Alternative Approaches To Testing Non-Nested Models With Autocorrelated Disturbances: An Application To Models Of U.S. Unemployment
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- McAleer, M. & Pesaran, M.H. & Bera, A.K., 1990. "Alternative approaches to testing non-nested models with autocorrelated disturbances : an application to models of U.S. unemployment," Discussion Paper 1990-4, Tilburg University, Center for Economic Research.
- Mcaleer, M. & Pesaran, M.H. & Bera, A.K., 1990. "Alternative Approaches To Testing Non-Nested Models With Autocorrelated Disturbances: An Application To Models Of U.S. Unemployment," Papers 10, California Los Angeles - Applied Econometrics.
- Mcaleer, M. & Pesaran, M.H. & Bera, A.K., 1990. "Alternative Approaches To Testing Non-Nested Models With Autocorrelated Disturbances: An Application To Models Of Us Unemployment," Cambridge Working Papers in Economics 9013, Faculty of Economics, University of Cambridge.
- McAleer, M. & Pesaran, M.H. & Bera, A.K., 1990. "Alternative approaches to testing non-nested models with autocorrelated disturbances : an application to models of U.S. unemployment," Other publications TiSEM 1db235af-e3ae-45a5-861d-8, Tilburg University, School of Economics and Management.
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Cited by:
- MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-146, March.
- McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
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linear models ; regression analysis ; empirical methods;All these keywords.
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