0000000000554243

AUTHOR

Sajjad Haider Bhatti

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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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