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Building a structural model: parameterization and structurality

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  • MOUCHART, M.
  • ORSI, R.

Abstract

A specific concept of structural model is used as a background for discussing the structurality of its parameterization. Conditions for a structural model to be also causal are examined. Difficulties and pitfalls arising from the parameterization are analyzed. In particular, pitfalls when considering alternative parameterizations of a same model are shown to have lead to ungrounded conclusions in the literature. Discussion of observationally equivalent models related to different economic mechanisms are used to make clear the connection between an economicall meaningful parameterization and an economically meaningful decomposition of a complex model. The design of economic policy is used for drawing some practical implications of the proposed analysis.
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Suggested Citation

  • Mouchart, M. & Orsi, R., 2015. "Building a structural model: parameterization and structurality," LIDAM Discussion Papers ISBA 2015022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  • Handle: RePEc:aiz:louvad:2015022
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    1. J.‐P. Florens & M. Mouchart, 1985. "Conditioning In Dynamic Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 6(1), pages 15-34, January.
    2. James J. Heckman, 2008. "Econometric Causality," International Statistical Review, International Statistical Institute, vol. 76(1), pages 1-27, April.
    3. Genberg, Hans, 1972. "Constraints on the Parameters in Two Simple Simultaneous Equation Models," Econometrica, Econometric Society, vol. 40(5), pages 855-865, September.
    4. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models—Rejoinder," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 211-219.
    5. J.-F. Richard, 1980. "Models with Several Regimes and Changes in Exogeneity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 1-20.
    6. J.J. Heckman & E.E. Leamer (ed.), 2007. "Handbook of Econometrics," Handbook of Econometrics, Elsevier, edition 1, volume 6, number 6a.
    7. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    8. Zellner, Arnold, 1972. "Constraints Often Overlooked in Analyses of Simultaneous Equation Models," Econometrica, Econometric Society, vol. 40(5), pages 849-853, September.
    9. Zellner, Arnold, 1976. "Constraints Often Overlooked in Analyses of Simultaneous Equation Models: Further Reply," Econometrica, Econometric Society, vol. 44(3), pages 627-628, May.
    10. Heckman, James & Pinto, Rodrigo, 2015. "Causal Analysis After Haavelmo," Econometric Theory, Cambridge University Press, vol. 31(1), pages 115-151, February.
    11. Mouchart, M. & Wunsch, G. & Russo, F., 2015. "The issue of control in multivariate systems, A contribution of structural modelling," LIDAM Discussion Papers ISBA 2015019, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    12. Florens, J.-P. & Mouchart, M. & Rolin, J.-M., 1993. "Noncausality and marginalization of Markov processes," LIDAM Reprints CORE 1048, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    13. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.
    14. Grayham E. Mizon & David F. Hendry, 1998. "Exogeneity, causality, and co-breaking in economic policy analysis of a small econometric model of money in the UK," Empirical Economics, Springer, vol. 23(3), pages 267-294.
    15. James J. Heckman & Vytlacil, Edward J., 2007. "Econometric Evaluation of Social Programs, Part I: Causal Models, Structural Models and Econometric Policy Evaluation," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 70, Elsevier.
    16. Florens, J.-P. & Mouchart, M., 1985. "Conditioning in dynamic models," LIDAM Reprints CORE 624, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    17. J.J. Heckman & E.E. Leamer (ed.), 2007. "Handbook of Econometrics," Handbook of Econometrics, Elsevier, edition 1, volume 6, number 6b.
    18. Maddala, G S, 1976. "Constraints Often Overlooked in Analyses of Simultaneous Equation Models: Comment," Econometrica, Econometric Society, vol. 44(3), pages 615-616, May.
    19. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, September.
    20. Zellner, Arnold, 1976. "Constraints Often Overlooked in Analyses of Simultaneous Equation Models: Reply," Econometrica, Econometric Society, vol. 44(3), pages 619-624, May.
    21. Fair, Ray C & Jaffee, Dwight M, 1972. "Methods of Estimation for Markets in Disequilibrium," Econometrica, Econometric Society, vol. 40(3), pages 497-514, May.
    22. Wunsch, Guillaume & Mouchart, Michel & Russo, Federica, 2014. "Functions and Mechanisms in Structural-Modelling Explanations," LIDAM Reprints ISBA 2014011, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    23. Maddala, G S, 1976. "Constraints Often Overlooked in Analyses of Simultaneous Equation Models: Rejoinder," Econometrica, Econometric Society, vol. 44(3), pages 625-625, May.
    24. Hendry, David F., 1995. "Dynamic Econometrics," OUP Catalogue, Oxford University Press, number 9780198283164.
    25. Florens, J.P. & Mouchart, M. & Rolin, J.M., 1993. "Noncausality and Marginalization of Markov Processes," Econometric Theory, Cambridge University Press, vol. 9(2), pages 241-262, April.
    26. Bowden, Roger J, 1978. "Specification, Estimation and Inference for Models of Markets in Disequilibrium," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(3), pages 711-726, October.
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    More about this item

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling

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