Missing-data methods: cross-sectional methods and applications

edited by David M. Drukker

Volume 27 of Advances in Econometrics, entitled Missing Data Methods, contains 16 chapters authored by specialists in the field, covering topics such as: Missing-Data Imputation in Nonstationary Panel Data Models; Markov Switching Models in Empirical Finance; Bayesian Analysis of Multivariate Sample Selection Models Using Gaussian Copulas; Consistent Estimation and Orthogonality; and Likelihood-Based Estimators for Endogenous or Truncated Samples in Standard Stratified Sampling.

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Year of publication:	2011 ; 1. ed.
Other Persons:	Drukker, David M. (ed.)
Publisher:	Bingley : Emerald
Subject:	Schätztheorie \| Estimation theory \| Datenqualität \| Data quality \| Querschnittsanalyse \| Cross-section analysis \| Panel \| Panel study \| Nichtparametrisches Verfahren \| Nonparametric statistics \| Monte-Carlo-Simulation \| Nichtparametrische Schätzung \| Likelihood-Funktion \| Bayes-Verfahren
Description of contents:	Description [zbmath.org]