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Measurement error in imputation procedures

  • Rodolfo G. Campos

    ()

    (IESE Business school)

  • Iliana Reggio

    ()

    (Universidad Carlos III)

We study how estimators used to impute consumption in survey data are inconsistent due to measurement error in consumption. Previous research suggests instrumenting consumption to overcome this problem. We show that, if additional regressors are present, then instrumenting consumption may still produce inconsistent estimators due to the likely correlation between additional regressors and measurement error. On the other hand, low correlations between additional regressors and instruments may reduce bias due to measurement error. We apply our fi ndings by revisiting recent research that imputes consumption data from the CEX to the PSID.

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File URL: http://www.bde.es/f/webbde/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosTrabajo/13/Fich/dt1322e.pdf
File Function: First version, December 2013
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Paper provided by Banco de Espa�a in its series Banco de Espa�a Working Papers with number 1322.

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Length: 25 pages
Date of creation: Dec 2013
Date of revision:
Handle: RePEc:bde:wpaper:1322
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  1. Dmytro Hryshko & María José Luengo-Prado. & Bent E. Sørensen, 2009. "House prices and risk sharing," New England Public Policy Center Working Paper 09-3, Federal Reserve Bank of Boston.
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  3. Erich Battistin & Mario Padula, 2010. "Survey Instruments and the Reports of Consumption Expenditures: Evidence from the Consumer Expenditure Surveys," CSEF Working Papers 259, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
  4. John Gibson, 2002. "Why Does the Engel Method Work? Food Demand, Economies of Size and Household Survey Methods," Working Papers in Economics 02/02, University of Waikato, Department of Economics.
  5. Richard Blundell & Luigi Pistaferri & Ian Preston, 2008. "Consumption Inequality and Partial Insurance," American Economic Review, American Economic Association, vol. 98(5), pages 1887-1921, December.
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  7. Köhne, Sebastian & Abraham, Arpad & Pavoni, Nicola, 2014. "Optimal Income Taxation with Asset Accumulation," Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100406, Verein für Socialpolitik / German Economic Association.
  8. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843 Elsevier.
  9. Rodolfo G. Campos & Iliana Reggio & Dionisio García-Píriz, 2013. "Micro versus macro consumption data: the cyclical properties of the consumer expenditure survey," Applied Economics, Taylor & Francis Journals, vol. 45(26), pages 3778-3785, September.
  10. John Sabelhaus & David Johnson & Stephen Ash & David Swanson & Thesia Garner & John Greenlees & Steve Henderson, 2013. "Is the Consumer Expenditure Survey Representative by Income?," NBER Working Papers 19589, National Bureau of Economic Research, Inc.
  11. Claudio Michelacci & Hernán Ruffo, 2015. "Optimal Life Cycle Unemployment Insurance," American Economic Review, American Economic Association, vol. 105(2), pages 816-59, February.
  12. Orazio Attanasio & Erik Hurst & Luigi Pistaferri, 2012. "The Evolution of Income, Consumption, and Leisure Inequality in The US, 1980-2010," NBER Working Papers 17982, National Bureau of Economic Research, Inc.
  13. Greg Kaplan & Giovanni L. Violante, 2010. "How Much Consumption Insurance beyond Self-Insurance?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(4), pages 53-87, October.
  14. Fatih Guvenen & Anthony Smith, 2010. "Inferring Labor Income Risk from Economic Choices: An Indirect Inference Approach," NBER Working Papers 16327, National Bureau of Economic Research, Inc.
  15. Adam Bee & Bruce D. Meyer & James X. Sullivan, 2012. "The Validity of Consumption Data: Are the Consumer Expenditure Interview and Diary Surveys Informative?," NBER Working Papers 18308, National Bureau of Economic Research, Inc.
  16. Richard Blundell & Luigi Pistaferri & Ian Preston, 2004. "Imputing consumption in the PSID using food demand estimates from the CEX," IFS Working Papers W04/27, Institute for Fiscal Studies.
  17. Aitor Lacuesta & Sergio Puente & Ernesto Villanueva, 2011. "The schooling response to a sustained increase in low-skill wages: evidence from Spain 1989-2009," Banco de Espa�a Working Papers 1208, Banco de Espa�a.
  18. Naeem Ahmed & Matthew Brzozowski & Thomas Crossley, 2006. "Measurement errors in recall food consumption data," IFS Working Papers W06/21, Institute for Fiscal Studies.
  19. Ralph Koijen & Stijn Van Nieuwerburgh & Roine Vestman, 2014. "Judging the Quality of Survey Data by Comparison with "Truth" as Measured by Administrative Records: Evidence From Sweden," NBER Chapters, in: Improving the Measurement of Consumer Expenditures National Bureau of Economic Research, Inc.
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