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Abstract

Household-level data on consumer expenditures underpin a wide range of empirical research in modern economics, spanning micro- and macroeconomics. This research includes work on consumption and saving, on poverty and inequality, and on risk sharing and insurance. We review different ways in which such data can be collected or captured: traditional detailed budget surveys, less onerous survey procedures that might be included in more general surveys, and administrative or process data. We discuss the advantages and difficulties of each approach and suggest directions for future investigation.

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2014-08-02
2024-04-26
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Literature Cited

  1. Aguiar M, Hurst E. 2007. Life-cycle prices and production. Am. Econ. Rev. 97:1533–59 [Google Scholar]
  2. Ahmed N, Brzozowski M, Crossley TF. 2006. Measurement errors in recall food consumption data. Work. Pap. W06/21, Inst. Fisc. Stud., London
  3. Angrisani M, Kapteyn A. 2014. Measuring household spending and payment habits: the role of “typical” and “specific” time frames in survey questions. See Carroll et al. 2014
  4. Attanasio O, Blow L, Hamilton R, Leicester A. 2009. Booms and busts: consumption, house prices and expectations. Economica 71:20–50 [Google Scholar]
  5. Attanasio O, Davis S. 1996. Relative wage movements and the distribution of consumption. J. Polit. Econ. 104:1227–62 [Google Scholar]
  6. Attanasio O, Deleire T. 2002. The effect of Individual Retirement Accounts on household consumption and national saving. Econ. J. 112:504–38 [Google Scholar]
  7. Attanasio O, Hurst E, Pistaferri L. 2014. The evolution of income, consumption, and leisure inequality in the US, 1980–2010. See Carroll et al. 2014
  8. Attanasio O, Pistaferri L. 2014. Consumption inequality over the last half century: some evidence using the new PSID consumption measure. Am. Econ. Rev. 104:122–26 [Google Scholar]
  9. Attanasio O, Weber G. 1993. Consumption growth, the interest rate and aggregation. Rev. Econ. Stud. 60:631–50 [Google Scholar]
  10. Attanasio O, Weber G. 1994. The UK consumption boom of the late 1980s: aggregate implications of microeconomic evidence. Econ. J. 104:1269–302 [Google Scholar]
  11. Baker SR. 2013. Debt and the consumption response to household income shocks. Unpublished manuscript, Stanford Univ., Stanford, CA
  12. Barrett G, Levell P, Milligan K. 2014. A comparison of micro and macro expenditure measures across countries using differing survey methods. See Carroll et al. 2014
  13. Battistin E, Miniaci R, Weber G. 2003. What do we learn from recall consumption data?. J. Hum. Resour. 38:354–85 [Google Scholar]
  14. Battistin E, Padula M. 2013. Survey instruments and the reports of consumption expenditures: evidence from the Consumer Expenditure Surveys. Unpublished manuscript, Univ. Padova, Univ. Venice
  15. Baugh B, Ben-David I, Park H. 2014. Disentangling financial constraints, precautionary savings, and myopia: household behavior surrounding federal tax returns. NBER Work. Pap. 19783
  16. Bee A, Meyer BD, Sullivan JX. 2014. The validity of consumption data: Are the Consumer Expenditure Interview and Diary Surveys informative? See Carroll et al. 2014
  17. Blundell R, Pistaferri L, Preston I. 2004. Imputing consumption in the PSID using demand estimates from the CEX. Work. Pap. W04/27, Inst. Fisc. Stud., London
