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Structural Modelling Under Challenge

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  • V. Pandit

    (Delhi School of Economics)

Abstract

Over the last two decades or so macroeconometric modelling which was in vogue over the sixties and the seventies has ceased to be high on the academic agenda. This has been for a number of developments in macroeconomic theory and in econometric methodology. At the same time it is by no means true that macroeconometric modelling in the Cowles Commission tradition has been given up. Like all healthy disciplines the subject has incorporated some of the new developments and rejected some. Structural models continue to be used for policy formulation and continue to be used for policy formulation and evaluation all over the world because no viable alternative has emerged so far. This paper is intended to take stock of the prevailing situation and to suggest the course that the subject is likely to take in the years to come.

Suggested Citation

  • V. Pandit, 2001. "Structural Modelling Under Challenge," Working papers 98, Centre for Development Economics, Delhi School of Economics.
  • Handle: RePEc:cde:cdewps:98
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    References listed on IDEAS

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    1. Cheng Hsiao, 1997. "Statistical Properties of the Two-Stage Least Squares Estimator Under Cointegration," Review of Economic Studies, Oxford University Press, vol. 64(3), pages 385-398.
    2. Martin Eichenbaum, 1996. "Some comments on the role of econometrics in economic theory," Economic Perspectives, Federal Reserve Bank of Chicago, 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. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    6. 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.
    7. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    8. 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.
    9. 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.
    10. Hendry, David F, 1980. "Econometrics-Alchemy or Science?," Economica, London School of Economics and Political Science, vol. 47(188), pages 387-406, November.
    11. Ronald G. Bodkin & Lawrence R. Klein & Kanta Marwah, 1991. "A History of Macroeconometric Model-Building," Books, Edward Elgar Publishing, number 51, April.
    12. Cheng Hsiao, 1997. "Cointegration and Dynamic Simultaneous Equations Model," Econometrica, Econometric Society, vol. 65(3), pages 647-670, May.
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    Cited by:

    1. V. Pandit, 2010. "Sustainable Economic Growth for India: An Exercise in Macroeconomic Scenario Building," Working Papers id:2924, eSocialSciences.
    2. V. Pandit, 2008. "Sustainable Economic Growth for India," Working Papers id:1546, eSocialSciences.
    3. V. Pandit, 2002. "Sustainable Economic Growth for India: An Exercise in Macroeconomic Scenario Building," Working papers 100, Centre for Development Economics, Delhi School of Economics.

    More about this item

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

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