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The Construction of U.S. Consumption Data: Some Facts and Their Implications for Empirical Work

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Wilcox, David W

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Abstract

This paper investigates the sources and methods used to construct the aggregate data on consumer spending in the United States, searching especially for imperfections that may have implications for the outcome of empirical work. The paper identifies two such imperfections: sampling error and compositional error. It then presents several examples intended to illustrate that these imperfections may be empirically important and that appropriate remedies for them often can be devised. The paper concludes by suggesting some guidelines of empirical practice. Copyright 1992 by American Economic Association.

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Publisher Info
Article provided by American Economic Association in its journal American Economic Review.

Volume (Year): 82 (1992)
Issue (Month): 4 (September)
Pages: 922-41
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Handle: RePEc:aea:aecrev:v:82:y:1992:i:4:p:922-41

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  1. Joshua Rosenberg & Robert F. Engle, 2000. "Empirical Pricing Kernels," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-014, New York University, Leonard N. Stern School of Business-. [Downloadable!]
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  2. Martin Sommer & Christopher Carroll, 2004. "Epidemiological expectations and consumption dynamics," Money Macro and Finance (MMF) Research Group Conference 2003 92, Money Macro and Finance Research Group. [Downloadable!]
  3. Karen E. Dynan, 2000. "Habit Formation in Consumer Preferences: Evidence from Panel Data," American Economic Review, American Economic Association, vol. 90(3), pages 391-406, June. [Downloadable!] (restricted)
  4. Erich Battistin, 2003. "Errors in survey reports of consumption expenditures," IFS Working Papers W03/07, Institute for Fiscal Studies. [Downloadable!]
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  5. Michael Brandt & John Cochrane & Pedro Santa-Clara, 2001. "International Risk Sharing is Better Than You Think (or Exchange Rates are Much Too Smooth!," University of California at Los Angeles, Anderson Graduate School of Management 1015, Anderson Graduate School of Management, UCLA. [Downloadable!]
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  6. Sydney Ludvigson, 1996. "Consumer sentiment and household expenditure: reevaluating the forecasting equations," Research Paper 9636, Federal Reserve Bank of New York. [Downloadable!]
  7. Michele Boldrin & Lawrence J. Christiano & Jonas D. M. Fisher, 2000. "Habit persistence, asset returns and the business cycle," Staff Report 280, Federal Reserve Bank of Minneapolis. [Downloadable!]
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  8. Monique C. Ebell, 2000. "Why Are Asset Returns more Volatile During Recessions? A Theoretical Examination," Econometric Society World Congress 2000 Contributed Papers 1554, Econometric Society. [Downloadable!]
  9. Joshua Rosenberg, 1999. "Empirical Tests of Interest Rate Model Pricing Kernels," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-015, New York University, Leonard N. Stern School of Business-. [Downloadable!]
  10. Jason Bram & Sydney Ludvigson, 1997. "Does consumer confidence forecast household expenditure?: A sentiment index horse race," Research Paper 9708, Federal Reserve Bank of New York. [Downloadable!]
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  11. Martha Starr-McCluer, 2000. "The effects of weather on retail sales," Finance and Economics Discussion Series 2000-08, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
  12. Michele Boldrin & Lawrence J. Christiano & Jonas D.M. Fisher, 1995. "Asset Pricing Lessons for Modeling Business Cycles," NBER Working Papers 5262, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  13. Jeffrey C. Fuhrer, 2000. "Habit Formation in Consumption and Its Implications for Monetary-Policy Models," American Economic Review, American Economic Association, vol. 90(3), pages 367-390, June. [Downloadable!] (restricted)
  14. repec:bep:macadv:v:7:y:2007:i:1:p:1444-1444 is not listed on IDEAS
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