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Overview Of Nonlinear Macroeconometric Empirical Models

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  • Granger, Clive W.J.

Abstract

A survey of nonlinear multivariate macro empirical models is attempted. Although theory may suggest that nonlinearity is to be expected, empirical studies have difficulty in discovering strong consistent effects. Regime switching techniques appear to be the most successful and evidence of nonlinearity is most found for interest rates. Most of the studies emphasize model fitting rather than model evaluation, which limits their usefulness.

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  • Granger, Clive W.J., 2001. "Overview Of Nonlinear Macroeconometric Empirical Models," Macroeconomic Dynamics, Cambridge University Press, vol. 5(4), pages 466-481, September.
    • Handle: RePEc:cup:macdyn:v:5:y:2001:i:04:p:466-481_02
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    Cited by:

    1. Singh, Tarlok, 2014. "On the regime-switching and asymmetric dynamics of economic growth in the OECD countries," Research in Economics, Elsevier, vol. 68(2), pages 169-192.
    2. Helmut Lütkepohl, 2013. "Vector autoregressive models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 6, pages 139-164, Edward Elgar Publishing.
    3. Siliverstovs, B. & van Dijk, D.J.C., 2003. "Forecasting industrial production with linear, nonlinear, and structural change models," Econometric Institute Research Papers EI 2003-16, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Rapach, David E. & Wohar, Mark E., 2006. "The out-of-sample forecasting performance of nonlinear models of real exchange rate behavior," International Journal of Forecasting, Elsevier, vol. 22(2), pages 341-361.
    5. Chihwa Kao & Yongmiao Hong, 2004. "Detecting Neglected Nonlinearity in Dynamic Panel Data with Time-Varying Conditional Heteroskedasticity," Econometric Society 2004 Far Eastern Meetings 753, Econometric Society.
    6. Gerdesmeier, Dieter & Reimers, Hans-Eggert & Roffia, Barbara, 2023. "Investigating the inflation-output-nexus for the euro area: Old questions and new results," Wismar Discussion Papers 01/2023, Hochschule Wismar, Wismar Business School.
    7. Marisa Faggini, 2011. "Chaotic Time Series Analysis in Economics: Balance and Perspectives," Working papers 25, Former Department of Economics and Public Finance "G. Prato", University of Torino.
    8. Chollete, Loran & Ning, Cathy, 2009. "The Dependence Structure of Macroeconomic Variables in the US," UiS Working Papers in Economics and Finance 2009/31, University of Stavanger.
    9. Saikkonen, Pentti, 2005. "Stability results for nonlinear error correction models," Journal of Econometrics, Elsevier, vol. 127(1), pages 69-81, July.
    10. Boysen-Hogrefe, Jens & Jannsen, Nils & Meier, Carsten-Patrick, 2016. "A Note On Banking And Housing Crises And The Strength Of Recoveries," Macroeconomic Dynamics, Cambridge University Press, vol. 20(7), pages 1924-1933, October.
    11. Chollete, Loran & Ning, Cathy, 2010. "Asymmetric Dependence in US Financial Risk Factors?," UiS Working Papers in Economics and Finance 2011/2, University of Stavanger.
    12. Aslanidis, Nektarios & Kouretas, Georgios P., 2005. "Testing for two-regime threshold cointegration in the parallel and official markets for foreign currency in Greece," Economic Modelling, Elsevier, vol. 22(4), pages 665-682, July.
    13. Chollete, Loran & Ning, Cathy, 2012. "Asymmetric Dependence in the US Economy: Application to Money and the Phillips Curve," UiS Working Papers in Economics and Finance 2012/1, University of Stavanger.
    14. Helmut Luetkepohl, 2007. "Econometric Analysis with Vector Autoregressive Models," Economics Working Papers ECO2007/11, European University Institute.
    15. Judge, Amrit & Reancharoen, Tipprapa, 2014. "An empirical examination of the lead–lag relationship between spot and futures markets: Evidence from Thailand," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 335-358.
    16. Mark P. Taylor, 2004. "Estimating structural macroeconomic shocks through long-run recursive restrictions on vector autoregressive models: the problem of identification," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(3), pages 229-244.

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