Measurement Errors in Recall Food Expenditure Data
AbstractHousehold expenditure data is an important input into the study of consumption and savings behaviour and of living standards and inequality. Because it is collected in many surveys, food expenditure data has formed the basis of much work in these areas. Recently, there has been considerable interest in properties of different ways of collecting expenditure information. It has also been suggested that measurement error in expenditure data seriously affects empirical work based on such data. The Canadian Food Expenditure Survey asks respondents to first estimate their household's food expenditures and then record food expenditures in a diary for two weeks. This unique experiment allows us to compare recall and diary based expenditure data collected from the same individuals. Under the assumption that the diary measures are "true" food consumption, this allows us to observe errors in measures of recall food consumption directly, and to study the properties of those errors. Under this assumption, measurement errors in recall food consumption data appear to be substantial, and they do not have many of the properties of classical measurement error. In particular, they are neither uncorrelated with true consumption nor conditionally homoscedastic. In addition, they are not well approximated by either a normal or log normal distribution. We also show evidence that diary measures are themselves imperfect, suffering for example, from "diary exhaustion". This suggests alternative interpretations for the differences between recall and diary consumption measures. Finally, we compare estimates of income and household size elasticities of per capita food consumption based on the two kinds of expenditure data and, in contrast to some previous work, find little difference between the two.
Download InfoIf 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.
Bibliographic InfoPaper provided by McMaster University in its series Social and Economic Dimensions of an Aging Population Research Papers with number 133.
Length: 46 pages
Date of creation: Oct 2005
Date of revision:
Contact details of provider:
Postal: 1280 Main Street West, Hamilton, Ontario, L8S 4M4
Phone: (905) 525-9140 ext. 22765
Fax: (905) 521-8232
Web page: http://www.mcmaster.ca/economics/
More information through EDIRC
expenditure; consumption; surveys;
Other versions of this item:
- Naeem Ahmed & Matthew Brzozowski & Thomas F. Crossley, 2005. "Measurement Errors in Recall Food Expenditure Data," Quantitative Studies in Economics and Population Research Reports 396, McMaster University.
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-11-19 (All new papers)
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.:
- Orazio P. Attanasio & Hamish Low, 2004.
"Estimating Euler Equations,"
Review of Economic Dynamics,
Elsevier for the Society for Economic Dynamics, vol. 7(2), pages 405-435, April.
- Deaton, A. & Paxson, C., 1997.
"Economies of Scale, Household Size, and the Demand for Food,"
178, Princeton, Woodrow Wilson School - Development Studies.
- Angus Deaton & Christina Paxson, 1998. "Economies of Scale, Household Size, and the Demand for Food," Journal of Political Economy, University of Chicago Press, vol. 106(5), pages 897-930, October.
- Altonji, Joseph G & Siow, Aloysius, 1987.
"Testing the Response of Consumption to Income Changes with (Noisy) Panel Data,"
The Quarterly Journal of Economics,
MIT Press, vol. 102(2), pages 293-328, May.
- Joseph G. Altonji & Aloysius Siow, 1986. "Testing the Response of Consumption to Income Changes with (Noisy) PanelData," NBER Working Papers 2012, National Bureau of Economic Research, Inc.
- Keen, Michael, 1986. "Zero Expenditures and the Estimation of Engel Curves," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(3), pages 277-86, July.
- Sule Alan & Orazio Attanasio & Martin Browning, 2005.
"Estimating Euler Equations with Noisy Data: Two Exact GMM Estimators,"
CAM Working Papers
2005-10, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
- Sule Alan & Orazio Attanasio & Martin Browning, 2009. "Estimating Euler equations with noisy data: two exact GMM estimators," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(2), pages 309-324, 03.
- Martin Browning & Sule Alan, 2006. "Estimating Euler Equations with Noisy Data: Two Exact GMM Estimators," Economics Series Working Papers 283, University of Oxford, Department of Economics.
- 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.
- Isabel McWhinney & Harold Champion, 1974. "The Canadian Experience With Recall And Diary Methods In Consumer Expenditure Surveys," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 2, pages 113-140 National Bureau of Economic Research, Inc.
- Martin Browning & Thomas F. Crossley & Gugliemo Weber, 2002.
"Asking Consumption Questions in General Purpose Surveys,"
CAM Working Papers
2002-05, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
- Martin Browning & Thomas F. Crossley & Guglielmo Weber, 2003. "Asking consumption questions in general purpose surveys," Economic Journal, Royal Economic Society, vol. 113(491), pages F540-F567, November.
- Martin Browning & Thomas F. Crossley & Guglielmo Weber, 2002. "Asking Consumption Questions in General Purpose Surveys," Social and Economic Dimensions of an Aging Population Research Papers 77, McMaster University.
- Amemiya, Yasuo, 1985. "Instrumental variable estimator for the nonlinear errors-in-variables model," Journal of Econometrics, Elsevier, vol. 28(3), pages 273-289, June.
- Sule Alan & Martin Browning, 2003. "Estimating Intertemporal Allocation Parameters using Simulated Residual Estimation," CAM Working Papers 2003-03, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
- 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.
- Gibson, John, 2002. " Why Does the Engel Method Work? Food Demand, Economies of Size and Household Survey Methods," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(4), pages 341-59, September.
- Barrett, Garry F. & Brzozowski, Matthew, 2010.
"Involuntary Retirement and the Resolution of the Retirement-Consumption Puzzle: Evidence from Australia,"
2010-10, University of Sydney, School of Economics.
- Garry F. Barrett & Matthew Brzozowski, 2010. "Involuntary Retirement and the Resolution of the Retirement-Consumption Puzzle: Evidence from Australia," Social and Economic Dimensions of an Aging Population Research Papers 275, McMaster University.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
If references are entirely missing, you can add them using this form.