Investigating the Impact of a Labour Market Segmentation Using a Small DSGE Model with Search and Matching Frictions

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F17%3A00097646" target="_blank" >RIV/00216224:14560/17:00097646 - isvavai.cz</a>
Result on the web
<a href="http://fim2.uhk.cz/mme/conferenceproceedings/mme2017_conference_proceedings.pdf" target="_blank" >http://fim2.uhk.cz/mme/conferenceproceedings/mme2017_conference_proceedings.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Investigating the Impact of a Labour Market Segmentation Using a Small DSGE Model with Search and Matching Frictions
Original language description
In this contribution, I present a small scale DSGE model of a closed economy with labour market segmentation, search and matching frictions, and right-to-manage bargaining. Constructed model stems from the well-known work of Lubik, however, was redesigned in order to account for different wage setting processes for different groups of workers. I introduce the model with two groups of individuals distinguished, according to the level of their qualification, to low-skilled and high-skilled. The aim of this contribution is to examine possibly dissimilar impacts of exogenous shocks to an economy where workers exhibit different levels of qualification. In this sense, I firstly introduce the model with labour market segmentation that splits the aggregate labour market between the following two sectors: one populated by workers with high level of qualification and the other with less qualified workers. This model is then calibrated to fit the characteristics of the US economy, and its dynamic properties are compared with the Lubik’s original model.
Czech name
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Czech description
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Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
The 35th International Conference Mathematical Methods in Economics, Conference Proceedings
ISBN
9788074356780
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
259-264
Publisher name
University of Hradec Králové
Place of publication
Hradec Králové
Event location
Hradec Králové
Event date
Sep 13, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000427151400045

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