  18. Blundell R, Pistaferri L, Preston I. 2008. Consumption inequality and partial insurance. Am. Econ. Rev. 98:1887–921 [Google Scholar]
  19. Bonke J, Browning M. 2009. The allocation of expenditures within the household: a new survey. Fisc. Stud. 30:461–81 [Google Scholar]
  20. Bottazzi R, Crossley TF, O’Dea C. 2008. UKHLS Innovation Panel consumption questions: preliminary analysis. Unpublished manuscript, Inst. Fisc. Stud., London
  21. Brewer M, Etheridge B, O’Dea C. 2013. Why are households that report the lowest incomes so well-off? Discuss. Pap. 736, Econ. Dep., Univ. Essex
  22. Broda C, Leibtag E, Weinstein DE. 2009. The role of prices in measuring the poor's living standards. J. Econ. Perspect. 23:277–97 [Google Scholar]
  23. Browning M, Crossley TF. 2000. Luxuries are easier to postpone: a proof. J. Polit. Econ. 108:1022–26 [Google Scholar]
  24. Browning M, Crossley TF. 2001. Unemployment insurance levels and consumption changes. J. Public Econ. 80:1–23 [Google Scholar]
  25. Browning M, Crossley TF. 2008. The long-run costs of job loss as measured by consumption changes. J. Econom. 145:109–20 [Google Scholar]
  26. Browning M, Crossley TF. 2009. Are two cheap, noisy measures better than one expensive, accurate one?. Am. Econ. Rev. 99:99–103 [Google Scholar]
  27. Browning M, Crossley TF, Weber G. 2003. Asking consumption questions in general purpose surveys. Econ. J. 113:F540–67 [Google Scholar]
  28. Browning M, Gørtz M, Leth-Petersen S. 2013. Housing wealth and consumption: a micro panel study. Econ. J. 123:401–28 [Google Scholar]
  29. Browning M, Leth-Petersen S. 2003. Imputing consumption from income and wealth information. Econ. J. 113:F282–301 [Google Scholar]
  30. Brzozowski M, Crossley TF. 2011. Measuring the well-being of the poor with income or consumption: a Canadian perspective. Can. J. Econ. 44:88–106 [Google Scholar]
  31. Burke LE, Wang J, Sevick MA. 2011. Self-monitoring in weight loss: a systematic review of the literature. J. Am. Diet. Assoc. 111:92–102 [Google Scholar]
  32. Campbell JY, Cocco JF. 2007. How do house prices affect consumption? Evidence from micro data. J. Monet. Econ. 3:591–621 [Google Scholar]
  33. Card D, Chetty R, Feldstein M, Saez E. 2010. Expanding access to administrative data for research in the United States. White Pap., Natl. Sci. Found., Arlington, VA
  34. Carroll C, Crossley TF, Sabelhaus J. 2014. Improving the Measurement of Consumer Expenditures NBER Ser. Stud. Income Wealth. Cambridge, MA: Natl. Bur. Econ. Res. In press
  35. Cherchye L, De Rock B, Vermeulen F. 2012. Married with children: a collective labor supply model with detailed time use and intrahousehold expenditure information. Am. Econ. Rev. 102:3377–405 [Google Scholar]
  36. Comerford D, Delaney L, Harmon C. 2009. Experimental tests of survey responses to expenditure questions. Fisc. Stud. 30:419–33 [Google Scholar]
  37. Crossley TF, de Bresser J, Delaney L, Winter J. 2014. Can survey participation alter household saving behaviour? Unpublished manuscript, Inst. Fisc. Stud., London
  38. Crossley TF, Winter JK. 2014. Asking households about expenditures: What have we learned? See Carroll et al. 2014
  39. d’Ardenne J, Blake M. 2012. Developing expenditure questions: findings from focus groups. Work. Pap. W12/18, Inst. Fisc. Stud., London
  40. Deaton A. 1992. Understanding Consumption New York: Oxford Univ. Press
