Improving the Quality of Economic Data: Lessons from the HRS and AHEAD

Abstract

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 nonignorable nonresponse bias, a critical problem with economic survey data.

Key Words:

• Imputation
• Missing data
• Nonignorable nonresponse.