IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v32y2000i7p861-867.html
   My bibliography  Save this article

Model evaluation based on residual analysis of two similar models

Author

Listed:
  • Clive Granger
  • Yongil Jeon

Abstract

Models that may appear to have different properties may in fact produce residuals that differ only in subtle ways. By analysing the relationships between model residuals the problems in distinguishing between models can perhaps be discovered, as illustrated by the econometric examples considered. Regressing residuals gives the long-memory residual, which is the difference between two models, but this difference is very subtle and deeply hidden, which explains why the traditional standard technique does not find this difference.

Suggested Citation

  • Clive Granger & Yongil Jeon, 2000. "Model evaluation based on residual analysis of two similar models," Applied Economics, Taylor & Francis Journals, vol. 32(7), pages 861-867.
  • Handle: RePEc:taf:applec:v:32:y:2000:i:7:p:861-867
    DOI: 10.1080/000368400322192
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/000368400322192
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/000368400322192?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. Krasker, William S. & Pratt, John W., 1987. "Bounding the effects of proxy variables on instrumental-variables coefficients," Journal of Econometrics, Elsevier, vol. 35(2-3), pages 233-252, July.
    2. McCallum, Bennett T, 1986. "On "Real' and "Sticky-Price' Theories of the Business Cycle," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 18(4), pages 397-414, November.
    3. John Y. Campbell & N. Gregory Mankiw, 1987. "Are Output Fluctuations Transitory?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(4), pages 857-880.
    4. Gauger, Jean, 1989. "The generated regressor correction: Impacts upon inferences in hypothesis testing," Journal of Macroeconomics, Elsevier, vol. 11(3), pages 383-395.
    5. Perron, Pierre & Phillips, Peter C. B., 1987. "Does GNP have a unit root? : A re-evaluation," Economics Letters, Elsevier, vol. 23(2), pages 139-145.
    6. Rudebusch, Glenn D, 1992. "Trends and Random Walks in Macroeconomic Time Series: A Re-examination," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(3), pages 661-680, August.
    7. Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
    8. Hoffman, Dennis L, 1987. "Two-Step Generalized Least Squares Estimators in Multi-equation," The Review of Economics and Statistics, MIT Press, vol. 69(2), pages 336-346, May.
    9. Stock, James H., 1991. "Confidence intervals for the largest autoregressive root in U.S. macroeconomic time series," Journal of Monetary Economics, Elsevier, vol. 28(3), pages 435-459, December.
    10. 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.
    11. Gawon Yoon, 1997. "Further analysis of official and black market exchange rates in Brazil: data transformations and structural changes," Applied Financial Economics, Taylor & Francis Journals, vol. 7(3), pages 317-325.
    12. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-247, February.
    13. Swanson, Norman R. & White, Halbert, 1997. "Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models," International Journal of Forecasting, Elsevier, vol. 13(4), pages 439-461, December.
    14. Hatanaka, Michio, 1996. "Time-Series-Based Econometrics: Unit Roots and Co-integrations," OUP Catalogue, Oxford University Press, number 9780198773535, Decembrie.
    15. Cheung, Yin-Wong & Chinn, Menzie D, 1997. "Further Investigation of the Uncertain Unit Root in GNP," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 68-73, January.
    16. Unknown, 1986. "Letters," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 1(4), pages 1-9.
    17. Palm, Franz C. & Pfann, Gerard A., 1998. "Sources of asymmetry in production factor dynamics," Journal of Econometrics, Elsevier, vol. 82(2), pages 361-392, February.
    18. Ben-David, Dan & Papell, David H., 1995. "The great wars, the great crash, and steady state growth: Some new evidence about an old stylized fact," Journal of Monetary Economics, Elsevier, vol. 36(3), pages 453-475, December.
    19. Stock, James H. & Watson, Mark W., 1986. "Does GNP have a unit root?," Economics Letters, Elsevier, vol. 22(2-3), pages 147-151.