  41. Deaton A, Grosh M. 2000. Consumption. Designing Household Survey Questionnaires for Developing Countries: Lessons from Ten Years of LSMS Experience Grosh M, Glewwe P. 91–133 Washington, DC: World Bank [Google Scholar]
  42. Deaton A, Kozel V. 2005. Data and dogma: the great Indian poverty debate. World Bank Res. Obs. 20:177–99 [Google Scholar]
  43. Edgar J. 2009. What does ‘usual’ usually mean? Unpublished manuscript, Bur. Labor Stat., Washington, DC
  44. Edgar J, Nelson DV, Paszkiewicz L, Safir A. 2013. The Gemini Project to redesign the Consumer Expenditure Survey: redesign proposal. Rep., Bur. Labor Stat., Washington, DC
  45. Einav L, Levin JD. 2013. The data revolution and economic analysis. NBER Work. Pap. 19035
  46. Fricker S, Kopp B, To N. 2014. Exploring a balance edit approach in the Consumer Expenditure Quarterly Interview Survey. See Carroll et al. 2014
  47. Gieseman R. 1987. The Consumer Expenditure Survey: quality control by comparative analysis. Mon. Labor Rev. 1987:38–14 [Google Scholar]
  48. Goldenberg K, Ryan J. 2009. Evolution and change in the Consumer Expenditure Surveys: adapting to meet changing needs. Unpublished manuscript, Bur. Labor Stat
  49. Gray M, Constantine R, d’Ardenne J, Blake M, Uhrig SCN. 2008. Cognitive testing of Understanding Society: the UK Household Longitudinal Study Questionnaire. Underst. Soc. Work. Pap. Ser. 2008-04, Univ. Essex
  50. Gray PG. 1955. The memory factor in social surveys. J. Am. Stat. Assoc. 50:344–63 [Google Scholar]
  51. Griffith R, Leibtag E, Leicester A, Nevo A. 2009. Consumer shopping behavior: How much do consumers save?. J. Econ. Perspect. 23:299–120 [Google Scholar]
  52. Grootaert C. 1986. Use of multiple diaries in a household expenditure survey in Hong Kong. J. Am. Stat. Assoc. 81:938–44 [Google Scholar]
  53. Guvenen F. 2007. Learning your earning: Are labor income shocks really very persistent?. Am. Econ. Rev. 97:687–712 [Google Scholar]
  54. Heffetz O, Ligett K. 2013. Privacy and data-based research. NBER Work. Pap. 19433
  55. Hurd M, McFadden D, Chand H, Gan L, Merrill A, Roberts M. 1998. Consumption and savings balances of the elderly: experimental evidence on survey response bias. Frontiers in the Economics of Aging Wise D. 353–87 Chicago: Univ. Chicago Press [Google Scholar]
  56. Hurd M, Rohwedder S. 2009. Methodological innovations in collecting spending data: the HRS Consumption and Activities Mail Survey. Fisc. Stud. 30:435–59 [Google Scholar]
  57. Hurd M, Rohwedder S. 2010. The effects of the financial crisis and the great recession on American households. NBER Work. Pap. 16407
  58. Hurd MD, Rohwedder S. 2014. Measuring total household spending in a monthly Internet survey: evidence from American Life Panel. See Carroll et al. 2014
  59. Jacobs E, Shipp S. 1993. A history of the U.S. Consumer Expenditure Survey: 1935–36 to 1988–89. J. Econ. Soc. Meas. 19:59–96 [Google Scholar]
  60. Jolliffe D. 2001. Measuring absolute and relative poverty: the sensitivity of estimated household consumption to survey design. J. Econ. Soc. Meas. 27:1–23 [Google Scholar]
  61. Kapteyn A, Ypma JY. 2007. Measurement error and misclassification: a comparison of survey and administrative data. J. Labor Econ. 25:513–51 [Google Scholar]
  62. Kemsley WFF, Nicholson JL. 1960. Some experiments in methods of conducting family expenditure surveys. J. R. Stat. Soc. 123:307–28 [Google Scholar]
