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Featured researches published by Daniela Hochfellner.


Archive | 2012

Ältere Migrantinnen und Migranten am Arbeitsmarkt

Carola Burkert; Daniela Hochfellner; Anja Wurdack

Die Arbeitsmarktintegration von Migrantinnen und Migranten ist einer der zentralen Forschungsbereiche moderner Gesellschaftsanalysen (Damelang 2011). Eine dauerhafte und erfolgreiche Integration in die Gesellschaft erfolgt primar durch das Bildungssystem und den Arbeitsmarkt. Die Integration sichert zum einen den Lebensunterhalt und gewahrleistet zum anderen die Partizipation an vielen gesellschaftlichen Aspekten des Lebens, was zusatzlich die Akzeptanz von Mi grantinnen und Migranten in der Aufnahmegesellschaft fordert (Bruck-Klingberg et al. 2009). Unter anderem gelten die Qualifikation und die Erwerbsbeteiligung als Indikatoren fur die Arbeitsmarktintegration. Diesbezuglich unterscheiden sich Menschen mit Migrationshintergrund im Durchschnitt erheblich von der Gesamtbevolkerung (Kalter 2005).


Journal of Empirical Research on Human Research Ethics | 2014

Privacy in Confidential Administrative Micro Data Implementing Statistical Disclosure Control in a Secure Computing Environment

Daniela Hochfellner; Dana Müller; Alexandra Schmucker

The demand for comprehensive and innovative data is constantly growing in social science. In particular, micro data from various social security agencies become more and more attractive. In contrast to survey data, administrative data offer a census with highly reliable information but are restricted in their usage. To make them accessible for researchers, data or research output either have to be anonymized or released after disclosure review procedures have been used. This article discusses the trade-off between maintaining a high capability of research potential while protecting private information, by exploiting the data disclosure portfolio and the adopted disclosure strategies of the Research Data Center of the German Federal Employment Agency.


Journal of Aging & Social Policy | 2017

Employment Trajectories Beyond Retirement

Carola Burkert; Daniela Hochfellner

ABSTRACT Within the political and academic debate on working longer, post-retirement employment is discussed as an alternative to maintain older workers in the labor market. Our article enhances this discussion by studying determinants of transitions into post-retirement jobs within differing work environments of birth cohorts 1940–1942. We estimate proportional subhazard models accounting for competing risks using unique German social security data linked to pension accounts. Our findings suggest that individuals’ preferences to take up post-retirement jobs are not mutually exclusive. Our study provides evidence that taking up post-retirement jobs is related to seeking financial security, continuity, and work ability, suggesting that public policy has to develop target-oriented support through a public policy mix of different measures aligned to the different peer groups in the labor market.


Schmollers Jahrbuch | 2012

Biographical Data of Social Insurance Agencies in Germany – Improving the Content of Administrative Data

Daniela Hochfellner; Dana Müller; Anja Wurdack


Zeitschrift Fur Gerontologie Und Geriatrie | 2012

Berufliche Aktivität im Ruhestand

Daniela Hochfellner; Carola Burkert


Labour Economics | 2014

Do better pre-migration skills accelerate immigrants' wage assimilation?

Boris Hirsch; Elke J. Jahn; Ott Toomet; Daniela Hochfellner


FDZ Datenreport. Documentation on Labour Market Data | 2014

BASiD - Biografiedaten ausgewählter Sozialversicherungsträger in Deutschland

Daniela Hochfellner; Dana Müller; Anja Wurdack


Annual Conference 2014 (Hamburg): Evidence-based Economic Policy | 2014

Do High-Skilled Immigrants find Jobs Faster than Low-Skilled Immigrants?

Rüdiger Wapler; Daniela Hochfellner


Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order | 2013

Does better pre-migration performance accelerate immigrants' wage assimilation?

Boris Hirsch; Elke J. Jahn; Ott Toomet; Daniela Hochfellner


Archive | 2017

Establishing Infrastructure for the Use of Big Data to Understand Total Survey Error: Examples from Four Survey Research Organizations

Brady T. West; Antje Kirchner; Daniela Hochfellner; Stefan Bender; Elizabeth Nichols; Mary H. Mulry; Jennifer Hunter Childs; Anders Holmberg; Christine Bycroft; Grant Benson; Frost Hubbard

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Dana Müller

Institut für Arbeitsmarkt- und Berufsforschung

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Anja Wurdack

Institut für Arbeitsmarkt- und Berufsforschung

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Carola Burkert

Institut für Arbeitsmarkt- und Berufsforschung

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Alexandra Schmucker

Institut für Arbeitsmarkt- und Berufsforschung

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Boris Hirsch

University of Erlangen-Nuremberg

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Elizabeth Nichols

United States Census Bureau

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