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On the Specification and Estimation of Large Scale Simultaneous Structural Models

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Modern Econometric Analysis

Abstract

This paper surveys the state of the art of the analysis and application of large scale structural simultaneous econometric models (SSEM). First, the importance of such models in empirical economics and especially for economic policy analysis is emphasized. We then focus on the methodological issues in the application of these models like questions about identification, nonstationarity of variables, adequate estimation of the parameters, and the inclusion of identities.

In the light of the latest development in econometrics, we identify the main unsolved problems in this area, recommend a combined data-theory-driven procedure for the specification of such models, and give suggestions how one could overcome some of the indicated problems.

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References

  • Amemiya, T. (1985). Advanced Econometrics. Harvard University Press, Cambridge.

    Google Scholar 

  • Bierens, H. (1997). Nonparametric cointegration analysis. Journal of Econometrics77 379–404.

    Article  MATH  MathSciNet  Google Scholar 

  • Blanchard, O. (2000). What do we know about macroeconomics that Fisher and Wicksell did not? NBER Working Paper 7550.

    Google Scholar 

  • Breitung, J. (1995). A simultaneous equation approach to cointegrated systems. Sonderforschungbereich 373 at Humboldt University, No. 45.

    Google Scholar 

  • Brown, B. W. (1983). The identification problem in systems nonlinear in the variables. Econometrica51 175–196.

    Article  MATH  MathSciNet  Google Scholar 

  • Brown, B. W. (1985). The identification problem in simultaneous equation models with identities. International Economic Review26 45–66.

    Article  MATH  ADS  MathSciNet  Google Scholar 

  • Charemza, W. (1997). New Directions in Econometric Practice: General to Specific Modeling, Cointegration, and Vector Autoregression. 2nd ed., Elgar, Cheltenham.

    Google Scholar 

  • Chen, P. (2001). Structural models: A critical review of the modeling procedure. Bielefeld University, Faculty of Economics, Pfingsttagung, DStatG.

    Google Scholar 

  • Chen, P. (2002). Structural models: A model selection approach. Bielefeld University, Faculty of Economics.

    Google Scholar 

  • Chen, P., Frohn, J., Lemke, W. (2005). Linear and nonlinear identities in simultaneous structural econometric models. Applied Economics Quarterly, (to appear).

    Google Scholar 

  • Chen, P., Hsiao, C. (2004a). Statistical modeling and complexity. Discussion Paper, Bielefeld University, Faculty of Economics.

    Google Scholar 

  • Chen, P., Hsiao, C. (2004b). Testing cointegration rank in large systems. Bielefeld University, Faculty of Economics.

    Google Scholar 

  • Chen, P., Hsiao, C. (2004c). Weak exogeneity in simultaneous equations models. Discussion Paper, Bielefeld University, Faculty of Economics.

    Google Scholar 

  • Choi, I. (2003). Subsampling vector autoregressive tests for linear constraints. Department of Economics, Hongkong University of Science and Technology.

    Google Scholar 

  • Chow, G. C. (1983). Econometrics. McGraw-Hill, New York.

    Google Scholar 

  • Deutsche Bundesbank (2000). Macro-Econometric Multi-Country Model: ME-MMOD

    Google Scholar 

  • Dhaene, G. (1997). Encompassing, Formulation, Properties and Testing. Springer, Berlin.

    MATH  Google Scholar 

  • Dhrymes, P. J. (1993). Topics in Advanced Econometrics. Springer, Berlin.

    Google Scholar 

  • Engle, R., Hendry, D.F., Richard, J.-F. (1983). Exogeneity. Econometrica51 277–304.

    Article  MATH  MathSciNet  Google Scholar 

  • Engle, R.F., Granger, W. J. (1987). Cointegration and error correction: Representation, estimation and testing. Econometrica55 251–276.

    Article  MATH  MathSciNet  Google Scholar 

  • Frohn, J. (1995). Grundausbildung in Ökonometrie. 2nd ed., de Gruyter, Berlin.

    MATH  Google Scholar 

  • Frohn, J. (1998). Zum Nutzen struktureller makroökonometrischer Modelle. Ifo Studien44 161–177.

    Google Scholar 

  • Frohn, J. (1999). Structural macroeconometric models versus vectorautoregressive models. Proceedings of the ISI World Congress, Helsinki.

    Google Scholar 

  • Granger, J. (1990). Modeling Economic Series. Clarendon, Oxford.

    Google Scholar 

  • Granger, J., Newbold, P. (1976). Spurious regression in econometrics. Journal of Econometrics2 111–120.

    Article  MathSciNet  Google Scholar 

  • Greene, W. (1993). Econometric Analysis. 2nd ed., Macmillan, New York.

