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Measurement error and imputation of consumption in survey data

Author

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  • Campos, Rodolfo G.
  • Reggio, Iliana

Abstract

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. This inconsistency arises from the correlation between additional regressors and measurement error. We propose an additional condition to be satisfied by the instrument that reduces measurement error bias. This condition is directly observable in the data. We apply our findings by revisiting recent research that imputes consumption data from the CEX to the PSID.

Suggested Citation

  • Campos, Rodolfo G. & Reggio, Iliana, 2013. "Measurement error and imputation of consumption in survey data," UC3M Working papers. Economics we1219, Universidad Carlos III de Madrid. Departamento de Economía.
  • Handle: RePEc:cte:werepe:we1219
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    References listed on IDEAS

    as
    1. 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.
    2. Erich Battistin & Mario Padula, 2016. "Survey instruments and the reports of consumption expenditures: evidence from the consumer expenditure surveys," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(2), pages 559-581, February.
    3. 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).
    4. Skinner, Jonathan, 1987. "A superior measure of consumption from the panel study of income dynamics," Economics Letters, Elsevier, vol. 23(2), pages 213-216.
    5. Naeem Ahmed & Matthew Brzozowski & Thomas Crossley, 2006. "Measurement errors in recall food consumption data," IFS Working Papers W06/21, Institute for Fiscal Studies.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Consumption;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth

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