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Background: Neighborhood characteristics are important determinants of individual health and well-being. For example, characteristics such as noise and pollution affect health directly, while other characteristics affect health and well-being by either providing resources (e.g. social capital in the neighborhood), which individuals can use to cope with health problems, or limiting the use thereof (e.g. ...
In:
Gerontology
62 (2016), 3, 362-370
| Peter Eibich, Christian Krekel, Ilja Demuth, Gert G. Wagner
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Die 2009 implementierte Gesundheitsreform hat die Preistransparenz und somit die Verbraucherfreundlichkeit innerhalb der gesetzlichen Krankenversicherung (GKV) zunächst deutlich erhöht und die Bereitschaft der Versicherten gefördert, auf Preiserhöhungen mit einem Wechsel der Krankenkasse zu reagieren. Denn mit der Einführung des Gesundheitsfonds 2009 wurden alle Beitragssätze vereinheitlicht. Preisunterschiede ...
In:
Wochenbericht des DIW Berlin
78 (2011), 51+52, 3-12
| Peter Eibich, Hendrik Schmitz, Nicolas R. Ziebarth
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The German health care reform implemented in 2009 led to a considerable increase in price transparency within the statutory health insurance (SHI) (Gesetzliche Krankenversicherung, GKV) system and also made it more consumer-friendly which, in turn, has encouraged policy holders to react to price hikes by switching to a different health insurance fund ("sickness fund"). In 2009, the government ...
In:
DIW Economic Bulletin
2 (2012), 2, 15-24
| Peter Eibich, Hendrik Schmitz, Nicolas R. Ziebarth
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This paper exploits rich SOEP microdata to analyze state-level variation in health care utilization in Germany. Unlike most studies in the field of the Small Area Variation (SAV) literature, our approach allows us to net out a large array of individual-level and state-level factors that may contribute to the geographic variation in health care utilization. The raw data suggest that state-level hospitalization ...
In:
Health Policy
114 (2014), 1, 41-53
| Peter Eibich, Nicolas R. Ziebarth
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This paper makes use of Hierarchical Bayes Models to model and estimate spatial health effects. We focus on Germany, combining rich individual-level household panel data with administrative county–level information to estimate spatial county-level health dependencies. As dependent variable, we use the generic, continuous, and quasi-objective SF12 health measure. Our findings reveal strong and highly ...
In:
Regional Science and Urban Economics
49 (2014), Nov. 2014, 305-320
| Peter Eibich, Nicolas R. Ziebarth
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In:
Holger Hinte, Klaus F. Zimmermann ,
Zeitenwende auf dem Arbeitsmarkt - Wie der demografische Wandel die Erwerbsgesellschaft verändert
Bonn: Bundeszentrale für politische Bildung
451-468
| Werner Eichhorst
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Bonn:
Institute of Labor Economics (IZA),
2016,
(IZA Policy Paper No. 117)
| Werner Eichhorst, Holger Hinte, Ulf Rinne, Verena Tobsch
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Bonn:
Institute for the Study of Labor (IZA),
2012,
(IZA Research Report No. 47)
| Werner Eichhorst, Tina Hinz, Paul Marx, Andreas Peichl, Nico Pestel, Sebastian Siegloch, Eric Thode, Verena Tobsch
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Bonn:
Institute for the Study of Labor (IZA),
2006,
(IZA DP No. 2215)
| Werner Eichhorst, Lutz C. Kaiser
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Despite a more recent debate about ever deeper segmentation, the authors argue that since industrialization, Germany has continually experienced a dual labor market. One segment contains the primary segment of better paid and more attractive jobs, while the secondary segment encompasses rather low paid, less stable and less attractive jobs. Dualization is the result of firms which are likely to hire ...
In:
Journal for Labour Market Research
49 (2016), 4, 297-315
| Werner Eichhorst, Michael J. Kendzia