    Google Scholar 

  • Habro, L, Johansen, S., Neilsen, B., Rahbek, A. (1998). Asymptotic inference on cointegrating rank in partial systems. Journal of Business & Economic Statistics16 388–399.

    Article  MathSciNet  Google Scholar 

  • Hamilton, J. D. (1994). Time Series Analysis. Princeton University Press, Princeton.

    MATH  Google Scholar 

  • Hausman, J. A. (1975). An instrumental variable approach to full information maximum likelihood estimators for linear and nonlinear econometric models. Econometrica43 723–753.

    Article  MathSciNet  Google Scholar 

  • Hendry, D. (1995). Dynamic Econometrics. Oxford University Press, Oxford.

    Book  MATH  Google Scholar 

  • Hendry, D. F., Krolzig, H. M. (2001). New development in automatic general to specific modeling. In Econometrics and Philosophy of Economics (B. P., Stigum, ed.), Princeton University Press, Princeton.

    Google Scholar 

  • Hendry, D. F., Mizon, G. E. (1990). Procrustean econometrics, or stretching and squeezing of data. Reprinted in Granger (1990), p. 121–136.

    Google Scholar 

  • Hendry, D. F., Mizon, G. E. (1993). Evaluating dynamic econometric models by encompassing the VAR. In Models, Methods and Applications of Econometrics (Phillips ed.), p. 272–300.

    Google Scholar 

  • Hsiao, C. (1997). Cointegration and dynamic simultaneous equations models. Econometrica65 647–670.

    Article  MATH  MathSciNet  Google Scholar 

  • Johansen, S. (1992). Testing weak exogeneity and the order of cointegration in U. K. money demand data. Journal of Policy Modeling14 313–334.

    Article  Google Scholar 

  • Johansen, S. (1995). Likelihood-Based Inference in Cointegrated Vector Autore-gressive Models. Oxford University Press, Oxford.

    Book  Google Scholar 

  • Judge, G., Griffiths, W., Hill, R. C., Lütkepohl, H., Lee, T. (1985). The Theory and Practice of Econometrics. 2nd ed., John Wiley & Sons, New York.

    Google Scholar 

  • Koopmans, T. C., Hood, W. C. (1953). The Estimation of Simultaneous Linear Economic Relationships. In Studies in Econometric Method (W. C. Hood, T. C. Koopmans (eds.), Chapter 6. Cowles Commission Monograph No. 14, Wiley, New York.

    Google Scholar 

  • Lucas, R. E. (1976). Econometric policy evaluation: A critique. Carnegie-Rochester Conference Series on Public Policy1 19–46.

    Article  MathSciNet  Google Scholar 

  • Maddala, G. (1988). Introduction to Econometrics. Macmillan, New York.

    Google Scholar 

  • Malinvaud, E. (1980). Statistical Methods of Econometrics. 3rd ed., North Holland, Amsterdam.

    MATH  Google Scholar 

  • Naylor, T. H., Seaks, T., Wichern, D. (1972). Box-Jenkins methods: An al-ternative to econometric models. International Statistical Review40 123–137.

    Article  Google Scholar 

  • Nelson, C. R. (1972). The prediction performance of the FRB-MIT-PENN model of US economy. American Economic Review62 902–917.

    Google Scholar 

  • Schmidt, P. (1976). Econometrics. Marcel Dekker, New York.

    MATH  Google Scholar 

  • Sims, C. (1980). Macroeconomics and reality. Econometrica48 1–48.

    Article  Google Scholar 

  • Sims, C. (1982). Policy analysis with econometric models. Brookings Papers on Economic Activity1 107–152.

    Article  Google Scholar 

  • Spanos, A. (1990). The simultaneous-equation model revisited. Journal of Econometrics44 87–105.

    Article  Google Scholar 

  • Stock J. H., Watson M. W. (1988). Testing for common trends. Journal of the American Statistical Association83 1097–1107.

    Article  MATH  MathSciNet  Google Scholar 

  • Theil, H. (1971). Principles of Econometrics. Wiley, New York.

    MATH  Google Scholar 

  • Winker, P., Maringer, D. (2004). Optimal lag structural selection in VEC-models. Conference of Computational Economics 2004, Amsterdam.

    Google Scholar 

  • Zellner, A. (1979). Statistical analysis of econometric models. Journal of the American Statistical Association74 628–643.

    Article  MathSciNet  Google Scholar 

  • Zellner, A., Palm, F. (1974). Time series analysis and simultaneous equations econometrics. Journal of Econometrics2 17–54.

    Article  MATH  Google Scholar 

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Chen, P., Frohn, J. (2006). On the Specification and Estimation of Large Scale Simultaneous Structural Models. In: Hübler, O., Frohn, J. (eds) Modern Econometric Analysis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32693-6_2

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