Using binary paradata to correct for measurement error in survey data analysis
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- Erich Battistin & Raffaele Miniaci & Guglielmo Weber, 2003.
"What Do We Learn from Recall Consumption Data?,"
Journal of Human Resources, University of Wisconsin Press, vol. 38(2).
- Erich Battistin & Raffaelle Miniaci & Guglielmo Weber, 2000. "What do we learn from recall consumption data?," IFS Working Papers W00/10, Institute for Fiscal Studies.
- Erich Battistin & Raffaele Miniaci & Guglielmo Weber, 2003. "What do we learn from recall consumption data?," Temi di discussione (Economic working papers) 466, Bank of Italy, Economic Research and International Relations Area.
- Da Silva, Damião Nóbrega & Skinner, Chris J., 2014. "The use of accuracy indicators to correct for survey measurement error," LSE Research Online Documents on Economics 51256, London School of Economics and Political Science, LSE Library.
- Matthew Blackwell & James Honaker & Gary King, 2017.
"A Unified Approach to Measurement Error and Missing Data: Overview and Applications,"
Sociological Methods & Research, , vol. 46(3), pages 303-341, August.
- Matthew Blackwell & James Honaker & Gary King, "undated". "A Unified Approach to Measurement Error and Missing Data: Overview and Applications," Working Paper 6388, Harvard University OpenScholar.
- Yulei He & Alan M. Zaslavsky, 2009. "Combining Information from Cancer Registry and Medical Records Data to Improve Analyses of Adjuvant Cancer Therapies," Biometrics, The International Biometric Society, vol. 65(3), pages 946-952, September.
- Damião N. Da Silva & Chris Skinner, 2014. "The use of accuracy indicators to correct for survey measurement error," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 63(2), pages 303-319, February.
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Cited by:
- Jae Kwang Kim & J.N.K. Rao & Yonghyun Kwon, 2022. "Analysis of clustered survey data based on two‐stage informative sampling and associated two‐level models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1522-1540, October.
- Bruce D. Meyer & Nikolas Mittag, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," NBER Working Papers 25738, National Bureau of Economic Research, Inc.
- Mengli Zhang & Yang Bai, 2021. "On the use of repeated measurement errors in linear regression models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 84(5), pages 779-803, July.
- Meyer, Bruce D. & Mittag, Nikolas, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," IZA Discussion Papers 12266, Institute of Labor Economics (IZA).
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More about this item
Keywords
auxiliary survey information; complex sampling; fractional imputation; pseudo maximum likelihood;All these keywords.
JEL classification:
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2018-03-12 (Econometrics)
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