Africa (Sen, 1989; Sen 1990). Coale (1991) and Klasen (1994) used more precise demographic techniques and arrived at figures that varied between 60 million (Coale) and 90 million (Klasen). All three estimates confirmed the enormous toll excess female mortality was exacting on women in these parts of the world. All these estimates 'missing women' were based on demographic information of the 1980s and early 1990s. Since then, there has been considerable speculation about current trends of gender bias in mortality with some observers suggesting a falling intensity while others predicted the opposite (e.g. Klasen, 1994; Das Gupta and Mari Bath, 1997; Dreze and Sen, 1995; Mayer, 1999; Croll, 2000). Figure 1 shows recent projections by the United Nations Population Division of the sex ratio in the world and in the regions where males outnumber females. These estimates suggest that the sex ratio in the female deficit regions, after rising steadily since 1960, is estimated to peak in about 1985 and then are believed to decline quite sharply. Given the high share these regions have in the world's total population, a turning point in the global sex ratio, after a similar rise since 1960, is also estimated for 1995

    Reforming the Gender-Related Development Index (GDI) and the Gender Empowerment Measure (GEM): Some Specific Proposals

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    In 2005 and 2006, the Human Development Report Office undertook a review of UNDP’s gender-related indicators, particularly the Gender-Related Development Index (GDI) and the Gender Empowerment Measure (GEM). Background papers as well as the results of the process were published in 2006 (e.g. Klasen 2006a), and summarized in the Human Development Report 2006. Here we extend this work by adjusting and extending some of the recommendations made there, by making concrete proposals for the two gender-related indicators and by presenting illustrative results for these proposed measures. The most important proposals include the calculation of a male and female HDI, as well as a gender gap index GGI to replace the GDI, that can be interpreted more directly as a measure of gender inequality. Regarding the GEM, the most important changes are different ways to deal with the earned income component and also to replace it with a more straight-forward procedure to calculate the measure. As shown below, the ranking of countries are very different for the new measures proposed here, compared to the current GDI and GEM

    Reforming the Gender-Related Development Index (GDI) and the Gender Empowerment Measure (GEM): Some Specific Proposals

    No full text
    In 2005 and 2006, the Human Development Report Office undertook a review of UNDP’s gender-related indicators, particularly the Gender-Related Development Index (GDI) and the Gender Empowerment Measure (GEM). Background papers as well as the results of the process were published in 2006 (e.g. Klasen 2006a), and summarized in the Human Development Report 2006. Here we extend this work by adjusting and extending some of the recommendations made there, by making concrete proposals for the two gender-related indicators and by presenting illustrative results for these proposed measures. The most important proposals include the calculation of a male and female HDI, as well as a gender gap index GGI to replace the GDI, that can be interpreted more directly as a measure of gender inequality. Regarding the GEM, the most important changes are different ways to deal with the earned income component and also to replace it with a more straight-forward procedure to calculate the measure. As shown below, the ranking of countries are very different for the new measures proposed here, compared to the current GDI and GEM

    FRAGILITY AND MDG PROGRESS: HOW USEFUL IS THE FRAGILITY CONCEPT?

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    While progress in developing countries as a whole, in terms of growth, poverty reduc-tion, and several MDGs, has been quite good in recent years, fragile states lag behind in levels of MDG achievement. To understand the link between fragility and MDG progress, and also to identify the most effective policy interventions to achieve the MDGs, it is es-sential that fragile states are appropriately defined and classified. While the amount of literature on how to engage with fragile states is rapidly accumulating, only very limited analysis exists that investigates to what extent the levels and trends in the MDGs differ significantly between different definitions of fragile and non-fragile states. The purpose of this paper is to investigate the usefulness of the fragile state concept in tracking the levels and progress of the MDGs. In doing so, this paper applies several definitions of fragility in order to study the MDG progress between 1990 and 2006. It compares aver-age performance in levels and trends of MDG progress between fragile and non-fragile countries and also compares within-group heterogeneity. The paper shows that fragile countries are, indeed, performing worse in terms of MDG levels. In terms of MDG pro-gress, progress is not necessarily slower in fragile states. Only a rather small number of countries suffering from compound disadvantages are doing significantly worse in terms of MDG progress. Lastly, the heterogeneity of MDG performance among fragile states is so large that it is not very useful to treat them as a group; the problems they face, as well as the solutions required, differ greatly and have to be developed and treated sui generis.Fragile States, Millennium Development Goals, Heterogeneity.

    Surviving Unemployment without State Support: Unemployment and Household Formation in South Africa

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    High unemployment in many OECD countries is often attributed, at least in part, to the generosity and long duration of unemployment compensation. It is therefore instructive to examine a country where high unemployment exists despite the near complete absence of an unemployment insurance system. In South Africa unemployment stood at 23% in 1997 and the unemployed have no unemployment insurance nor informal sector activities to fall back on. This paper examines how the unemployed are able to get access to resources without support from unemployment compensation. Analysing a household survey from 1995, we find that the household formation response of the unemployed is the critical way in which they assure access to resources. In particular, unemployment delays the setting up of an individual household of young people, in some cases by decades. It also leads to the dissolution of existing households and a return of constituent members to parents and other relatives and friends. Access to state transfers (in particular, non¡ contributory old age pensions) increases the likelihood of attracting unemployed persons to a household. Some unemployed do not benefit from this safety net, and the presence of unemployed members pulls many households supporting them into poverty. We also show that the household formation responses draw some unemployed away from employment opportunities and thus lowers their employment prospects. The paper discusses the implications of these findings for debates about unemployment and social policy in South Africa and in OECD countries
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