Description
Book SynopsisVolume 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.
Table of ContentsList 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. Missing Data Methods: Cross-sectional Methods and Applications. Advances in Econometrics. Advances in Econometrics. Copyright page.
