Spatial Pseudo Panel Data Models with an Application to Mincer Wage Equations

• Autorzy: Selahattin Güriş , Gizem Kaya Aydın
• Języki publikacji: EN

Abstrakty

EN

The studies using Mincer equations are generally applied to cross-sectional data at the micro-level. There are however limited studies conducted with macro or panel data for wage equations. Pseudo panel data methods can be applied to empirical studies by creating cohorts from repeated cross-sectional data in the absence of genuine panel data. Difference in both the human and labour resources according to the spatial positions may also affect the prediction of the wage equations. We aim to introduce the application of spatial pseudo panel models by creating cohorts according to the birth years of employees and regions in which they live from the Turkish household labour survey for the period 2010-2015. As a result, we find that the spatial autocorrelation model is appropriate for wage equations of Turkey. We also find that return of education on wages is 11% while return of experience on wages is 4%. (original abstract)

Słowa kluczowe

EN

Spatial econometrics; Panel data; Mincer equation

PL

Ekonometria przestrzenna; Dane panelowe; Równanie Mincera

• Czasopismo: Central European Journal of Economic Modelling and Econometrics (CEJEME)
• Rocznik: 2022
• Tom: 14
• Numer: nr 1
• Strony: 37--56

Twórcy

autor

Selahattin Güriş

• Marmara University, Department of Econometrics, Istanbul, Turkey

autor

Gizem Kaya Aydın

• Istanbul Technical University, Department of Management Engineering, Istanbul, Turkey

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Identyfikatory

DOI

10.24425/cejeme.2022.140511