Search Results - subject:"Hot deck imputation"

Trouble in the Tails? What We Know about Earnings Nonresponse Thirty Years after Lillard, Smith, and Welch

Bollinger, Christopher R.; Hirsch, Barry; Hokayem, … - 2018

Earnings nonresponse in household surveys is widespread, yet there is limited knowledge of how nonresponse biases earnings measures. We examine the consequences of nonresponse on earnings gaps and inequality using Current Population Survey individual records linked to administrative earnings...

Persistent link: https://www.econbiz.de/10011931675

Trouble in the tails? : what we know about earnings nonresponse thirty years after Lillard, Smith, and Welch

Bollinger, Christopher R.; Hirsch, Barry T.; Hokayem, … - 2018

Persistent link: https://www.econbiz.de/10011892612

Integration and imputation of survey data in R: the StatMatch package

Marcello D’Orazio - In: Romanian Statistical Review 63 (2015) 2, pp. 57-68

Statistical matching methods permit to integrate two or more data sources with the purpose of investigating the relationship between variables not jointly observed. Recently these methods received much attention as valid alternative to produce new statistical outputs.The paper provides an...

Persistent link: https://www.econbiz.de/10011265046

MISSING-VALUES ADJUSTMENT FOR MIXED-TYPE DATA

Tarsitano, Agostino; Falcone, Marianna - Dipartimento di Scienze Economiche, Statistiche e … - 2010

the last are heterogeneous in measurement scale. Our technique is a variation of the popular nearest neighbor hot deck … imputation (NNHDI) where "nearest" is defined in terms of a global distance obtained as a convex combination of the partial …

Persistent link: https://www.econbiz.de/10008484437

A martingale representation for matching estimators

Abadie, Alberto; Imbens, Guido W. - 2009

Matching estimators are widely used in statistical data analysis. However, the distribution of matching estimators has been derived only for particular cases (Abadie and Imbens, 2006). This article establishes a martingale representation for matching estimators. This representation allows the...

Persistent link: https://www.econbiz.de/10010269062

A Martingale Representation for Matching Estimators

Abadie, Alberto; Imbens, Guido W. - Institute for the Study of Labor (IZA) - 2009

literature. JEL Classification: C13, C14, C21 Keywords: matching, martingales, treatment effects, hot-deck imputation …, where it is often referred to as \hot-deck imputation" (Little and Rubin, 2002). For concreteness, and to avoid tedious … treatment efiects as well as \hot-deck" imputation methods for missing data. 7 Appendix Proof of Proposition 1: By changing …

Persistent link: https://www.econbiz.de/10005566424

Non-Bayesian Multiple Imputation

Bjørnstad, Jan F. - 2005

Multiple imputation is a method specifically designed for variance estimation in the presence of missing data. Rubin's combination formula requires that the imputation method is "proper" which essentially means that the imputations are random draws from a posterior distribution in a Bayesian...

Persistent link: https://www.econbiz.de/10011968191

Non-Bayesian Multiple Imputation

Bjørnstad, Jan F. - Statistisk Sentralbyrå, Government of Norway - 2005

Multiple imputation is a method specifically designed for variance estimation in the presence of missing data. Rubin’s combination formula requires that the imputation method is “proper” which essentially means that the imputations are random draws from a posterior distribution in a...

Persistent link: https://www.econbiz.de/10004980847

Interstate Migration Has Fallen Less Than You Think: Consequences of Hot Deck Imputation in the Current Population Survey

Kaplan, Greg; Schulhofer-Wohl, Sam - In: Demography 49 (2012) 3, pp. 1061-1074

Persistent link: https://www.econbiz.de/10010845446

Fractional imputation for incomplete two-way contingency tables

Kang, Shin-Soo; Koehler, Kenneth; Larsen, Michael - In: Metrika 75 (2012) 5, pp. 581-599

Persistent link: https://www.econbiz.de/10010846104