Search results for " sample selection"

showing 2 items of 2 documents

The public–private sector wage gap in Latvia

2018

This study investigates the public-private sector wage gap in Latvia using microdata from the labour force survey. The severity of public sector wage cuts employed as a response to the economic crisis and subsequent recovery provides a test bed to analyse whether and how the public-private sector wage gap has adjusted after consolidation-driven wage cuts. Findings reveal that the observed wage gap is slightly in favour of the public sector; however, once differences in individual characteristics and selection effects are considered, results point to a private sector wage premium. Findings also suggest that the private sector wage premium has increased since the pre-crisis period. A signific…

Labour economicsLabour force surveypublic sector wagesmedia_common.quotation_subjectJ88WageOaxaca-Ransom decompositionMicrodata (statistics)lcsh:K4430-4675lcsh:HD72-88lcsh:Economic growth development planningpublic-private sector wage gap0502 economics and businessEconomicsddc:330050207 economicsJ31lcsh:Public finance050205 econometrics media_commonpublic–private sector wage gapbusiness.industryJ3305 social sciencesPublic sectorPrivate sectorDouble sample selectionPolitical Science and International RelationsbusinessGeneral Economics Econometrics and FinanceBaltic Journal of Economics
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Estimation of ordered response models with sample selection

2011

We introduce two new Stata commands for the estimation of an ordered response model with sample selection. The opsel command uses a standard maximum-likelihood approach to fit a parametric specification of the model where errors are assumed to follow a bivariate Gaussian distribution. The snpopsel command uses the semi-nonparametric approach of Gallant and Nychka (1987, Econometrica 55: 363–390) to fit a semiparametric specification of the model where the bivariate density function of the errors is approximated by a Hermite polynomial expansion. The snpopsel command extends the set of Stata routines for semi-nonparametric estimation of discrete response models. Compared to the other semi-n…

EstimationSample selectionHermite polynomialsResponse modelComputer scienceEstimatorSettore SECS-P/05 - EconometriaProbability density functionBivariate analysisst0226 opsel opsel postestimation sneop sneop postestimation snp2 snp2 postestimation snp2s snp2s postestimation snpopsel snpopsel postestimation snp snp postestimation ordered response models sample selection parametric maximum-likelihood estimation semi-nonparametric estimationSet (abstract data type)Mathematics (miscellaneous)StatisticsSettore SECS-P/01 - Economia PoliticaAlgorithmMathematicsParametric statistics
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