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Missing Data Methods: Cross-sectional Methods and Applications
Missing Data Methods: Cross-sectional Methods and Applications
ISBN: 978-1-78052-524-2, eISBN: 978-1-78052-525-9
ISSN: 0731-9053
Publication date: 23 November 2011
Citation
(2011), "Missing Data Methods: Cross-sectional Methods and Applications", Drukker, D.M. (Ed.) Missing Data Methods: Cross-sectional Methods and Applications (Advances in Econometrics, Vol. 27 Part 1), Emerald Group Publishing Limited, Leeds, p. i. https://doi.org/10.1108/S0731-9053(2011)000027A016
Publisher
:Emerald Group Publishing Limited
Copyright © 2011, Emerald Group Publishing Limited
- Missing Data Methods: Cross-sectional Methods and Applications
- Advances in Econometrics
- Advances in Econometrics
- Copyright Page
- List of Contributors
- Introduction
- The Elephant in the Corner: A Cautionary Tale about Measurement Error in Treatment Effects Models
- Recent Developments in Semiparametric and Nonparametric Estimation of Panel Data Models with Incomplete Information: A Selected Review
- Likelihood-Based Estimators for Endogenous or Truncated Samples in Standard Stratified Sampling
- Efficient Estimation of the Dose–Response Function Under Ignorability Using Subclassification on the Covariates
- Average Derivative Estimation with Missing Responses
- Consistent Estimation and Orthogonality
- On the Estimation of Selection Models when Participation is Endogenous and Misclassified
- Efficient Probit Estimation with Partially Missing Covariates
- Nonlinear Difference-in-Difference Treatment Effect Estimation: A Distributional Analysis
- Bayesian Analysis of Multivariate Sample Selection Models Using Gaussian Copulas
- Estimating the Average Treatment Effect Based on Direct Estimation of the Conditional Treatment Effect
- A Missing Variable Imputation Methodology with an Empirical Application