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https://doi.org/10.3326/fintp.40.1.1

Predicting gross wages of non-employed persons in Croatia

Slavko Bezeredi   ORCID icon orcid.org/0000-0002-9653-0289 ; Institute of Public Finance, Zagreb, Croatia
Ivica Urban   ORCID icon orcid.org/0000-0001-6734-2791 ; Institute of Public Finance, Zagreb, Croatia

Puni tekst: engleski, pdf (1 MB) str. 1-61 preuzimanja: 470* citiraj
APA 6th Edition
Bezeredi, S. i Urban, I. (2016). Predicting gross wages of non-employed persons in Croatia. Financial theory and practice, 40 (1), 1-61. https://doi.org/10.3326/fintp.40.1.1
MLA 8th Edition
Bezeredi, Slavko i Ivica Urban. "Predicting gross wages of non-employed persons in Croatia." Financial theory and practice, vol. 40, br. 1, 2016, str. 1-61. https://doi.org/10.3326/fintp.40.1.1. Citirano 17.05.2021.
Chicago 17th Edition
Bezeredi, Slavko i Ivica Urban. "Predicting gross wages of non-employed persons in Croatia." Financial theory and practice 40, br. 1 (2016): 1-61. https://doi.org/10.3326/fintp.40.1.1
Harvard
Bezeredi, S., i Urban, I. (2016). 'Predicting gross wages of non-employed persons in Croatia', Financial theory and practice, 40(1), str. 1-61. https://doi.org/10.3326/fintp.40.1.1
Vancouver
Bezeredi S, Urban I. Predicting gross wages of non-employed persons in Croatia. Financial theory and practice [Internet]. 2016 [pristupljeno 17.05.2021.];40(1):1-61. https://doi.org/10.3326/fintp.40.1.1
IEEE
S. Bezeredi i I. Urban, "Predicting gross wages of non-employed persons in Croatia", Financial theory and practice, vol.40, br. 1, str. 1-61, 2016. [Online]. https://doi.org/10.3326/fintp.40.1.1

Sažetak
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.

Ključne riječi
gross wages; estimation; prediction; unemployed; inactive; Heckman selection model; quantile regressions; Croatia

Hrčak ID: 154242

URI
https://hrcak.srce.hr/154242

Posjeta: 713 *