  63. Kemsley WFF, Redpath RU, Holms M. 1980. Family Expenditure Survey Handbook London: Off. Popul. Surv.
  64. Koijen R, Nieuwerburgh SV, Vestman R. 2014. Judging the quality of survey data by comparison with “truth” as measured by administrative records: evidence from Sweden. See Carroll et al. 2014
  65. Kreiner CT, Lassen DD, Leth-Petersen S. 2014. Measuring the accuracy of survey responses using administrative register data: evidence from Denmark. See Carroll et al. 2014
  66. Krueger D, Perri F, Pistaferri L, Violante GL. 2010. Cross-sectional facts for macroeconomists. Rev. Econ. Dyn. 13:1–14 [Google Scholar]
  67. Kreuter F, Eckman S, Jaeckle A, Kirchner A, Presser S, Tourangeau R. 2012. Mechanisms of misreporting to filter questions. Presented at AAOPR Annu. Conf., 67th, Orlando, FL
  68. Kreuter F, McCulloch S, Presser S, Tourangeau R. 2011. The effects of asking filter questions in interleafed versus grouped format. Sociol. Methods Res. 40:88–104 [Google Scholar]
  69. Kuchler T. 2013. Sticking to your plan: hyperbolic discounting and credit card debt paydown. Unpublished manuscript, Stanford Univ
  70. Leicester A. 2014. Using scanner data to construct detailed weights for certain categories of spending. See Carroll et al. 2014
  71. Li G, Schoeni RF, Danziger S, Charles KK. 2010. New expenditure data in the PSID: comparisons with the CE. Mon. Labor Rev. 133:29–39 [Google Scholar]
  72. Manski CF, Tamer E. 2002. Inference on regressions with interval data on a regressor or outcome. Econometrica 70:519–46 [Google Scholar]
  73. McKenzie J. 1983. The accuracy of telephone call data collected by diary methods. J. Mark. Res. 20:417–27 [Google Scholar]
  74. McWhinney I, Champion H. 1974. The Canadian experience with recall and diary methods in consumer expenditure surveys. Annals of Economic and Social Measurement Vol. 3 Berg SV. 113–140 Cambridge, MA: Natl. Bur. Econ. Res. [Google Scholar]
  75. Meghir C, Robin JM. 1992. Frequency of purchase and the estimation of demand systems. J. Econom. 53:53–85 [Google Scholar]
  76. Meijer E, Rohwedder S, Wansbeek T. 2011. Measurement error in earnings data: using a mixture model approach to combine survey and register data. J. Bus. Econ. Stat. 30:191–201 [Google Scholar]
  77. Meyer BD, Sullivan JX. 2003. Measuring the well-being of the poor using income and consumption. J. Hum. Resour. 38:S1180–220 [Google Scholar]
  78. Meyer BD, Sullivan JX. 2004. The effects of welfare and tax reform: the material well-being of single mothers in the 1980s and 1990s. J. Public Econ. 88:1387–420 [Google Scholar]
  79. Meyer BD, Sullivan JX. 2008. Changes in the consumption, income, and well-being of single mother headed families. Am. Econ. Rev. 98:2221–41 [Google Scholar]
  80. Meyer BD, Sullivan JX. 2011. Viewpoint: further results on measuring the well-being of the poor using income and consumption. Can. J. Econ. 44:52–87 [Google Scholar]
  81. Meyer B, Sullivan J. 2012. Winning the war: poverty from the great society to the great recession. Brookings Pap. Econ. Act. 45:133–200 [Google Scholar]
  82. Natl. Res. Counc 2013. Measuring What We Spend: Toward a New Consumer Expenditure Survey Washington, DC: Natl. Acad. Press
  83. Neter J, Waksberg J. 1964. A study of response errors in expenditures data from household interviews. J. Am. Stat. Assoc. 59:18–55 [Google Scholar]
  84. Palumbo MG. 1999. Uncertain medical expenses and precautionary saving near the end of the life cycle. Rev. Econ. Stud. 66:395–421 [Google Scholar]
  85. Parker J, Souleles NS, Johnson DS, McClelland R. 2013. Consumer spending and the economic stimulus payments of 2008. Am. Econ. Rev. 103:2530–53 [Google Scholar]
  86. Pradhan M. 2009. Welfare analysis with a proxy consumption measure: evidence from a repeated experiment in Indonesia. Fisc. Stud. 30:391–417 [Google Scholar]
