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Improving the Quality of Economic Data: Lessons from the HRS and AHEAD
F. Juster,James P. Smith +1 more
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Follow-up brackets as discussed by the authors represent partial responses to asset questions and apparently significantly reduce item nonresponse, which is a critical problem with economic survey data, and also provide a remedy to deal with nonignorable nonresponse bias.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.read more
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Sensitive questions in surveys.
Roger Tourangeau,Ting Yan +1 more
TL;DR: The article reviews the research done by survey methodologists on reporting errors in surveys on sensitive topics, noting parallels and differences from the psychological literature on social desirability.
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Empirical Strategies in Labor Economics
TL;DR: In this article, the authors provide an overview of the methodological and practical issues that arise when estimating causal relationships that are of interest to labor economists, including identification, data collection, and measurement problems.
Journal ArticleDOI
Working With Missing Values
TL;DR: In this paper, the effects of missing values are illustrated for a linear model, and a series of recommendations are provided for missing values can produce biased estimates, distorted statistical power, and invalid conclusions.
Book ChapterDOI
Measurement Error in Survey Data
TL;DR: While standard methods will not eliminate the bias when measurement errors are not classical, one can often use them to obtain bounds on this bias, and it is argued that validation studies allow us to assess the magnitude of measurement errors in survey data, and the validity of the classical assumption.
References
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Journal ArticleDOI
Enhancing the Quality of Data on Income Recent Innovations from the HRS
TL;DR: In this paper, the authors evaluate two survey innovations introduced in the HRS that aimed to improve income measurement, i.e., the integration of questions for income and wealth and matching the periodicity over which income questions are asked to the typical way such income is received.
Journal ArticleDOI
Household wealth in Australia: Its components, distribution and correlates
TL;DR: Using data from the second wave of the Household, Income and Labour Dynamics in Australia (HILDA) Survey, this paper provided information on the composition, distribution and correlates of the wealth holdings of Australian households.
Journal ArticleDOI
Identifying extensions required by RUP (rational unified process) to comply with CMM (capability maturity model) levels 2 and 3
L.V. Manzoni,R.T. Price +1 more
TL;DR: An assessment of the rational unified process based on the capability maturity model (CMM) resulted in the elaboration of proposals to enhance the RUP in order to satisfy the key process areas of CMM.
Posted Content
The Measurement and Structure of Household Wealth
TL;DR: In this paper, the authors deal with methodological issues that arise in measuring household wealth, and the PSID and SCF surveys rely on different methodological approaches to the measurement of household wealth.
Journal ArticleDOI
A longitudinal analysis of the impact of health shocks on the wealth of elders
Jinkook Lee,Hyungsoo Kim +1 more
TL;DR: It is found that new health events lower wealth in elders during the period in which such health shocks occur, but the impact tends to disappear over time, and that health shocks result in greater wealth depletion when they occur later in life.
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The Relation Between Unit Nonresponse and Item Nonresponse: A Response Continuum Perspective
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