2011
Habit Formation, Price Indexation and Wage Indexation in the DSGE Model: Specification, Estimation and Model Fit
SLANICAY, Martin and Osvald VAŠÍČEKBasic information
Original name
Habit Formation, Price Indexation and Wage Indexation in the DSGE Model: Specification, Estimation and Model Fit
Authors
SLANICAY, Martin (203 Czech Republic, guarantor, belonging to the institution) and Osvald VAŠÍČEK (203 Czech Republic)
Edition
Národohospodářský obzor – Review of Economic Perspectives, Brno, Masaryk University, 2011, 1213-2446
Other information
Language
English
Type of outcome
Article in a journal
Field of Study
50200 5.2 Economics and Business
Country of publisher
Czech Republic
Confidentiality degree
is not subject to a state or trade secret
References:
RIV identification code
RIV/00216224:14560/11:00052649
Organization unit
Faculty of Economics and Administration
Keywords in English
New Keynesian DSGE model; habit formation; price indexation; wage indexation; model comparison; Bayes factor
Tags
International impact, Reviewed
Changed: 13/7/2011 12:48, Mgr. Martin Slanicay, Ph.D.
Abstract
In the original language
In order to determine which specification provides better fit of the data, this paper presents several specifications of a closed economy DSGE model with nominal rigidities. The goal of this paper is to find out whether some characteristics widely used in New Keynesian DSGE models, such as habit formation in consumption, price indexation and wage indexation, provide better fit of the macroeconomic data. Model specifications are estimated on the data of the US economy and Euro Area 12 economy, using Bayesian techniques, particularly the Metropolis Hastings algorithm. The data fit measure is a Bayes factor calculated from marginal likelihoods. Results suggest that including habit formation in consumption significantly improves the empirical data fit of the model, whereas including partial price indexation and partial wage indexation does not improve the empirical data fit of the model. Variants with full price indexation and full wage indexation were the worst ones concerning their data fit.
Links
1M0524, research and development project |
|