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Corruption and Growth Under Weak Identification

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Author Info
Philip Shaw (University of Connecticut)
Marina-Selini Katsaiti (University of Connecticut)
Marius Jurgilas (University of Connecticut)

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Abstract

The goal of this paper is to revisit the influential work of Mauro [1995] focusing on the strength of his results under weak identification. He finds a negative impact of corruption on investment and economic growth that appears to be robust to endogeneity when using two-stage least squares (2SLS). Since the inception of Mauro [1995], much literature has focused on 2SLS methods revealing the dangers of estimation and thus "traditional" types of inference under weak identification. We reproduce the original results of Mauro [1995] with a high level of confidence and show that the instrument used in the original work is in fact "weak" as defined by Staiger and Stock [1997]. Thus we update the analysis using a test statistic robust to weak instruments. Our results suggest that under Mauro's original model there is a high probability that the parameters of interest are locally almost unidentified in multivariate specifications. To address this problem, we also investigate other instruments commonly used in the corruption literature and obtain similar results. After identifying an instrument with sufficient strength we fail to reject a zero effect of corruption on investment and economic growth.

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Publisher Info
Paper provided by University of Connecticut, Department of Economics in its series Working papers with number 2006-17.

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Length: 26 pages
Date of creation: Sep 2006
Date of revision: Mar 2007
Handle: RePEc:uct:uconnp:2006-17

Note: The authors would like to thank Paulo Mauro, Gautam Tripathi, Nicholas Shunda, Christian Zimmermann, and Francis Ahking for comments and suggestions. We would also like to thank the contributing participants of the Sixth Annual Missouri Economics Conference for their valuable feedback.
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Web page: http://www.econ.uconn.edu/
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Related research
Keywords: Corruption Growth Weak Identification LAU

Other versions of this item:

Find related papers by JEL classification:
C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption

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    Other versions:
  2. Paolo Mauro, 1996. "The Effects of Corruption on Growth, Investment, and Government Expenditure," IMF Working Papers 96/98, International Monetary Fund.
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    Other versions:
  7. Jean-Marie Dufour, 1997. "Some Impossibility Theorems in Econometrics with Applications to Structural and Dynamic Models," Econometrica, Econometric Society, vol. 65(6), pages 1365-1388, November.
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  15. Nelson, Charles R & Startz, Richard, 1990. "Some Further Results on the Exact Small Sample Properties of the Instrumental Variable Estimator," Econometrica, Econometric Society, vol. 58(4), pages 967-76, July. [Downloadable!] (restricted)
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  16. Fredriksson, Per G. & Svensson, Jakob, 2003. "Political instability, corruption and policy formation: the case of environmental policy," Journal of Public Economics, Elsevier, vol. 87(7-8), pages 1383-1405, August. [Downloadable!] (restricted)
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