Search results for "Wage regression"

showing 3 items of 3 documents

Economic Returns to Education in France: OLS and Instrumental Variable Estimations

2013

En ligne sur : http://121.52.153.179/JOURNAL/LJE%20VOL%2018-2/Bhatti,%20Bourdon%20and%20Aslam.pdf; International audience; This article estimates the economic returns to schooling as well as analyzing other explanatory factors for the French labor market. It addresses the issue of endogeneity bias and proposes two new instruments for use in the instrumental variable two-stage least squares technique. Our results show that the proposed instruments are relevant and adequate, based on evidence from the available literature. After using the proposed instruments, we find that the OLS coefficients for schooling are biased downwards. Finally, we choose between the two proposed instruments.

[SHS.EDU]Humanities and Social Sciences/Education[SHS.EDU] Humanities and Social Sciences/EducationTwo-stage least squaresLeast squaresjel:P5Équation de Mincerjel:I20502 economics and businessStatisticsWage regressionEconomicsEconometricsjel:C1[ SHS.ECO ] Humanities and Social Sciences/Economies and financesEndogeneity050207 economics[SHS.ECO] Humanities and Social Sciences/Economics and FinanceEndogeneity biasRégression05 social sciencesInstrumental variableEconomic return050301 educationEndogeneity bias instrumental variable Mincerian model two-stage least squares wage regression France.[ SHS.EDU ] Humanities and Social Sciences/EducationSalaire[SHS.ECO]Humanities and Social Sciences/Economics and FinanceMincerian modelInstrumental variableVariable instrumentalejel:J38. Economic growthModèle mincérienFranceModèle des moindres carrés0503 educationBiais d'endogénéité
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Estimation de la relation de salaires de Mincer : choix de specification et enjeux économétriques

2012

In the present doctoral thesis, we estimated Mincer’s (1974) semi logarithmic wage function for the French and Pakistani labour force data. This model is considered as a standard tool in order to estimate the relationship between earnings/wages and different contributory factors. Despite of its vide and extensive use, simple estimation of the Mincerian model is biased because of different econometric problems. The main sources of bias noted in the literature are endogeneity of schooling, measurement error, and sample selectivity. We have tackled the endogeneity and measurement error biases via instrumental variables two stage least squares approach for which we have proposed two new instrum…

Estimation adaptativeEndogeneitySemi-parametric estimationEstimation semi-paramétrique[ MATH.MATH-GM ] Mathematics [math]/General Mathematics [math.GM]Modèle de MincerInstrumental variablesRégression par quantileHeteroscedasticity[SHS.ECO]Humanities and Social Sciences/Economics and FinanceVariables InstrumentalesMincerian modelAdaptive estimationBiais de SélectionFonction de gainsSample selection biasWage regressionQuantile regression[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceEndogénéitéHétéroscédasticité
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Foreign Taleovers and Wages: Theory and Evidence from Hungary

2005

This study discriminates FDI technology spillover from learning effects. Whenever learning takes time, our model predicts that foreign investors deduct the economic value of learning from wages of inexperienced workers and add it to experienced ones to prevent them from moving to local competitors. Hence, the national wage bill is unaffected by foreign takeovers. In contrast to learning, technology spillover effects occur whenever a worker with MNE experience contributes more to local firms’ than to MNEs’ productivity. In this case, experienced MNE workers are hired by local firms and the host country obtains a welfare gain. We investigate empirically wages, productivity, and worker turnove…

FDI foreign takeover cross-border M&A wage regression employee-employer matched data propensity score matching FDI technology spilloverjel:J3jel:F2
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