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This study analyzes the effects of right-wing extremism on the well-being of immigrants based on data from the German Socio-Economic Panel (SOEP) for the years 1984 to 2006 merged with state-level information on election outcomes. The results show that the life satisfaction of immigrants is significantly reduced if right-wing extremism in the native population increases. Moreover, the life satisfaction ...
In:
KYKLOS
66 (2009), 4, 567-590
| Andreas Knabe, Steffen Rätzel, Stephan L. Thomsen
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This paper analyzes the impact of a statutory minimum wage on employment, wage inequality, public expenditures, and aggregate income in the low-wage sector for two scenarios: a competitive labor market and a monopsonistic labor market. Using data from the 2006 wave of the German Socio-Economic Panel (GSOEP), we show that irrespective of which scenario adequately describes the labor market, a statutory ...
In:
FinanzArchiv
65 (2010), 4, 403-441
| Andreas Knabe, Ronnie Schöb
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This paper analyses the role of job changes in overcoming work hour mismatches (i.e., differences between actual and desired work hours). It addresses two, yet neglected, questions: (1) How do adjustments in desired work hours, additionally to adjustments in actual work hours, contribute to the resolution of these mismatches? and (2) Does the well‐documented increased work hour flexibility of job movers ...
In:
Economic Inquiry
57 (2019), 1, 227-242
| Michael C. Knaus, Steffen Otterbach
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Berlin:
Wissenschaftszentrum Berlin (WZB),
2002,
(Discussion Paper FS IV 02 - 27)
| Thomas Knaus, Robert Nuscheler
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We outline a formal procedure for deriving the aggregate wage-elasticity of labor supply for a large group of heterogeneous workers who operate under uncertainty. Heterogeneity relates to preferences, income, wealth, and the labor market status. If each worker faces a small, possibly nonuniform wage change, the implied aggregate wage-elasticity can be represented by a closed-form expression. This expression ...
In:
Journal of the European Economic Association
18 (2020), 5, 2315-235
| Alois Kneip, Monika Merz, Lidia Storjohann
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This research examines the strength of people’s ties with close neighbours and the sensitivity thereof to changes in residential mobility, access to modes of public and private transport, and changes in the availability of modern communications technologies using the German Socio-economic Panel Study (SOEP). All forms of mobility have increased over time and are negatively associated with visiting ...
Berlin:
DIW Berlin,
2009,
(SOEPpapers 175)
| Gundi Knies
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This paper draws on the German Socio-economic Panel Study (SOEP) to investigate whether changes in others' income are perceived differently in post-transition and capitalist societies. We find that the neighbourhood income effect for West Germany is negative and slightly more marked in neighbourhoods where the neighbours interact socially. In contrast, the coefficients on neighbourhood income ...
In:
Social Indicators Research
106 (2010), 3, 471-489
| Gundi Knies
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Following up on the prediction by classical sociological theorists that neighbours will become irrelevant as societies become more mobile, this research examines the strength of people’s social ties with neighbours and the associations thereof with residential, physical and virtual mobility using longitudinal data for Germany. Unlike previous studies, the research considers the three forms of mobility ...
In:
British Journal of Sociology
64 (2013), 3, 425-452
| Gundi Knies
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We test empirically whether people’s life satisfaction depends on their relative income position in the neighbourhood, drawing on a unique dataset, the German Socioeconomic Panel Study (SOEP) matched with micro-marketing indicators of population characteristics. Relative deprivation theory suggests that individuals are happier the better their relative income position in the neighbourhood is. To test ...
In:
Schmollers Jahrbuch
128 (2008), 1, 75-108
| Gundi Knies, Simon Burgess, Carol Propper
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Berlin:
German Institute for Economic Research (DIW Berlin),
2007,
(DIW Berlin Data Documentation 17)
| Gundi Knies, C. Katharina Spieß