Employment Dynamics in the Romanian Labor Market : A Markov Chain Monte Carlo Approach

We use micro data from the Romanian Labor Force Survey to analyze the effect of the restructuring process on the employment dynamics of urban residents in the Romanian labor market. We analyze the way personal characteristics influence individuals' ability to adjust to labor market transformations. Sequential employment decisions made by individuals are modeled as Markov decision processes. The resulting multivariate probit models are estimated using Markov Chain Monte Carlo techniques

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Year of publication:	[2021]
Authors:	Voicu, Alexandru
Publisher:	[S.l.] : SSRN
Subject:	Arbeitsmarkt \| Labour market \| Rumänien \| Romania \| Schätzung \| Estimation \| Arbeitsangebot \| Labour supply \| Erwerbsverlauf \| Occupational attainment \| Systemtransformation \| Economic transition

Extent:	1 Online-Ressource (39 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments February 2002 erstellt
Other identifiers:	10.2139/ssrn.300658 [DOI]
Classification:	C15 - Statistical Simulation Methods; Monte Carlo Methods ; C35 - Discrete Regression and Qualitative Choice Models ; J23 - Employment Determination; Job Creation; Demand for Labor; Self-Employment
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10013320650