Amazon cover image
Image from Amazon.com

Missing data methods : cross-sectional methods and applications / edited by David M. Drukker.

Contributor(s): Material type: TextTextSeries: Advances in econometrics ; v. 27-A.Publication details: Bingley, U.K. : Emerald, 2011.Description: 1 online resource (xiv, 337 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781780525259
  • 1780525257
  • 1283354861
  • 9781283354868
  • 9786613354860
  • 6613354864
Subject(s): Genre/Form: Additional physical formats: Print version:: No titleDDC classification:
  • 519.5 23
LOC classification:
  • QA276 .M57 2011
Online resources:
Contents:
Introduction / David M. Drukker -- The elephant in the corner : a cautionary tale about measurement error in treatment effects models / Daniel L. Millimet -- Recent developments in semiparametric and nonparametric estimation of panel data models with incomplete information : a selected review / Yu Yvette Zhang, Qi Li, Dong Li -- Likelihood-based estimators for endogenous or truncated samples in standard stratified sampling / Myoung-jae Lee, Sanghyeok Lee -- Efficient estimation of the dose-response function under ignorability using subclassification on the covariates / Matias D. Cattaneo, Max H. Farrell -- Average derivative estimation with missing responses / Francesco Bravo, Kim P. Huynh, David T. Jacho-Chávez -- Consistent estimation and orthogonality / Tiemen Woutersen -- On the estimation of selection models when participation is endogenous and misclassified / Ian M. McCarthy, Rusty Tchernis -- Efficient probit estimation with partially missing covariates / Denis Conniffe, Donal O'Neill -- Nonlinear difference-in-difference treatment effect estimation : a distributional analysis / Kim P. Huynh, David T. Jacho-Chávez, Marcel C. Voia -- Bayesian analysis of multivariate sample selection models using Gaussian copulas / Phillip Li, Mohammad Arshad Rahman -- Estimating the average treatment effect based on direct estimation of the conditional treatment effect / Jingping Gu, Juan Lin, Dandan Liu -- A missing variable imputation methodology with an empirical application / Gayaneh Kyureghian, Oral Capps, Rodolfo M. Nayga.
Summary: 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.
Item type:
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Home library Collection Call number Materials specified Status Date due Barcode
Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

Introduction / David M. Drukker -- The elephant in the corner : a cautionary tale about measurement error in treatment effects models / Daniel L. Millimet -- Recent developments in semiparametric and nonparametric estimation of panel data models with incomplete information : a selected review / Yu Yvette Zhang, Qi Li, Dong Li -- Likelihood-based estimators for endogenous or truncated samples in standard stratified sampling / Myoung-jae Lee, Sanghyeok Lee -- Efficient estimation of the dose-response function under ignorability using subclassification on the covariates / Matias D. Cattaneo, Max H. Farrell -- Average derivative estimation with missing responses / Francesco Bravo, Kim P. Huynh, David T. Jacho-Chávez -- Consistent estimation and orthogonality / Tiemen Woutersen -- On the estimation of selection models when participation is endogenous and misclassified / Ian M. McCarthy, Rusty Tchernis -- Efficient probit estimation with partially missing covariates / Denis Conniffe, Donal O'Neill -- Nonlinear difference-in-difference treatment effect estimation : a distributional analysis / Kim P. Huynh, David T. Jacho-Chávez, Marcel C. Voia -- Bayesian analysis of multivariate sample selection models using Gaussian copulas / Phillip Li, Mohammad Arshad Rahman -- Estimating the average treatment effect based on direct estimation of the conditional treatment effect / Jingping Gu, Juan Lin, Dandan Liu -- A missing variable imputation methodology with an empirical application / Gayaneh Kyureghian, Oral Capps, Rodolfo M. Nayga.

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.

Includes bibliographical references.

English.

eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - Worldwide

There are no comments on this title.

to post a comment.

O.P. Jindal Global University, Sonepat-Narela Road, Sonepat, Haryana (India) - 131001

Send your feedback to glus@jgu.edu.in

Hosted, Implemented & Customized by: BestBookBuddies   |   Maintained by: Global Library