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Measurement error and imputation of consumption in survey data

  • Rodolfo G. Campos

    ()

  • Ilina Reggio

    ()

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 in the estimation, then instrumenting consumption may still produce inconsistent estimators. This inconsistency arises from the likely correlation between those additional regressors and the measurement error, a correlation not directly observable. We propose an additional condition to be satisfied by the instrument that reduces and even eliminates measurement error bias in the presence of additional regressors. This condition is directly observable in the data.

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File URL: http://e-archivo.uc3m.es/bitstream/10016/14890/1/we1219.pdf
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Paper provided by Universidad Carlos III, Departamento de Economía in its series Economics Working Papers with number we1219.

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Date of creation: Jul 2012
Date of revision:
Handle: RePEc:cte:werepe:we1219
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  1. Erich Battistin & Raffale Miniaci & Guglielmo Weber, 2000. "What do we learn from recall consumption data?," IFS Working Papers W00/10, Institute for Fiscal Studies.
  2. Naeem Ahmed & Matthew Brzozowski & Thomas Crossley, 2006. "Measurement errors in recall food consumption data," IFS Working Papers W06/21, Institute for Fiscal Studies.
  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.
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