Advanced Search
MyIDEAS: Login

Measurement error and imputation of consumption in survey data

Contents:

Author Info

  • Rodolfo G. Campos

    ()

  • Ilina Reggio

    ()

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 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.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://e-archivo.uc3m.es/bitstream/10016/14890/1/we1219.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Universidad Carlos III, Departamento de Economía in its series Economics Working Papers with number we1219.

as in new window
Length:
Date of creation: Jul 2012
Date of revision:
Handle: RePEc:cte:werepe:we1219

Contact details of provider:
Postal: C./ Madrid, 126, 28903 Getafe (Madrid)
Phone: +34-91 6249594
Fax: +34-91 6249329
Email:
Web page: http://www.eco.uc3m.es
More information through EDIRC

Related research

Keywords: Consumption; Measurement error; Instrumental variables; Consumer expenditure survey; Panel study of income dynamics;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  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. Battistin, Erich & Padula, Mario, 2010. "Survey Instruments and the Reports of Consumption Expenditures: Evidence from the Consumer Expenditure Surveys," CEPR Discussion Papers 8051, C.E.P.R. Discussion Papers.
  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).
Full references (including those not matched with items on IDEAS)

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:cte:werepe:we1219

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.