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- handle: 10670/1.kzwydn
- hal: hal-03264006
- doi: 10.1016/j.jeconom.2017.08.006
- SCIENCESPO: 2441/lpag9391598uoauqu4u9opq76
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info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jeconom.2017.08.006
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/hdl/2441/lpag9391598uoauqu4u9opq76
Mots-clés
Latent variable models Unobserved heterogeneity Finite mixtures Hidden Markov models Nonparametric estimation Panel data Wage dynamics C - Mathematical and Quantitative Methods/C.C1 - Econometric and Statistical Methods and Methodology: General/C.C1.C14 - Semiparametric and Nonparametric Methods: General C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables/C.C3.C33 - Panel Data Models • Spatio-temporal Models C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables/C.C3.C38 - Classification Methods • Cluster Analysis • Principal Components • Factor Models J - Labor and Demographic Economics/J.J3 - Wages, Compensation, and Labor Costs/J.J3.J31 - Wage Level and Structure • Wage DifferentialsSujets proches
Earnings Wage rates Wage-fund Departmental salaries Remuneration Pay Salaries Compensation Working class--WagesCiter ce document
Stéphane Bonhomme et al., « Nonparametric estimation of non-exchangeable latent-variable models », Archive ouverte de Sciences Po (SPIRE), ID : 10.1016/j.jeconom.2017.08.006
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Résumé
We propose a two-step method to nonparametrically estimate multivariate models in which the observed outcomes are independent conditional on a discrete latent variable. Applications include microeconometric models with unobserved types of agents, regime-switching models, and models with misclassification error. In the first step, we estimate weights that transform moments of the marginal distribution of the data into moments of the conditional distribution of the data for given values of the latent variable. In the second step, these conditional moments are estimated as weighted sample averages. We illustrate the method by estimating a model of wages with unobserved heterogeneity on PSID data.