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Cyclicality and Durability: Evidence from U.S. Consumers' Expediture

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  • Steven Cook

    (Coventry Business School)

Abstract

In this paper three hypotheses concerning the cyclicality of U.S. consumers' expenditure are proposed. These hypotheses are based upon the distinction between expenditure on durable and non-durable goods. It is argued that durability will lead to increased cyclical sensitivity and that this increased cyclicality will be of an asymmetric nature. The asymmetric adjustment will be of the form of decreases in expenditure on durable goods being more extensive and more rapid during recessionary phases of the business cycle than corresponding increases during expansionary periods. These hypotheses are evaluated using U.S. data on consumer durables and non-durables over the period 1959-1998. Via the use of the Hodrick-Prescott (1997) filter the cyclical elements of these series are derived and subjected to Sichel's (1993) univariate tests of business cycle asymmetry. Overwhelming support is found for all of the hypotheses proposed.

Suggested Citation

  • Steven Cook, 1999. "Cyclicality and Durability: Evidence from U.S. Consumers' Expediture," Journal of Applied Economics, Universidad del CEMA, vol. 2, pages 299-310, November.
    • Handle: RePEc:cem:jaecon:v:2:y:1999:n:2:p:299-310
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    References listed on IDEAS

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    1. Sichel, Daniel E, 1993. "Business Cycle Asymmetry: A Deeper Look," Economic Inquiry, Western Economic Association International, vol. 31(2), pages 224-236, April.
    2. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    3. Caballero, Ricardo J, 1993. "Durable Goods: An Explanation for Their Slow Adjustment," Journal of Political Economy, University of Chicago Press, vol. 101(2), pages 351-384, April.
    4. Douglas Gale & Leslie J. Reinhorn, 1998. "Delay and Cycles: Erratum," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 357-359.
    5. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
    6. repec:bla:econom:v:62:y:1995:i:245:p:1-27 is not listed on IDEAS
    7. Harvey, A C & Jaeger, A, 1993. "Detrending, Stylized Facts and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(3), pages 231-247, July-Sept.
    8. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-858, May.
    9. Andrews, Donald W K & Monahan, J Christopher, 1992. "An Improved Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimator," Econometrica, Econometric Society, vol. 60(4), pages 953-966, July.
    10. Mills, Terence C, 1991. "Nonlinear Time Series Models in Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 5(3), pages 215-242.
    11. Whitney Newey & Kenneth West, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    12. Cogley, Timothy & Nason, James M., 1995. "Effects of the Hodrick-Prescott filter on trend and difference stationary time series Implications for business cycle research," Journal of Economic Dynamics and Control, Elsevier, vol. 19(1-2), pages 253-278.
    13. Darby, Michael R, 1972. "The Allocation of Transitory Income Among Consumers' Assets," American Economic Review, American Economic Association, vol. 62(5), pages 928-941, December.
    14. Mullineux, Andy & Peng, WenSheng, 1993. "Nonlinear Business Cycle Modelling," Journal of Economic Surveys, Wiley Blackwell, vol. 7(1), pages 41-83.
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    Cited by:

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    2. Cook, Steven, 2003. "A Note on Business Cycle Non-Linearity in U. S. Consumption," Journal of Applied Economics, Universidad del CEMA, vol. 6(2), pages 1-7, November.
    3. Lamey, L. & Deleersnyder, B. & Dekimpe, M.G. & Steenkamp, J-B.E.M., 2005. "The Impact of Business-Cycle Fluctuations on Private-Label Share," ERIM Report Series Research in Management ERS-2005-061-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. Marnik G. Dekimpe & Barbara Deleersnyder, 2018. "Business cycle research in marketing: a review and research agenda," Journal of the Academy of Marketing Science, Springer, vol. 46(1), pages 31-58, January.
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    Keywords

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    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth

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