Predicting gross wages of non-employed persons in Croatia

Slavko Bezeredi and Ivica Urban

Financial Theory and Practice, 2016, vol. 40, issue 1, 1-61

Abstract: We present the findings of a study aimed at building a model for predicting wages of non-employed persons in Croatia. The predictions will be used in the calculation of marginal effective tax rate at the extensive margin and in labour supply modelling. The database used is 2012 “EU statistics on income and living conditions†. The paper comprehensively explains the data source, variables, subgroups of employed and non-employed, and the results of the linear regression model, the Heckman selection model and the quantile regression model. The quality of predictions obtained by different models is compared and discussed.

Keywords: gross wages; estimation; prediction; unemployed; inactive; Heckman selection model; quantile regressions; Croatia (search for similar items in EconPapers)
JEL-codes: C21 C52 J31 (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://fintp.ijf.hr/upload/files/ftp/2016/1/bezeredi_urban.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ipf:finteo:v:40:y:2016:i:1:p:1-61

Access Statistics for this article

More articles in Financial Theory and Practice from Institute of Public Finance Contact information at EDIRC.
Bibliographic data for series maintained by Martina Fabris ().