The IAB Establishment Panel – Things Users Should Know

We investigate with German data how the use of temporary agency work has helped establishments to manage the economic and financial crisis in 2008/09. We examine the (regular) workforce development, use of short-time work, and business performance of establishments that made differential use of temporary agency work prior to the crisis. Overall, our results suggest that establishments with a greater use of temporary agency work coped better with the sharp decline in demand and made less frequent use of government-sponsored short-time work schemes.JEL classification: E32, J23, L23, J68

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“…See http://fdz.iab.de/en.aspx for further information. Kölling (2000) and Fischer et al (2009) provide detailed descriptions of the data set.…”

Section: Industry-level Data and The Measure Of Crisis Exposurementioning

confidence: 99%

Temporary agency work and the Great Recession

Baumgarten

Kvasnicka

2017

Journal of Economic Behavior & Organization

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“…These weighting factors are computed in a manner that allows inference to the population. Projections are valid in the two dimensions of the stratification matrix: industries and classes of plant size (Fischer et al 2009). Luckily the five industries without total sales accord with the industries in the stratification matrix.…”

Section: A3 the Ackerberg Et Al (2006) Proceduresmentioning

confidence: 99%

Agglomeration economies with consistent productivity estimates

Ehrl

2013

Regional Science and Urban Economics

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract This paper investigates the relative impact of microeconomic agglomeration mechanisms on plant's total factor productivity (TFP) using German establishment and employment level data. Contrasting different strategies to estimate TFP from plant level production functions reveals that not accounting for the endogeneity of input choices and not separating price effects from true productivity leads to underestimated agglomeration economies. Under the preferred TFP measure, labor market pooling, captured by the correlation of the occupational composition between one county-industry and the rest of the county, is found to have the largest impact. Besides, two knowledge spillover mechanisms, transmitted via job changes and public R&D funding, positively affect plant productivity. Except for job changes the result is even robust when the spatial units are broadened from counties to labor market regions. Testing for urbanization and localization economies, I find that TFP is higher in more specialized and larger counties, whereas sectoral diversity is of no importance at the county level. JEL-Classification: D24, R11, R30 Terms of use: Documents in

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“…It includes establishments with at least one employee covered by social security and contains business-related facts (e.g., management, business policy, innovations), a large number of employment policy-related subjects (e.g., personnel structure, recruitment, wages and salaries) and a range of background information (e.g., regional information, industrial sector). For further information see Fischer et al (2009) and Kölling (2000). The IAB collects the data under the pledge of confidentiality.…”

Section: The Datamentioning

confidence: 99%

Disclosure Risk from Factor Scores

Drechsler¹,

Ronning²,

Bleninger³

2014

Journal of Official Statistics

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Remote access can be a powerful tool for providing data access for external researchers. Since the microdata never leave the secure environment of the data-providing agency, alterations of the microdata can be kept to a minimum. Nevertheless, remote access is not free from risk. Many statistical analyses that do not seem to provide disclosive information at first sight can be used by sophisticated intruders to reveal sensitive information. For this reason the list of allowed queries is usually restricted in a remote setting. However, it is not always easy to identify problematic queries. We therefore strongly support the argument that has been made by other authors: that all queries should be monitored carefully and that any microlevel information should always be withheld. As an illustrative example, we use factor score analysis, for which the output of interest -the factor loading of the variables -seems to be unproblematic. However, as we show in the article, the individual factor scores that are usually returned as part of the output can be used to reveal sensitive information. Our empirical evaluations based on a German establishment survey emphasize that this risk is far from a purely theoretical problem.

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The IAB Establishment Panel – Things Users Should Know

Cited by 189 publications

References 4 publications

Temporary agency work and the Great Recession

Temporary agency work and the Great Recession

Agglomeration economies with consistent productivity estimates

Disclosure Risk from Factor Scores

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