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Does the Use of Worker Flows Improve the Analysis of Establishment Turnover? Evidence from German Administrative Data

TLDR
Evaluated the use of the worker flow methodology using a dataset from Germany, the Establishment History Panel, and provides 3 pieces of evidence that using a classification system based on worker flows is superior to using EIDs only.
Abstract
Economists have long been interested in analyzing entries and exits of establishments. In many countries administrative datasets provide an excellent source for detailed analysis on a fine and disaggregate level. However, administrative datasets are not without problems: restructuring and relabeling of firms is often poorly measured and can potentially create large biases. Information on worker flows between establishments can potentially alleviate these measurement issues, but it is typically hard to judge how well correction algorithms based on this methodology work. This paper evaluates the use of the worker flow methodology using a dataset from Germany, the Establishment History Panel (BHP), merged to information on all worker flows between establishment IDs and survey data. We first document the extent of misclassification that stems from relying solely on the first and last appearance of the establishment identifier (EID) to identify openings and closings. We show that the misclassification bias of using only the EID is very severe: Only about 35 to 40 percent of new and disappearing EIDs with more than 3 employees are likely to correspond to real establishment entries and exits. Among larger establishments misclassification is even more common. We provide 3 pieces of evidence that using a classification system based on worker flows is superior to using EIDs only: First, establishment birth years generated using the worker flow methodology is much higher correlated with establishment birth years from an independent survey. Second, establishment entries and exits which are identified using the worker flow methodology move closely with the business cycle, while events which are identified as simple ID changes are not. Third, establishment exits have a big negative impact on workers' earnings trajectories which is not present for ID changes.

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The Dynamics of Employment Growth: New Evidence from 18 Countries

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How Substitutable Are Workers? Evidence from Worker Deaths

TL;DR: In this paper, the authors analyzed the effects of 34,000 unexpected worker deaths and showed that these worker exits on average raise the remaining workers' wages and retention probabilities for a period of several years.
Posted Content

Establishment History Panel 1975-2018

TL;DR: The establishment history panel (BHP) as mentioned in this paper is composed of cross-sectional datasets since 1975 for West Germany and 1992 for East Germany and contains all the establishments in Germany which are covered by the IAB Employment History (BeH) on June 30th.
Journal ArticleDOI

Job Flows, Worker Flows and Churning in South Africa

TL;DR: In this article, worker and job flows are estimated using anonymised IRP5 tax certificate data from the South African Revenue Service from the 2011-2014 tax years and contains information on more than 12 million individuals and nearly 300,000 firms.
References
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Posted Content

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Plant Turnover and Gross Employment Flows in the U.S. Manufacturing Sector

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The Establishment File of the German Social Insurance Statistics

Michael Fritsch, +1 more
TL;DR: The German Social Insurance Statistics („Statistik der sozialversicherungspflichtig Beschaftigten, SIS) was introduced in West Germany in 1973 and became compulsory from January 1991 on, shortly after unification as discussed by the authors.
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