IDEAS home Printed from https://ideas.repec.org/a/taf/irapec/v14y2000i1p113-121.html
   My bibliography  Save this article

Durability and Asymmetry in UK Consumers' Expenditure

Author

Listed:
  • Steven Cook

Abstract

Cook et al. (1998) have recently proposed the hypothesis of a positive relationship between the durability of consumers' expenditure and the asymmetric behaviour it exhibits. Some support was found for this hypothesis via the application of Sichel's (1993) univariate tests of business cycle asymmetry to quarterly data on the components of UK consumers' expenditure. In this paper this hypothesis is revisited, with the original analysis extended in a number of ways. First, the hypothesis is examined using annual data over a longer span than the original study, potentially allowing more business cycles to be captured. Secondly the effects of alternative means of detrending, a prerequisite for the analysis, are considered. Using durable, non-durable and total consumption data for the UK, the 'durability-asymmetry' hypothesis is found to hold. It is also found that a previously noted aggregation paradox disappears, but a new temporal aggregation paradox is uncovered. Significantly, the manner in which the data are detrended is also seen to influence results.

Suggested Citation

  • Steven Cook, 2000. "Durability and Asymmetry in UK Consumers' Expenditure," International Review of Applied Economics, Taylor & Francis Journals, vol. 14(1), pages 113-121.
    • Handle: RePEc:taf:irapec:v:14:y:2000:i:1:p:113-121
    DOI: 10.1080/026921700101515
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/026921700101515
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/026921700101515?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    3. Rossana, Robert J & Seater, John J, 1995. "Temporal Aggregation and Economic Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(4), pages 441-451, October.
    4. 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.
    5. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-858, May.
    6. 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.
    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. Canova, Fabio, 1994. "Detrending and turning points," European Economic Review, Elsevier, vol. 38(3-4), pages 614-623, April.
    9. Caballero, Ricardo J, 1995. "Near-Rationality, Heterogeneity, and Aggregate Consumption," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(1), pages 29-48, February.
    10. 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.
    11. Mills, Terence C, 1991. "Nonlinear Time Series Models in Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 5(3), pages 215-242.
    12. Douglas Gale, 1996. "Delay and Cycles," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 63(2), pages 169-198.
    13. King, Robert G. & Rebelo, Sergio T., 1993. "Low frequency filtering and real business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 17(1-2), pages 207-231.
    14. Newey, Whitney & West, Kenneth, 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.
    15. Avinash Dixit, 1992. "Investment and Hysteresis," Journal of Economic Perspectives, American Economic Association, vol. 6(1), pages 107-132, Winter.
    16. Mullineux, Andy & Peng, WenSheng, 1993. "Nonlinear Business Cycle Modelling," Journal of Economic Surveys, Wiley Blackwell, vol. 7(1), pages 41-83.
    17. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Steven Cook & Alan Speight, 2007. "Time Irreversibility in Consumers' Expenditure: An Analysis of Disaggregated Data," International Review of Applied Economics, Taylor & Francis Journals, vol. 21(4), pages 561-575.
    2. Steven Cook & Alan Speight, 2005. "A deeper look at asymmetries in UK consumers' expenditure: the nonparametric analysis of 100 disaggregates," Applied Economics, Taylor & Francis Journals, vol. 37(8), pages 893-900.
    3. Steven Cook, 2000. "An International Perspective on Asymmetries in Consumers' Expenditure," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 27(3), pages 283-293, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Steven Cook, 2000. "An International Perspective on Asymmetries in Consumers' Expenditure," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 27(3), pages 283-293, September.
    3. Hall, Viv B & Thomson, Peter, 2022. "A boosted HP filter for business cycle analysis: evidence from New Zealand’s small open economy," Working Paper Series 9473, Victoria University of Wellington, School of Economics and Finance.
    4. Chistiano, Lawrence J & den Haan, Wouter J, 1996. "Small-Sample Properties of GMM for Business-Cycle Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 309-327, July.
    5. Steven Cook, 2000. "The alternative asymmetric behaviour of Australian consumers' expenditure," Applied Economics Letters, Taylor & Francis Journals, vol. 7(6), pages 349-352.
    6. Steven Cook, 2000. "Seasonal adjustment and the univariate testing of asymmetry," Applied Economics Letters, Taylor & Francis Journals, vol. 7(10), pages 649-652.
    7. Hildegart Ahumada & María Lorena Garegnani, 2000. "Assesing HP Filter Performance for Argentina and U.S. Macro Aggregates," Journal of Applied Economics, Universidad del CEMA, vol. 3, pages 257-284, November.
    8. Craig Burnside & Martin Eichenbaum, 1994. "Small Sample Properties of Generalized Method of Moments Based Wald Tests," NBER Technical Working Papers 0155, National Bureau of Economic Research, Inc.
    9. Viv B. Hall & Peter Thomson, 2022. "A boosted HP filter for business cycle analysis:evidence from New Zealand's small open economy," CAMA Working Papers 2022-45, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. Ekaterini Panopoulou, 2005. "A Resolution of the Fisher Effect Puzzle: A Comparison of Estimators," The Institute for International Integration Studies Discussion Paper Series iiisdp067, IIIS.
    11. Wouter J. Den Haan & Andrew T. Levin, 1995. "Inferences from parametric and non-parametric covariance matrix estimation procedures," International Finance Discussion Papers 504, Board of Governors of the Federal Reserve System (U.S.).
    12. Nikolay Gospodinov & Ian Irvine, 2005. "A ‘long march’ perspective on tobacco use in Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 38(2), pages 366-393, May.
    13. Chen, Li & Gao, Jiti & Vahid, Farshid, 2022. "Global temperatures and greenhouse gases: A common features approach," Journal of Econometrics, Elsevier, vol. 230(2), pages 240-254.
    14. Robert A. Amano & Simon van Norden, 1995. "Unit Root Tests and the Burden of Proof," Econometrics 9502005, University Library of Munich, Germany.
    15. Héctor F. Salazar-Núñez & Francisco Venegas-Martínez & José Antonio Lozano-Díez, 2022. "Assessing the interdependence among renewable and non-renewable energies, economic growth, and CO2 emissions in Mexico," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 12850-12866, November.
    16. Woitek, Ulrich, 2003. "Height cycles in the 18th and 19th centuries," Economics & Human Biology, Elsevier, vol. 1(2), pages 243-257, June.
    17. Mertens, Elmar, 2012. "Are spectral estimators useful for long-run restrictions in SVARs?," Journal of Economic Dynamics and Control, Elsevier, vol. 36(12), pages 1831-1844.
    18. Michael Jansson & Marcelo J. Moreira, 2006. "Optimal Inference in Regression Models with Nearly Integrated Regressors," Econometrica, Econometric Society, vol. 74(3), pages 681-714, May.
    19. Härdle, Wolfgang & Horowitz, Joel L. & Kreiss, Jens-Peter, 2001. "Bootstrap methods for time series," SFB 373 Discussion Papers 2001,59, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    20. Firmin Doko Tchatoka & Qazi Haque, 2023. "On bootstrapping tests of equal forecast accuracy for nested models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1844-1864, November.

    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:taf:irapec:v:14:y:2000:i:1:p:113-121. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CIRA20 .

    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.