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Econometrics: A Bird’s Eye View

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  • Geweke, J.
  • Joel Horowitz
  • Pesaran, M.H.

Abstract

As a unified discipline, econometrics is still relatively young and has been transforming and expanding very rapidly over the past few decades. Major advances have taken place in the analysis of cross sectional data by means of semi-parametric and non-parametric techniques. Heterogeneity of economic relations across individuals, firms and industries is increasingly acknowledged and attempts have been made to take them into account either by integrating out their effects or by modeling the sources of heterogeneity when suitable panel data exists. The counterfactual considerations that underlie policy analysis and treatment evaluation have been given a more satisfactory foundation. New time series econometric techniques have been developed and employed extensively in the areas of macroeconometrics and finance. Non-linear econometric techniques are used increasingly in the analysis of cross section and time series observations. Applications of Bayesian techniques to econometric problems have been given new impetus largely thanks to advances in computer power and computational techniques. The use of Bayesian techniques have in turn provided the investigators with a unifying framework where the tasks of forecasting, decision making, model evaluation and learning can be considered as parts of the same interactive and iterative process; thus paving the way for establishing the foundation of “real time econometrics”. This paper attempts to provide an overview of some of these developments.

Suggested Citation

  • Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
  • Handle: RePEc:cam:camdae:0655 Note: Ec
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    References listed on IDEAS

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    1. Laurent Simula & Alain Trannoy, 2006. "Optimal Linear Income Tax when Agents Vote with their Feet," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 62(3), pages 393-415, September.
    2. Wilson, John D., 1982. "Optimal linear income taxation in the presence of emigration," Journal of Public Economics, Elsevier, pages 363-379.
    3. Parkash Chander & Louis L. Wilde, 1998. "A General Characterization of Optimal Income Tax Enforcement," Review of Economic Studies, Oxford University Press, vol. 65(1), pages 165-183.
    4. Borjas, George J., 1999. "The economic analysis of immigration," Handbook of Labor Economics,in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 28, pages 1697-1760 Elsevier.
    5. Brito, Dagobert L & Oakland, William H, 1977. "Some Properties of the Optimal Income-Tax," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 407-423, June.
    6. Wilson, John D., 1982. "Optimal income taxation and migration : A world welfare point of view," Journal of Public Economics, Elsevier, pages 381-397.
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    More about this item

    Keywords

    History of econometrics; Microeconometrics; Macroeconometrics; Bayesian Econometrics; Nonparametric and Semi-parametric Analysis;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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