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Titel
Estimating labor force joiners and leavers using a heterogeneity augmented two-tier stochastic frontier / Tirthatanmoy Das (University of Central Florida and IZA), Solomon W. Polachek (State University of New York at Binghamton and IZA) ; IZA, Institute of Labor Economics
VerfasserDas, Tirthatanmoy In der Gemeinsamen Normdatei der DNB nachschlagen ; Polachek, Solomon W. In der Gemeinsamen Normdatei der DNB nachschlagen
KörperschaftForschungsinstitut zur Zukunft der Arbeit In der Gemeinsamen Normdatei der DNB nachschlagen
ErschienenBonn, Germany : IZA Institute of Labor Economics, January 2017
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Elektronische Ressource
Umfang1 Online-Ressource (43 Seiten) : Diagramme
SerieDiscussion paper ; no. 10534
URNurn:nbn:de:hbz:5:2-110831 Persistent Identifier (URN)
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Estimating labor force joiners and leavers using a heterogeneity augmented two-tier stochastic frontier [0.95 mb]
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Zusammenfassung

We derive a non-standard unit root serial correlation formulation for intertemporal adjustments in the labor force participation rate. This leads to a tractable three-error component model, which in contrast to other models embeds heterogeneity into the error structure. Unlike in the typical iid three-error component two-tier stochastic frontier model, our equations error components are independent but not identically distributed. This leads to a complex nonlinear likelihood function requiring identification through a two-step estimation procedure, which we estimate using Current Population Survey (CPS) data. By transforming the basic equation linking labor force participation to the working age population, this paper devises a new method which can be used to identify labor market joiners and leavers. The methods advantage is its parsimonious data requirements, especially alleviating the need for survey based longitudinal data.