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Structural Modeling under Challenge

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  • V. Pandit

Abstract

It is interesting to note that nearly three decades of new paradigms in macroeconomic theory and policy have hardly gone beyond the ivory towers of the academic world. The extent to which a scientific discipline is open to new ideas and approaches is a measure of its health. The enrichment of econometric methodology in recent decades leading to what is some times called "new econometrics" is not only natural but also welcome. The critical question however, is whether the new ideas are an outgrowth of earlier wisdom or a total negation of it. Since this is largely a matter of subjective assessment views would be considerably different.

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  • V. Pandit, 2008. "Structural Modeling under Challenge," Working Papers id:1622, eSocialSciences.
    • Handle: RePEc:ess:wpaper:id:1622
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    1. Cheng Hsiao, 1997. "Statistical Properties of the Two-Stage Least Squares Estimator Under Cointegration," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(3), pages 385-398.
    2. Martin S. Eichenbaum, 1996. "Some comments on the role of econometrics in economic theory," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 20(Jan), pages 22-31.
    3. Eichenbaum, Martin, 1991. "Real business-cycle theory : Wisdom or whimsy?," Journal of Economic Dynamics and Control, Elsevier, vol. 15(4), pages 607-626, October.
    4. Leamer, Edward E, 1983. "Let's Take the Con Out of Econometrics," American Economic Review, American Economic Association, vol. 73(1), pages 31-43, March.
    5. Sargent, Thomas J. & Wallace, Neil, 1976. "Rational expectations and the theory of economic policy," Journal of Monetary Economics, Elsevier, vol. 2(2), pages 169-183, April.
    6. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    7. Francis X. Diebold, 1998. "The Past, Present, and Future of Macroeconomic Forecasting," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 175-192, Spring.
    8. Taylor, John B, 1993. "The Use of the New Macroeconometrics for Policy Formulation," American Economic Review, American Economic Association, vol. 83(2), pages 300-305, May.
    9. Benassy, Jean-Pascal, 1990. "Non-Walrasian equilibria, money, and macroeconomics," Handbook of Monetary Economics, in: B. M. Friedman & F. H. Hahn (ed.), Handbook of Monetary Economics, edition 1, volume 1, chapter 4, pages 103-169, Elsevier.
    10. Ronald G. Bodkin & Lawrence R. Klein & Kanta Marwah, 1991. "A History of Macroeconometric Model-Building," Books, Edward Elgar Publishing, number 51.
    11. Cheng Hsiao, 1997. "Cointegration and Dynamic Simultaneous Equations Model," Econometrica, Econometric Society, vol. 65(3), pages 647-670, May.
    12. Wojciech W. Charemza & Derek F. Deadman, 1997. "New Directions In Econometric Practice, Second Edition," Books, Edward Elgar Publishing, number 1139.
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    Structural modeling; Macroeconomics;

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