prikaz prve stranice dokumenta Predicting gross wages of non-employed persons in Croatia
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Scientific paper - Original scientific paper
Predicting gross wages of non-employed persons in Croatia
Financial theory and practice, 40 (2016), 1; 1-61. https://doi.org/10.3326/fintp.40.1.1
Bezeredi, Slavko; Urban, Ivica

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Bezeredi, S. & Urban, I. (2016). Predicting gross wages of non-employed persons in Croatia. Financial theory and practice, 40. (1), 1-61. doi: 10.3326/fintp.40.1.1

Bezeredi, Slavko and Ivica Urban. "Predicting gross wages of non-employed persons in Croatia." Financial theory and practice, vol. 40, no. 1, 2016, pp. 1-61. https://doi.org/10.3326/fintp.40.1.1

Bezeredi, Slavko and Ivica Urban. "Predicting gross wages of non-employed persons in Croatia." Financial theory and practice 40, no. 1 (2016): 1-61. https://doi.org/10.3326/fintp.40.1.1

Bezeredi, S. and Urban, I. (2016) 'Predicting gross wages of non-employed persons in Croatia', Financial theory and practice, 40(1), pp. 1-61. doi: 10.3326/fintp.40.1.1

Bezeredi S, Urban I. Predicting gross wages of non-employed persons in Croatia. Financial theory and practice [Internet]. 2016 [cited 2024 November 15];40(1):1-61. doi: 10.3326/fintp.40.1.1

S. Bezeredi and I. Urban, "Predicting gross wages of non-employed persons in Croatia", Financial theory and practice, vol. 40, no. 1, pp. 1-61, 2016. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:242:025273. [Accessed: 15 November 2024]

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Metadata
Title (english)Predicting gross wages of non-employed persons in Croatia
AuthorSlavko Bezeredi
Institute of Public Finance, Zagreb, Croatia
AuthorIvica Urban
Institute of Public Finance, Zagreb, Croatia
Author's institutionInstitute of Public Finance
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Abstract (english)
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 (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleFinancial theory and practice
Numberingvol. 40, no. 1, pp. 1-61
p-ISSN1846-887X
e-ISSN1845-9757
DOIhttps://doi.org/10.3326/fintp.40.1.1
URN:NBNurn:nbn:hr:242:025273
Publication2016
Document URLhttps://hrcak.srce.hr/154242
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) icon
Created on2019-05-09 16:26:28