Improving the quality of economic data: Lessons from the HRS and AHEAD

被引：72

作者：

Juster, FT ^{[1
]}

Smith, JP

机构：

[1] Univ Michigan, Survey Res Ctr, Ann Arbor, MI 48104 USA

[2] Rand Corp, Santa Monica, CA 90407 USA

来源：

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | 1997年 / 92卷 / 440期

关键词：

imputation; missing data; nonignorable nonresponse;

D O I：

10.2307/2965397

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Missing data are an increasingly important problem in economic surveys, especially when trying to measure household wealth. However, some relatively simple new survey methods such as follow-up brackets appear to appreciably improve the quality of household economic data. Brackets represent partial responses to asset questions and apparently significantly reduce item nonresponse. Brackets also provide a remedy to deal with non-ignorable nonresponse bias, a critical problem with economic survey data.

引用

页码：1268 / 1278

页数：11

共 23 条

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