  87. Pudney S. 2007. Heaping and leaping: survey response behavior and the dynamics of self-reported consumption expenditure. Unpublished manuscript, Univ. Essex
  88. Rubin DC, Baddeley AD. 1989. Telescoping is not time compression: a model of the dating of autobiographical events. Mem. Cognit. 17:653–61 [Google Scholar]
  89. Sabelhaus J, Groen JA. 2000. Can permanent-income theory explain cross-sectional consumption patterns?. Rev. Econ. Stat. 82:431–38 [Google Scholar]
  90. Sabelhaus J, Johnson D, Ash S, Swanson D, Garner T et al. 2014. Is the Consumer Expenditure Survey representative by income? See Carroll et al. 2014
  91. Safir A, Goldenberg KL. 2008. Mode effects in a survey of consumer expenditures. Unpublished manuscript, Bur. Labor Stat., Washington, DC. http://www.bls.gov/cex/cesrvymethssafir1.pdf
  92. Sakshaug JW, Kreuter F. 2012. Assessing the magnitude of non-consent biases in linked survey and administrative data. Surv. Res. Methods 6:113–22 [Google Scholar]
  93. Sakshaug JW, Couper MP, Ofstedal MB, Weir DR. 2012. Linking survey and administrative records: mechanisms of consent. Sociol. Methods Res. 41:535–69 [Google Scholar]
  94. Silberstein AR. 1990. First wave effects in the U.S. Consumer Expenditure Interview Survey. Surv. Methodol. 16:293–304 [Google Scholar]
  95. Silberstein AR, Jacob CA. 1989. Symptoms of repeated interview effects in the Consumer Expenditure Interview Survey. Panel Surveys Kasprzyk D, Duncan G, Kalton G, Singh MP. 289–303 New York: Wiley [Google Scholar]
  96. Silberstein AR, Scott S. 1991. Expenditure diary surveys and their associated errors. Measurement Errors in Surveys Biermer PP, Groves RM, Lyberg LE, Mathiowetz NA, Sudman S. 303–26 New York: Wiley [Google Scholar]
  97. Skinner J. 1987. A superior measure of consumption from the Panel Study of Income Dynamics. Econ. Lett. 23:213–16 [Google Scholar]
  98. Stat. Can 1999. 1996 Food Expenditure Survey, public-use microdata files. Income Stat. Div., Stat. Can., Ottawa
  99. Stephens M. 2001. The long-run consumption effects of earning shocks. Rev. Econ. Stat. 83:28–36 [Google Scholar]
  100. Stephens M. 2003. “3rd of tha month”: Do Social Security recipients smooth consumption between checks?. Am. Econ. Rev. 93:406–22 [Google Scholar]
  101. Stephens M Jr. 2006. Paycheque receipt and the timing of consumption. Econ. J. 116:680–701 [Google Scholar]
  102. Sudman S, Bradburn NM, Schwarz N. 1996. Thinking About Answers San Francisco: Jossey-Bass
  103. Tanner S. 1998. How much do consumers spend? Comparing the FES and National Accounts. How Reliable Is the Family Expenditure Survey? Banks J, Johnson P. 67–121 London: Inst. Fisc. Stud. [Google Scholar]
  104. Tourangeau R, Rips LJ, Rasinski K. 2000. The Psychology of Survey Response Cambridge, UK: Cambridge Univ. Press
  105. van Soest A, Hurd M. 2008. A test for anchoring and yea-saying in experimental consumption data. J. Am. Stat. Assoc. 103:126–36 [Google Scholar]
  106. Velilla P. 2014. Micro and macro data on household income and wealth: mapping the Spanish Survey of Household Finances (EFF) with other statistical sources. Doc. Ocas., Banco Esp., Madrid
  107. Winter J. 2002. Bracketing effects in categorized survey questions and the measurement of economic quantities. Discuss. Pap. 02-35, Univ. Mannheim
  108. Winter J. 2004. Response bias in survey-based measures of household consumption. Econ. Bull. 3:91–12 [Google Scholar]
  109. Ziliak JP. 1998. Does the choice of consumption measure matter? An application to the permanent-income hypothesis. J. Monet. Econ. 41:201–16 [Google Scholar]
  110. Zwane A, Zinman J, Dusen EV, Pariente W, Null C et al. 2011. Being surveyed can change later behavior and related parameter estimates. Proc. Natl. Acad. Sci. USA 108:1821–26 [Google Scholar]
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