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Survey instruments and the reports of consumption expenditures: evidence from the consumer expenditure surveys

Listed author(s):
  • Erich Battistin
  • Mario Padula

type="main" xml:id="rssa12127-abs-0001"> The paper uses data from the consumer expenditure surveys to demonstrate that the mode of collection is important for the analysis of consumption data. We first show that population figures obtained with diaries markedly differ from figures obtained by using recall questions. We then exploit multiple measurements of food expenditure to identify the effects of the mode of collection on the distribution of reported consumption. Finally, we show how to combine information from multiple reports to obtain a single measure of total expenditure in consumer expenditure surveys. The paper concludes by offering guidelines for empirical analyses based on these data, and by providing an application of the methods proposed to the measurement of inequality and wellbeing.

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File URL: http://hdl.handle.net/10.1111/rssa.2016.179.issue-2
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Article provided by Royal Statistical Society in its journal Journal of the Royal Statistical Society: Series A (Statistics in Society).

Volume (Year): 179 (2016)
Issue (Month): 2 (February)
Pages: 559-581

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Handle: RePEc:bla:jorssa:v:179:y:2016:i:2:p:559-581
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  1. Firpo, Sergio Pinheiro & Ridder, Geert, 2010. "Bounds on functionals of the distribution treatment effects," Textos para discussão 201, FGV/EESP - Escola de Economia de São Paulo, Getulio Vargas Foundation (Brazil).
  2. Hong, Han & Tamer, Elie, 2003. "A simple estimator for nonlinear error in variable models," Journal of Econometrics, Elsevier, vol. 117(1), pages 1-19, November.
  3. Bruce D. Meyer & James X. Sullivan, 2009. "Five Decades of Consumption and Income Poverty," Working Papers 0907, Harris School of Public Policy Studies, University of Chicago.
  4. Ventura, Eva, 1994. "A note on measurement error and Euler equations : An alternative to log-linear approximations," Economics Letters, Elsevier, vol. 45(3), pages 305-308.
  5. James J. Heckman & Jeffrey Smith & Nancy Clements, 1997. "Making The Most Out Of Programme Evaluations and Social Experiments: Accounting For Heterogeneity in Programme Impacts," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 487-535.
  6. Joseph G. Altonji & Aloysius Siow, 1987. "Testing the Response of Consumption to Income Changes with (Noisy) Panel Data," The Quarterly Journal of Economics, Oxford University Press, vol. 102(2), pages 293-328.
  7. Orazio P. Attanasio & Guglielmo Weber, 1993. "Consumption Growth, the Interest Rate and Aggregation," Review of Economic Studies, Oxford University Press, vol. 60(3), pages 631-649.
  8. Erich Battistin, 2002. "Errors in Survey Reports of Consumption Expenditures," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C4-2, International Conferences on Panel Data.
  9. Kerwin Kofi Charles & Sheldon Danziger & Geng Li & Robert F. Schoeni, 2006. "Studying consumption with the Panel Study of Income Dynamics: comparisons with the Consumer Expenditure Survey and an application to the intergenerational transmission of well-being," Finance and Economics Discussion Series 2007-16, Board of Governors of the Federal Reserve System (U.S.).
  10. Richard Blundell & Luigi Pistaferri & Ian Preston, 2008. "Consumption Inequality and Partial Insurance," American Economic Review, American Economic Association, vol. 98(5), pages 1887-1921, December.
  11. Winter, Joachim, 0000. "Design effects in survey-based measures of household consumption," Sonderforschungsbereich 504 Publications 02-34, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
  12. Ernst R. Berndt & Charles R. Hulten, 2007. "Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches," NBER Books, National Bureau of Economic Research, Inc, number bern07-1, November.
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