Improving consumption measurement and other survey data through CAPI: Evidence from a randomized experiment
This paper reports on a randomized survey experiment among 1840 households, designed to compare pen-and-paper interviewing (PAPI) to computer-assisted personal interviewing (CAPI). We find that PAPI data contain a large number of errors, which can be avoided in CAPI. Error counts are not randomly distributed across the sample, but are correlated with household characteristics, potentially introducing sample bias if dubious observations need to be dropped. We demonstrate a tendency for the spread of total measured consumption to be higher on paper compared to CAPI, translating into significantly higher measured inequality. Investigating further the nature of PAPI's measurement error for consumption, we fail to reject the hypothesis that it is classical: it attenuates the coefficient on consumption when used as explanatory variable and we find no evidence of bias when consumption is used as dependent variable. Finally, CAPI and PAPI are compared in terms of interview length, costs and respondents' perceptions.
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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
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.:
- Bound, John & Krueger, Alan B, 1991.
"The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?,"
Journal of Labor Economics,
University of Chicago Press, vol. 9(1), pages 1-24, January.
- John Bound & Alan B. Krueger, 1989. "The Extent of Measurement Error In Longitudinal Earnings Data: Do Two Wrongs Make A Right?," NBER Working Papers 2885, National Bureau of Economic Research, Inc.
- Bart Capéau & Stefan Dercon, 2006.
"Prices, Unit Values and Local Measurement Units in Rural Surveys: an Econometric Approach with an Application to Poverty Measurement in Ethiopia,"
Journal of African Economies,
Centre for the Study of African Economies (CSAE), vol. 15(2), pages 181-211, June.
- Bart Capéau & Stefan Dercon, 2004. "Prices, unit values and local measurement units in rural surveys: an econometric approach with an application to poverty measurement in Ethiopia," Public Economics Working Paper Series puvlmurs, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Working Group Public Economics.
- Bart Capéau & Stefan Dercon, 1998. "Prices, Unit Values and Local Measurement Units in Rural Surveys: an Econometric Approach with an Application to Poverty Measurement in Ethiopia," Working Papers Department of Economics ces9818, KU Leuven, Faculty of Economics and Business, Department of Economics.
- Marcel Fafchamps & David McKenzie & Simon Quinn & Christopher Woodruff, 2010.
"Using PDA consistency checks to increase the precision of profits and sales measurement in panels,"
CSAE Working Paper Series
2010-19, Centre for the Study of African Economies, University of Oxford.
- Fafchamps, Marcel & McKenzie, David & Quinn, Simon & Woodruff, Christopher, 2012. "Using PDA consistency checks to increase the precision of profits and sales measurement in panels," Journal of Development Economics, Elsevier, vol. 98(1), pages 51-57.
- Marcel Fafchamps & Simon Quinn & David McKenzie and Christopher Woodruff, 2010. "Using PDA consistency checks to increase the precision of profits and sales measurement in panels," Economics Series Working Papers CSAE WPS/2010-19, University of Oxford, Department of Economics.
- Andrew Chesher & Christian Schluter, 2002.
"Welfare Measurement and Measurement Error,"
Review of Economic Studies,
Oxford University Press, vol. 69(2), pages 357-378.
- 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.
- John Gibson & Bonggeun Kim, 2007. "Measurement Error in Recall Surveys and the Relationship between Household Size and Food Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 473-489.
- Bound, John, et al, 1994. "Evidence on the Validity of Cross-Sectional and Longitudinal Labor Market Data," Journal of Labor Economics, University of Chicago Press, vol. 12(3), pages 345-68, July.
- de Leeuw and Nicholls, 1996. "Technological Innovations in Data Collection: Acceptance, Data Quality and Costs," Sociological Research Online, Sociological Research Online, vol. 1(4), pages leeuw.
- Jonathan Haughton & Shahidur R. Khandker, 2009. "Handbook on Poverty and Inequality," World Bank Publications, The World Bank, number 11985, April.
When requesting a correction, please mention this item's handle: RePEc:eee:deveco:v:98:y:2012:i:1:p:19-33. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)
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.