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On the Identification of Fiscal Policy Behavior

  • Bing Li

    ()

    (Indiana University Bloomington)

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    In the current literature, fiscal policy is usually characterized by a singleequation rule, in which primary surplus is generally de ned as a function of lagged government debt and other controlled variables. To apply Ordinary Least Squares (OLS) method on the single-equation rule has been one of the common approaches to identify scal policy behavior. From the rational expectations general equilibrium perspective, this paper illustrates that lagged government debt is generally endogenous and the OLS approach su ers from simultaneity bias. Consequently, the OLS-based identi cation of scal policy behavior is unreliable. As a solution, we apply the Generalized Method of Moments (GMM) for estimation and inference. Monte Carlo experiments demonstrate that GMM provides more reliable results than OLS in terms of accuracy of the estimator, size and power. In short, people should be cautious of the existing OLS-based identi cation results of scal policy behavior and the empirical researchers should not consider OLS regression as a reliable tool when trying to identify scal policy behavior in the future.

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    File URL: http://www.iub.edu/~caepr/RePEc/PDF/2008/CAEPR2008-026.pdf
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    Paper provided by Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington in its series Caepr Working Papers with number 2008-026.

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    Length: 39 pages
    Date of creation: Mar 2009
    Date of revision:
    Handle: RePEc:inu:caeprp:2008-026
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