    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. Cheung, Yin-Wong & Chinn, Menzie D, 1997. "Further Investigation of the Uncertain Unit Root in GNP," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 68-73, January.
    2. Newbold, Paul & Leybourne, Stephen & Wohar, Mark E., 2001. "Trend-stationarity, difference-stationarity, or neither: further diagnostic tests with an application to U.S. Real GNP, 1875-1993," Journal of Economics and Business, Elsevier, vol. 53(1), pages 85-102.
    3. Paresh Kumar Narayan & Seema Narayan, 2010. "Are business cycles stationary fluctuations around a deterministic trend? Empirical evidence from 79 developing countries," International Review of Applied Economics, Taylor & Francis Journals, vol. 24(6), pages 649-664.
    4. Murray, Christian J. & Nelson, Charles R., 2000. "The uncertain trend in U.S. GDP," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 79-95, August.
    5. Paresh Narayan, 2008. "Is Asian per capita GDP panel stationary?," Empirical Economics, Springer, vol. 34(3), pages 439-449, June.
    6. Luis Gil-Alana, 2004. "Modelling the US real GNP with fractionally integrated techniques," Applied Economics, Taylor & Francis Journals, vol. 36(8), pages 873-879.
    7. West, Kenneth D, 1988. "On the Interpretation of Near Random-walk Behavior in GNP," American Economic Review, American Economic Association, vol. 78(1), pages 202-209, March.
    8. Gil-Alana, L. A. & Robinson, P. M., 1997. "Testing of unit root and other nonstationary hypotheses in macroeconomic time series," Journal of Econometrics, Elsevier, vol. 80(2), pages 241-268, October.
    9. John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots," NBER Chapters, in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220, National Bureau of Economic Research, Inc.
    10. Dezhbakhsh, Hashem & Levy, Daniel, 2022. "Interpolation and shock persistence of prewar U.S. macroeconomic time series: A reconsideration," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 213.
    11. Giorgio Canarella & Rangan Gupta & Stephen M. Miller & Tolga Omay, 2019. "Does U.K.’s Real GDP have a Unit Root? Evidence from a Multi-Century Perspective," Working Papers 201926, University of Pretoria, Department of Economics.
    12. Gilberto A. Libanio, 2004. "Unit roots in macroeconomic time series: a post Keynesian interpretation," Textos para Discussão Cedeplar-UFMG td233, Cedeplar, Universidade Federal de Minas Gerais.
    13. Dimitrios Vougas, 2001. "Real per capita GNP of USA: examination of the presence of a unit root via overdifferencing," Applied Economics Letters, Taylor & Francis Journals, vol. 8(6), pages 373-375.
    14. Diego Romero‐Ávila, 2007. "The Unit Root Hypothesis for Aggregate Output May Not Hold after All: New Evidence from a Panel Stationarity Test with Multiple Breaks," Southern Economic Journal, John Wiley & Sons, vol. 73(3), pages 642-658, January.
    15. Jae H. Kim & In Choi, 2017. "Unit Roots in Economic and Financial Time Series: A Re-Evaluation at the Decision-Based Significance Levels," Econometrics, MDPI, vol. 5(3), pages 1-23, September.
    16. Diego Romero-Ávila, 2012. "Multiple trend shifts and unit roots in US state income levels: implications for long-run growth," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(3), pages 641-661, June.
    17. Joseph G. Haubrich & Andrew W. Lo, "undated". "The Sources and Nature of Long-Term Memory in the Business Cycle," Rodney L. White Center for Financial Research Working Papers 5-89, Wharton School Rodney L. White Center for Financial Research.
    18. Gilberto Libanio, 2005. "Unit roots in macroeconomic time series: theory, implications, and evidence," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 15(3), pages 145-176, September.
    19. Shami, R.G. & Forbes, C.S., 2000. "A structural Time Series Model with Markov Switching," Monash Econometrics and Business Statistics Working Papers 10/00, Monash University, Department of Econometrics and Business Statistics.
    20. Burton, Diana M. & Love, H. Alan, 1996. "A Review of Alternative Expectations Regimes in Commodity Markets: Specification, Estimation, and Hypothesis Testing Using Structural Models," Agricultural and Resource Economics Review, Cambridge University Press, vol. 25(2), pages 213-231, October.

    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:applec:v:32:y:2000:i:7:p:861-867. 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/RAEC20 .

    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.