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.

MoreLess

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

Online Resource

Check full text access |

More access options

doi.org

Check Google Scholar

In libraries world-wide (WorldCat)

In German libraries (KVK)

subito order

I need help

Buch-Ausg. u.d.T.:

Drukker, David M.. Missing data methods ; [1]: Cross-sectional methods and applications, 1. ed.. - Bingley : Emerald, 2011. - XIV, 337 S.

Persistent link: https://www.econbiz.de/10012049854