IDEAS home Printed from https://ideas.repec.org/a/bes/jnlbes/v16y1998i1p52-61.html
   My bibliography  Save this article

Are Our Data Relevant to the Theory? The Case of Aggregate Consumption Expenditures, and Empirical Consumption and Savings

Author

Listed:
  • Slesnick, Daniel T

Abstract

Personal consumption expenditures (PCE) in the National Income and Product Accounts are often used to investigate whether the time series properties of consumption are consistent with the permanent-income/life-cycle hypotheses. In this article, the author addresses the issue of the general quality of the PCE data and its definitional consistency with the typical model of the intertemporal allocation of consumption. He finds that, in terms of the population coverage and the consumption concept, the raw PCE data are unsuitable for the analysis of the permanent-income/life-cycle hypotheses. More fundamentally, adjustments to the data to provide great consistency with the theory alter critical conclusions concerning the time series properties of consumption.

Suggested Citation

  • Slesnick, Daniel T, 1998. "Are Our Data Relevant to the Theory? The Case of Aggregate Consumption Expenditures, and Empirical Consumption and Savings," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(1), pages 52-61, January.
  • Handle: RePEc:bes:jnlbes:v:16:y:1998:i:1:p:52-61
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Martin Ravallion, 2003. "Measuring Aggregate Welfare in Developing Countries: How Well Do National Accounts and Surveys Agree?," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 645-652, August.
    2. Rosenberg, Joshua V. & Engle, Robert F., 2002. "Empirical pricing kernels," Journal of Financial Economics, Elsevier, vol. 64(3), pages 341-372, June.
    3. Alwyn Young, 2012. "The African Growth Miracle," NBER Working Papers 18490, National Bureau of Economic Research, Inc.
    4. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5, July-Dece.
    5. 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.
    6. William Passero & Thesia I. Garner & Clinton McCully, 2014. "Understanding the Relationship: CE Survey and PCE," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 181-203, National Bureau of Economic Research, Inc.
    7. Garner, Thesia I. & Short, Kathleen, 2009. "Accounting for owner-occupied dwelling services: Aggregates and distributions," Journal of Housing Economics, Elsevier, vol. 18(3), pages 233-248, September.
    8. Diego Romero-Avila, 2008. "A confirmatory analysis of the unit root hypothesis for OECD consumption-income ratios," Applied Economics, Taylor & Francis Journals, vol. 40(17), pages 2271-2278.
    9. Tomas Havranek & Anna Sokolova, 2016. "Do Consumers Really Follow a Rule of Thumb? Three Thousand Estimates from 130 Studies Say "Probably Not"," Working Papers 2016/08, Czech National Bank.
    10. Douglas Dacy & Fuad Hasanov, 2005. "The Rate of Interest or the Rate of Return: Estimating Intertemporal Elasticity of Substitution," Macroeconomics 0510012, University Library of Munich, Germany.
    11. Yukun Liu & Ben Matthies, 2022. "Long‐Run Risk: Is It There?," Journal of Finance, American Finance Association, vol. 77(3), pages 1587-1633, June.
    12. William Passero & Thesia I. Garner & Clinton McCully, 2014. "Understanding the Relationship: CE Survey and PCE," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 181-203, National Bureau of Economic Research, Inc.
    13. Bettina Aten & Eric Figueroa & Troy Martin, 2012. "How can the American Community Survey (ACS) be used to improve the imputation of Owner-Occupied Rent Expenditures?," BEA Working Papers 0080, Bureau of Economic Analysis.
    14. Wu, C.C. & Lee, Jack C., 2007. "Estimation of a utility-based asset pricing model using normal mixture GARCH(1,1)," Economic Modelling, Elsevier, vol. 24(2), pages 329-349, March.
    15. Auray, Stéphane, 2009. "Consommation, effet de substitution intertemporelle et formation des habitudes," L'Actualité Economique, Société Canadienne de Science Economique, vol. 85(4), pages 437-473, décembre.
    16. Alessandra Michelangeli & Eugenio Peluso & Alain Trannoy, 2011. "Detecting a change in wealth concentration without the knowledge of the wealth distribution," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(3), pages 373-391, September.
    17. Romero-Ávila, Diego, 2009. "Are OECD consumption-income ratios stationary after all?," Economic Modelling, Elsevier, vol. 26(1), pages 107-117, January.
    18. Julian Thimme, 2017. "Intertemporal Substitution In Consumption: A Literature Review," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 226-257, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bes:jnlbes:v:16:y:1998:i:1:p:52-61. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum (email available below). General contact details of provider: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.