IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v15y1990i4p303-14.html
   My bibliography  Save this article

Intercountry Evidence on the Performance of the Simple Error Correction Mechanism Model of Consumption

Author

Listed:
  • Baltagi, Badi H
  • Mokhtari, Manouchehr

Abstract

This paper estimates a simple error correction mechanism (SECM) model of consumption a la Davidson, Hendry, Srba and Yeo (1978) for 13 OECD countries over the period 1951-82. This is done for each country separately as well as for the pooled data. The basic results of this study are the following: (1) The SECM model appears as an adequate approximation to the data generating process on an individual country basis as well as in a pooled context. (2) The pooled within estimator indicates a large and significant disequilibrium term while the between estimator indicates a small and insignificant disequilibrium term. This is consistent with the belief that the within estimator tend to yield short-run estimates while the between estimator tend to yield long-run estimates.

Suggested Citation

  • Baltagi, Badi H & Mokhtari, Manouchehr, 1990. "Intercountry Evidence on the Performance of the Simple Error Correction Mechanism Model of Consumption," Empirical Economics, Springer, vol. 15(4), pages 303-314.
  • Handle: RePEc:spr:empeco:v:15:y:1990:i:4:p:303-14
    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.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-355, December.
    2. David F. Hendry, 2013. "Econometric Modelling: The ‘Consumption Function’ In Retrospect," Scottish Journal of Political Economy, Scottish Economic Society, vol. 60(5), pages 495-522, November.
    3. Godfrey, Leslie G, 1978. "Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1293-1301, November.
    4. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    5. repec:bla:revinw:v:17:y:1971:i:4:p:341-52 is not listed on IDEAS
    6. Grayham E. Mizon & David F. Hendry, 1980. "An Empirical Application and Monte Carlo Analysis of Tests of Dynamic Specification," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 21-45.
    7. Singh, Balvir & Drost, Helmar, 1971. "An Alternative Econometric Approach to the Permanent Income Hypothesis: An International Comparison," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 326-334, November.
    8. Koskela, Erkki & Viren, Matti, 1984. "Testing the stability of the hall consumption function specification," Economics Letters, Elsevier, vol. 14(2-3), pages 289-293.
    9. Fuller, Wayne A. & Battese, George E., 1974. "Estimation of linear models with crossed-error structure," Journal of Econometrics, Elsevier, vol. 2(1), pages 67-78, May.
    10. Davidson, James E H, et al, 1978. "Econometric Modelling of the Aggregate Time-Series Relationship between Consumers' Expenditure and Income in the United Kingdom," Economic Journal, Royal Economic Society, vol. 88(352), pages 661-692, December.
    11. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

    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. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    2. Hendry, David F & Ericsson, Neil R, 1991. "An Econometric Analysis of U.K. Money Demand in 'Monetary Trends in the United States and the United Kingdom' by Milton Friedman and Anna Schwartz," American Economic Review, American Economic Association, vol. 81(1), pages 8-38, March.
    3. David F. Hendry, 2013. "Econometric Modelling: The ‘Consumption Function’ In Retrospect," Scottish Journal of Political Economy, Scottish Economic Society, vol. 60(5), pages 495-522, November.
    4. Bharat Barot & Zan Yang, 2004. "House Prices and Housing Investment in Sweden and the UK. Econometric analysis for the period 1970-1998," Macroeconomics 0409022, University Library of Munich, Germany.
    5. Barot, Bharat, 2002. "Growth and Business Cycles for the Swedish Economy 1963-1999," Working Papers 79, National Institute of Economic Research.
    6. David F. Hendry, 2013. "Retrospective on ‘Econometric Modelling: The Consumption Function in Retrospect’, Scottish Journal of Political Economy, 30 (1983), 193–220'," Scottish Journal of Political Economy, Scottish Economic Society, vol. 60(5), pages 523-525, November.
    7. Neil R. Ericsson & David F. Hendry & Hong-Anh Tran, 1993. "Cointegration, seasonality, encompassing, and the demand for money in the United Kingdom," International Finance Discussion Papers 457, Board of Governors of the Federal Reserve System (U.S.).
    8. Siddhartha Pradeep, 2022. "Role of monetary policy on CO2 emissions in India," SN Business & Economics, Springer, vol. 2(1), pages 1-33, January.
    9. Roberto Martínez-Espiñeira, 2007. "An Estimation of Residential Water Demand Using Co-Integration and Error Correction Techniques," Journal of Applied Economics, Taylor & Francis Journals, vol. 10(1), pages 161-184, May.
    10. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5.
    11. Jim Granato & William West, 1994. "Words And Deeds: Symbolic Politics And Decision Making At The Federal Reserve," Economics and Politics, Wiley Blackwell, vol. 6(3), pages 233-255, November.
    12. McAvinchey, Ian D., 2003. "Modelling and forecasting in an energy demand system with high and low frequency information," Economic Modelling, Elsevier, vol. 20(1), pages 207-226, January.
    13. Barot, Bharat & Yang, Zan, 2002. "House Prices and Housing Investment in Sweden and the United Kingdom: Econometric Analysis for the Period 1970-1998," Working Papers 80, National Institute of Economic Research.
    14. Faust, Jon & Whiteman, Charles H., 1997. "General-to-specific procedures for fitting a data-admissible, theory-inspired, congruent, parsimonious, encompassing, weakly-exogenous, identified, structural model to the DGP: A translation and criti," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 47(1), pages 121-161, December.
    15. Hendry, David F. & Ericsson, Neil R., 1991. "Modeling the demand for narrow money in the United Kingdom and the United States," European Economic Review, Elsevier, vol. 35(4), pages 833-881, May.
    16. Sugra Ingilab Humbatova & Natig Gadim-Oglu Hajiev, 2024. "Analysis of the Main Social Macroeconomic Indicators of the Population During The oil Boom in Azerbaijan," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 135-149, March.
    17. Jan F. Kiviet, 1986. "On the Rigour of Some Misspecification Tests for Modelling Dynamic Relationships," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(2), pages 241-261.
    18. Neil R. Ericsson, 1987. "Monte Carlo methodology and the finite sample properties of statistics for testing nested and non-nested hypotheses," International Finance Discussion Papers 317, Board of Governors of the Federal Reserve System (U.S.).
    19. Mizon, Grayham E., 1995. "A simple message for autocorrelation correctors: Don't," Journal of Econometrics, Elsevier, vol. 69(1), pages 267-288, September.
    20. de Oliveira, Erick Meira & Cunha, Felipe Arias Fogliano de Souza & Palazzi, Rafael Baptista & Klotzle, Marcelo Cabus & Maçaira, Paula Medina, 2020. "On the effects of uncertainty measures on sustainability indices: An empirical investigation in a nonlinear framework," International Review of Financial Analysis, Elsevier, vol. 70(C).

    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:spr:empeco:v:15:y:1990:i:4:p:303-14. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.