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@inproceedings{1122508,
author = {Němec, Daniel},
address = {Jihlava},
booktitle = {Proceedings of the 31st International Conference Mathematical Methods in Economics 2013},
editor = {Hana Vojáčková},
keywords = {search and matching model; Bayesian estimation; DSGE model; labour market flexibility; V4 countries},
howpublished = {paměťový nosič},
language = {eng},
location = {Jihlava},
isbn = {978-80-87035-76-4},
pages = {661-666},
publisher = {College of Polytechnics Jihlava},
title = {Evaluating labour market flexibility in V4 countries},
url = {https://www.vspj.cz/soubory/download/id/2259},
year = {2013}
}
TY - JOUR
ID - 1122508
AU - Němec, Daniel
PY - 2013
TI - Evaluating labour market flexibility in V4 countries
PB - College of Polytechnics Jihlava
CY - Jihlava
SN - 9788087035764
KW - search and matching model
KW - Bayesian estimation
KW - DSGE model
KW - labour market flexibility
KW - V4 countries
UR - https://www.vspj.cz/soubory/download/id/2259
L2 - https://www.vspj.cz/soubory/download/id/2259
N2 - This contribution focuses on evaluation of labour market flexibility in the V4 countries. These countries have similar historical destiny but the economic transition led to new labour market institutions. Labour market outcomes are thus quite different in the last decades. Using a small closed DSGE model with search and matching frictions, the main structural labour market differences among these countries are revealed. These differences are related to the changes in separation rates, matching efficiency, match elasticity of unemployed and the bargaining power of the workers. The models are identified using Bayesian techniques. Comparing the moments of simulated data, we can conclude that the estimated models are able to replicate the main statistical properties of the observed data. The labour market in Hungary seems to be the most flexible regarding the labour market dynamics in the light of the nascent economic recovery. On the other hand, all examined economies are similar to the extent of the low wage bargaining power of the workers.
ER -
NĚMEC, Daniel. Evaluating labour market flexibility in V4 countries. In Hana Vojáčková. \textit{Proceedings of the 31st International Conference Mathematical Methods in Economics 2013}. Jihlava: College of Polytechnics Jihlava, 2013, p.~661-666. ISBN~978-80-87035-76-4.
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