prikaz prve stranice dokumenta Predicting gross wages of non-employed persons in Croatia
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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. i 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 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

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

Bezeredi, S. i Urban, I. (2016) 'Predicting gross wages of non-employed persons in Croatia', Financial theory and practice, 40(1), str. 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. [pristupljeno 05.12.2024.];40(1):1-61. doi: 10.3326/fintp.40.1.1

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]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:242:025273. [Citirano: 05.12.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:242:025273
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Podaci o radu
Naslov (engleski)Predicting gross wages of non-employed persons in Croatia
AutorSlavko Bezeredi
Institute of Public Finance, Zagreb, Croatia
AutorIvica Urban
Institute of Public Finance, Zagreb, Croatia
Autorova ustanovaInstitut za javne financije
Znanstveno / umjetničko
područje, polje i grana		DRUŠTVENE ZNANOSTI
Ekonomija
Sažetak (engleski)
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 (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaFinancial theory and practice
Brojčani podacivol. 40, br. 1, str. 1-61
p-ISSN1846-887X
e-ISSN1845-9757
DOIhttps://doi.org/10.3326/fintp.40.1.1
URN:NBNurn:nbn:hr:242:025273
Datum objave publikacije2016
URL dokumentahttps://hrcak.srce.hr/154242
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje-Nekomercijalno 4.0 međunarodna (CC BY-NC 4.0)
Datum i vrijeme pohrane2019-05-09 16:26:28