Labour Market Modelling within a DSGE Approach

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F13%3A00069276" target="_blank" >RIV/00216224:14560/13:00069276 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Labour Market Modelling within a DSGE Approach

Popis výsledku v původním jazyce

The goal of this paper is to contribute to the understanding of the dynamics of main labour-market variables and their relevance for macroeconomic modelling and forecasting in a period of recession. We consider two ways of incorporating labour market into the New Keynesian DSGE framework. The firs one is rather straightforward and it is based on Jakab and Konya (2009). The second one is more sophisticated and it is based on Christiano et al. (2011). In both cases we extend the DSGE framework with searchand matching frictions. Due to the early stage of our research we mainly focus on the literature review in this paper but we also provide some preliminary empirical results. In-sample forecasts generated on calibrated models are employed to evaluate their predictive power.

Název v anglickém jazyce

Labour Market Modelling within a DSGE Approach

Popis výsledku anglicky

The goal of this paper is to contribute to the understanding of the dynamics of main labour-market variables and their relevance for macroeconomic modelling and forecasting in a period of recession. We consider two ways of incorporating labour market into the New Keynesian DSGE framework. The firs one is rather straightforward and it is based on Jakab and Konya (2009). The second one is more sophisticated and it is based on Christiano et al. (2011). In both cases we extend the DSGE framework with searchand matching frictions. Due to the early stage of our research we mainly focus on the literature review in this paper but we also provide some preliminary empirical results. In-sample forecasts generated on calibrated models are employed to evaluate their predictive power.

Druh

D - Stať ve sborníku

CEP obor

AH - Ekonomie

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 31st International Conference Mathematical Methods in Economics

ISBN

9788087035764

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

956-961

Název nakladatele

College of Polytechnics Jihlava

Místo vydání

Jihlava

Místo konání akce

Jihlava

Datum konání akce

1. 1. 2013

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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