Item non-response on income and wealth questions
AbstractAfter reviewing the literature on item non-response we focus on three issues: First, is there significant heterogeneity in item non-response across financial questions and in the association of covariates with item non-response across outcomes? Second, can the informational value of surveys be improved by matching interviewers and respondents based on their characteristics? Third, how does offering a "don't know" answer option affect respondent behavior? The questions are answered based on detailed survey and interviewer data from the German Socioeconomic Panel, considering a broad set of income and wealth outcomes.
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Bibliographic InfoArticle provided by Springer in its journal Empirical Economics.
Volume (Year): 30 (2005)
Issue (Month): 2 (09)
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Other versions of this item:
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
- I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
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- Horowitz, J.L. & Manski, C.F., 1995.
"Censoring of Outcomes and Regressors Due to Survey Nonresponse: Identification and estimation Using Weights and Imputations,"
Working Papers, University of Iowa, Department of Economics
95-12, University of Iowa, Department of Economics.
- Horowitz, Joel L. & Manski, Charles F., 1998. "Censoring of outcomes and regressors due to survey nonresponse: Identification and estimation using weights and imputations," Journal of Econometrics, Elsevier, Elsevier, vol. 84(1), pages 37-58, May.
- Joel L. Horowitz & Charles F. Manski, 1996. "Censoring of Outcomes and Regressors Due To Survey Nonresponse: Identification and Estimation Using Weights and Imputations," Econometrics, EconWPA 9602007, EconWPA, revised 06 Mar 1996.
- Hausman, Jerry & McFadden, Daniel, 1984.
"Specification Tests for the Multinomial Logit Model,"
Econometrica, Econometric Society,
Econometric Society, vol. 52(5), pages 1219-40, September.
- D. McFadden & J. Hausman, 1981. "Specification Tests for the Multinominal Logit Model," Working papers 292, Massachusetts Institute of Technology (MIT), Department of Economics.
- Zweimuller, Josef, 1992. "Survey non-response and biases in wage regressions," Economics Letters, Elsevier, vol. 39(1), pages 105-109, May.
- Lillard, Lee & Smith, James P & Welch, Finis, 1986.
"What Do We Really Know about Wages? The Importance of Nonreporting and Census Imputation,"
Journal of Political Economy, University of Chicago Press,
University of Chicago Press, vol. 94(3), pages 489-506, June.
- Lee Lillard & James P. Smith & Finis Welch, 2004. "What Do We Really Know About Wages: The Importance of Nonreporting and Census Imputation," Labor and Demography, EconWPA 0404005, EconWPA.
- Daniel H. Hill & Robert J. Willis, 2001. "Reducing Panel Attrition: A Search for Effective Policy Instruments," Journal of Human Resources, University of Wisconsin Press, vol. 36(3), pages 416-438.
- Alfonso Sousa-Poza & Fred Henneberger, 2000. "Wage data collected by telephone interviews: an empirical analysis of the item nonresponse problem and its implications for the estimation of wage functions," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), Swiss Society of Economics and Statistics (SSES), vol. 136(I), pages 79-98, March.
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