Causal Models for Patterns of Nonresponse

作     者：Fay, Robert E. 

作者机构：Staff Assistant Statistical Methods Division U.S. Bureau of the Census Washington DC 20233 

出 版 物：《Journal of the American Statistical Association》 

年 卷 期：1986年第81卷第394期

页      面：354-354页

学科分类：0202[经济学-应用经济学] 02[经济学] 020208[经济学-统计学] 07[理学] 0714[理学-统计学（可授理学、经济学学位）] 

主　　题：Categorical data Contingency tables EM algorithm Log-linear model Missing data Nonignorable non- response Sample surveys. 

摘      要：The problem of missing data for categorical variables is examined from the perspective of modeling the mechanisms of nonresponse. Log-linear causal models, as formulated by Goodman, are studied for the relationship of the survey variables to response; under some conditions several such models are estimable from the observed data. For nested patterns of nonresponse, a specific causal model represents exactly the assumption of ignorable response. Most causal models, however, imply nonignorable response mechanisms and yield alternative estimates for the distribution of the survey variables. [ABSTRACT FROM AUTHOR]