References of "Van Kerm, Philippe 50026710"
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See detailSpace-filling location selection
Bia, Michela; Van Kerm, Philippe UL

in Stata Journal (2014), 14(3), 605-622

This note describes a Stata implementation of a space-filling location selection algorithm. It optimally selects a subset from an array of locations so that the spatial coverage of the array by the ... [more ▼]

This note describes a Stata implementation of a space-filling location selection algorithm. It optimally selects a subset from an array of locations so that the spatial coverage of the array by the selected subset is optimized according to a geometric criterion. Such an algorithm is useful in site selection problems, but also in various non-parametric estimation procedures, e.g. to select (multivariate) knot locations in spline regression analysis. [less ▲]

Detailed reference viewed: 42 (3 UL)
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See detailLuxembourg: Has inequality grown enough to matter?
Fusco, Alessio; Van Kerm, Philippe UL; Alieva, Aigul et al

in Nolan, Brian; Salverda, Wiemer; Checchi, Daniele (Eds.) et al Changing Inequalities and Societal Impacts in Rich Countries: Thirty Countries' Experiences (2014)

Luxembourg experienced remarkable economic performance and employment growth since the middle of the 1980s. Based on the development of the financial sector, this growth benefited massively from the ... [more ▼]

Luxembourg experienced remarkable economic performance and employment growth since the middle of the 1980s. Based on the development of the financial sector, this growth benefited massively from the contribution of immigrants and cross-border workers to the labour force. High economic growth led to a rapid improvement in the overall living standard of the resident population. During the same period, income inequality increased too, albeit modestly. Even if the country can still be considered a low inequality country by international standards, this trend is a potential source of concern. This chapter analyses the factors that explain the rise in income inequality between 1985 and 2010 and provides a descriptive account of whether this trend has been correlated with a set of social, cultural, and political outcomes. By and large, the positive impact of the improvement of overall living standards seems to have prevailed over the potential detrimental effects of increasing inequality. [less ▲]

Detailed reference viewed: 77 (3 UL)
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See detailGeneralized measures of wage differentials
van Kerm, Philippe UL

in Empirical Economics (2013), 45(1), 465-482

This paper considers measures of wage differentials not solely determined by mean comparisons but summarizing differences across complete wage distributions. The approach builds on considerations of risk ... [more ▼]

This paper considers measures of wage differentials not solely determined by mean comparisons but summarizing differences across complete wage distributions. The approach builds on considerations of risk or inequality aversion and on standard expected utility concepts. In an application to the gender pay gap in Luxembourg the disadvantage of women persists according to the proposed measures: lower mean wages for women are not compensated by differences in higher moments of wage distributions (e.g., by less dispersion) at least for realistic assumptions about women preferences toward risk and inequality. The paper also illustrates an original empirical model for wage distributions in the presence of covariates and under endogenous labour market participation. [less ▲]

Detailed reference viewed: 69 (0 UL)
See detailThe joint distribution of income and wealth
Jäntti, Markus; Sierminska, Eva M.; Van Kerm, Philippe UL

in Gornick, Janet; Jäntti, Markus (Eds.) Economic Inequality in Cross-National Perspective (2013)

Detailed reference viewed: 61 (2 UL)
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See detailInequality, growth and mobility: The intertemporal distribution of income in European countries 2003--2007
Van Kerm, Philippe UL; Pi Alperin, Maria Noel

in Economic Modelling (2013), 35(C), 931-939

This paper exploits EU Statistics on Income and Living Conditions longitudinal data 2003–2007 to describe the intertemporal distribution of income in twenty-six European countries prior to the onset of ... [more ▼]

This paper exploits EU Statistics on Income and Living Conditions longitudinal data 2003–2007 to describe the intertemporal distribution of income in twenty-six European countries prior to the onset of the Great Recession. We document levels, inequality and progressivity in the distribution of year-on-year income gains and losses and examine the relationship of these with inequality and poverty indicators. New Member States have typically seen individual incomes grow faster than other EU countries. Income gains were disproportionately pro-poor in all countries. We therefore observe regression to the mean both among EU countries and among individuals within countries. However, short-run income mobility does not significantly reduce inequality of time-averaged incomes. Potential issues about cross-country comparability of the data and the short period under consideration call for caution in interpreting our results, however. [less ▲]

Detailed reference viewed: 60 (2 UL)
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See detailKernel-smoothed cumulative distribution function estimation with akdensity
Van Kerm, Philippe UL

in Stata Journal (2012), 12(3), 543-548

In this article, I describe estimation of the kernel-smoothed cumulative distribution function with the user-written package akdensity, with formulas and an example.

Detailed reference viewed: 48 (2 UL)
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See detailIncome inequality and self-reported health status: Evidence from the European Community Household Panel survey
Hildebrand, Vincent A.; Van Kerm, Philippe UL

in Demography (2009), 46(4), 805-825

We examine the effect of income inequality on individualś self-rated health status in a pooled sample of 11 countries, using longitudinal data from the European Community Household Panel survey. Taking ... [more ▼]

We examine the effect of income inequality on individualś self-rated health status in a pooled sample of 11 countries, using longitudinal data from the European Community Household Panel survey. Taking advantage of the longitudinal and cross-national nature of our data, and carefully modeling the self-reported health information, we avoid several of the pitfalls suffered by earlier studies on this topic. We calculate income inequality indices measured at two standard levels of geography (NUTS-0 and NUTS-1) and find consistent evidence that income inequality is negatively related to self-rated health status in the European Union for both men and women, particularly when measured at national level. However, despite its statistical significance, the magnitude of the impact of inequality on health is very small. [less ▲]

Detailed reference viewed: 64 (2 UL)
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See detailThe measurement of economic inequality
Jenkins, Stephen P.; Van Kerm, Philippe UL

in Salverda, Wiemer; Nolan, Brian; Smeeding, Timothy M. (Eds.) Oxford Handbook on Economic Inequality (2009)

This article provides an introduction to methods for the measurement of economic inequality. It reviews the inequality measures that economists have developed, and explains how one might choose between ... [more ▼]

This article provides an introduction to methods for the measurement of economic inequality. It reviews the inequality measures that economists have developed, and explains how one might choose between indices or check whether conclusions about inequality difference can be derived without choosing any specific index. It reviews mobility measurement and some fundamental questions about how the distributions of economic interest are defined. [less ▲]

Detailed reference viewed: 148 (4 UL)
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See detailIncome mobility profiles
Van Kerm, Philippe UL

in Economics Letters (2009), 102(2), 93-95

An `income mobility profile' is a graphical tool to portray income mobility and identify the association between individual movements and initial status which, despite its importance when assessing the ... [more ▼]

An `income mobility profile' is a graphical tool to portray income mobility and identify the association between individual movements and initial status which, despite its importance when assessing the social relevance of mobility, is often discounted by aggregate mobility indices. [less ▲]

Detailed reference viewed: 85 (2 UL)