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  • Revisiting the complementarity between education and training – the role of job tasks and firm effects

    This paper addresses the question to what extent the strong positive correlation between education and training can be attributed to differences in individual-, job- and firm-specific characteristics. The novelty of this paper is to analyze previously unconsidered characteristics, in particular, job tasks and firm-fixed effects. The results show that once job tasks are controlled for, the difference ...

    In: Education Economics 24 (2016), 3, 261-279 | Katja Görlitz, Marcus Tamm
  • Cross-National Data Center in Luxembourg, LIS

    In: Brian Kleiner, Isabelle Renschler, Boris Wernli, Peter Farago, Dominique Joye , Understanding Research Infrastructures in the Social Sciences
    Zurich: Seismo Press
    89-99
    | Janet C. Gornick
  • Child Poverty in Upper-Income Countries: Lessons from the Luxembourg Income Study

    Luxembourg: Luxembourg Income Study (LIS), 2009,
    (Luxembourg Income Study Working Paper No. 509)
    | Janet C. Gornick, Markus Jäntti
  • Women, Poverty, and Social Policy Regimes: A Cross-National Analysis

    This paper assesses women’s poverty in 26 diverse LIS countries – five Anglophone countries, six Continental European countries, four Nordic countries, two Eastern European countries, three Southern European countries, and six Latin American countries. Our analyses are organized around four questions: (1) What is the probability that prime-age women, compared to their male counterparts, live in poor ...

    Luxembourg: Luxembourg Income Study (LIS), 2010,
    (Luxembourg Income Study Working Paper No. 534)
    | Janet C. Gornick, Markus Jäntti
  • Introduction

    In: Janet C. Gornick, Markus Jäntti , Income Inequality: Economic Disparities and the Middle Class in Affluent Countries
    Stanford: Stanford University Press
    1-47
    | Janet C. Gornick, Markus Jäntti
  • The Income and Wealth Packages of Older Women in Cross-National Perspective

    Objectives. We assess the income and wealth packages of older women’s (age 65+ years) households and the extent to which low income is paired with low wealth, across a group of six high-income countries. Methods. We use data on income and net worth from the Luxembourg Wealth Study, a new cross-national microdatabase. We define income poverty as having household income less than 50% of the national ...

    In: Journals of Gerontology, Series B - Social Sciences 64B (2009), 3, 402-414 | Janet C. Gornick, Eva M. Sierminska, Timothy M. Smeeding
  • Deindustrialisation and the polarisation of household incomes: The example of urban agglomerations in Germany

    The tertiarisation, or perhaps more accurately, the deindustrialisation of the economy has left deep scars on cities. It is evident not only in the industrial wastelands and empty factory buildings, but also in the income and social structures of cities. Industrialisation, collective wage setting, and the welfare state led to a stark reduction in income differences over the course of the 20th century. ...

    In: Urban Studies 55 (2018), 4, 790-806 | Martin Gornig, Jan Goebel
  • Changes in Earnings Inequality - An International Perpective

    Luxemburg: Luxembourg Income Study (LIS), 1991,
    (Luxembourg Income Study Working Paper No. 66)
    | Peter Gottschalk, Mary Joyce
  • Cross-National Comparisons of Earnings and Income Inequality

    In: Journal of Economic Literature (JEL) 35 (1997), 2, 633-687 | Peter Gottschalk, Timothy M. Smeeding
  • Empirical Evidence on Income Inequality in Industrialized Countries

    This chapter reviews the evidence on cross-national comparisons of annual disposable income inequality in over 20 wealthy nations. We begin by reviewing a number of conceptual and measurement issues which must be addressed by any cross-national comparison of survey-based household income data. With these caveats in mind, we present data on both the level of inequality during the early to mid-1990s, ...

    In: Anthony B. Atkinson, Francois Bourguignon , Handbook of Income Distribution: Volume 1
    Amsterdam: Elsevier Science
    261-307
    | Peter Gottschalk, Timothy M. Smeeding
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