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On the Properties of Various Estimators for Fiscal Reaction Functions

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  • Oya Celasun
  • Mr. Joong S Kang

Abstract

This paper evaluates the bias of the least-squares-with-dummy-variables (LSDV) method in fiscal reaction function estimations. A growing number of studies estimate fiscal policy reaction functions-that is, relationships between the primary fiscal balance and its determinants, including public debt and the output gap. A previously unexplored methodological issue in these estimations is that lagged debt is not a strictly exogenous variable, which biases the LSDV estimator in short panels. We derive the bias analytically to understand its determinants and run Monte Carlo simulations to assess its likely size in empirical work. We find the bias to be smaller than the bias of the LSDV estimator in a comparable autoregressive dynamic panel model and show the LSDV method to outperform a number of alternatives in estimating fiscal reaction functions.

Suggested Citation

  • Oya Celasun & Mr. Joong S Kang, 2006. "On the Properties of Various Estimators for Fiscal Reaction Functions," IMF Working Papers 2006/182, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2006/182
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    References listed on IDEAS

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    1. Henning Bohn, 1998. "The Behavior of U. S. Public Debt and Deficits," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(3), pages 949-963.
    2. Mr. Taimur Baig & Mr. Abdul d Abiad, 2005. "Underlying Factors Driving Fiscal Effort in Emerging Market Economies," IMF Working Papers 2005/106, International Monetary Fund.
    3. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    4. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    5. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    6. Galí, Jordi & Perotti, Roberto, 2003. "Fiscal Policy and Monetary Integration in Europe," CEPR Discussion Papers 3933, C.E.P.R. Discussion Papers.
    7. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    8. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Carlo A. Favero, "undated". "How do European monetary and fiscal authorities behave?," Working Papers 214, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    10. Mr. Jonathan David Ostry & Mr. Abdul d Abiad, 2005. "Primary Surpluses and sustainable Debt Levels in Emerging Market Countries," IMF Policy Discussion Papers 2005/006, International Monetary Fund.
    11. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    12. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    13. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    14. Oya Celasun & Xavier Debrun & Jonathan D. Ostry, 2006. "Primary Surplus Behavior and Risks to Fiscal Sustainability in Emerging Market Countries: A "Fan-Chart" Approach," IMF Staff Papers, Palgrave Macmillan, vol. 53(3), pages 1-3.
    15. Jordi Galí & Roberto Perotti, 2003. "Fiscal policy and monetary integration in Europe [‘Consumption smoothing through fiscal policy in OECD and EU countries’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 18(37), pages 533-572.
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