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A Spatial Dynamic Panel Analysis of Corruption

Author

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  • Hermann Pythagore Pierre Donfouet

    (CREM CNRS, UMR 6211, University of Rennes 1, France)

  • P. Wilner Jeanty

    (Kinder Institute for Urban Research & Hobby Center for the Study of Texas, Rice University, Texas, USA)

  • Eric Malin

    (CREM CNRS, UMR 6211, University of Rennes 1, France)

Abstract

Previous works on the determinants of corruption seldom addressed cross-border spillover of corruption in cross-country panel studies. In this paper, we report evidence of spatial spillover of corruption by means of spatial dynamic panel model. The results confirm that perceived levels of corruption at the country level are statistically and positively related to those in neighbouring countries. Furthermore, the findings also suggest that the parameters estimates derived from the spatial dynamic panel are more precise compared to the system GMM.

Suggested Citation

  • Hermann Pythagore Pierre Donfouet & P. Wilner Jeanty & Eric Malin, 2013. "A Spatial Dynamic Panel Analysis of Corruption," Economics Working Paper Archive (University of Rennes & University of Caen) 201324, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    • Handle: RePEc:tut:cremwp:201324
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    References listed on IDEAS

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    1. David Croix & Clara Delavallade, 2009. "Growth, public investment and corruption with failing institutions," Economics of Governance, Springer, vol. 10(3), pages 187-219, July.
    2. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2008. "Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large," Journal of Econometrics, Elsevier, vol. 146(1), pages 118-134, September.
    3. Oskar Kurer, 2005. "Corruption: An Alternative Approach to Its Definition and Measurement," Political Studies, Political Studies Association, vol. 53, pages 222-239, March.
    4. Swamy, Anand & Knack, Stephen & Lee, Young & Azfar, Omar, 2001. "Gender and corruption," Journal of Development Economics, Elsevier, vol. 64(1), pages 25-55, February.
    5. John Hudson & Philip Jones, 2008. "Corruption And Military Expenditure: At 'No Cost To The King'," Defence and Peace Economics, Taylor & Francis Journals, vol. 19(6), pages 387-403.
    6. La Porta, Rafael, et al, 1997. "Trust in Large Organizations," American Economic Review, American Economic Association, vol. 87(2), pages 333-338, May.
    7. Treisman, Daniel, 2000. "The causes of corruption: a cross-national study," Journal of Public Economics, Elsevier, vol. 76(3), pages 399-457, June.
    8. Elias K Shukralla & William J Allan, 2011. "Foreign aid, women in parliament and corruption: empirical evidence from the 2000s," Economics Bulletin, AccessEcon, vol. 31(1), pages 519-533.
    9. Becker, Sascha O. & Egger, Peter H. & Seidel, Tobias, 2009. "Common political culture: Evidence on regional corruption contagion," European Journal of Political Economy, Elsevier, vol. 25(3), pages 300-310, September.
    10. Dani Rodrik & Arvind Subramanian & Francesco Trebbi, 2004. "Institutions Rule: The Primacy of Institutions Over Geography and Integration in Economic Development," Journal of Economic Growth, Springer, vol. 9(2), pages 131-165, June.
    11. Oskar Kurer, 2005. "Corruption: An Alternative Approach to Its Definition and Measurement," Political Studies, Political Studies Association, vol. 53(1), pages 222-239, March.
    12. Danila Serra, 2006. "Empirical determinants of corruption: A sensitivity analysis," Public Choice, Springer, vol. 126(1), pages 225-256, January.
    13. Debarsy, Nicolas & Ertur, Cem, 2010. "Testing for spatial autocorrelation in a fixed effects panel data model," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 453-470, November.
    14. Badi H. Baltagi & Peter Egger & Michael Pfaffermayr, 2013. "A Generalized Spatial Panel Data Model with Random Effects," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 650-685, August.
    15. David L. Ortega & Raymond J.G.M. Florax & Benoit A. Delbecq, 2010. "Primary Determinants And The Spatial Distribution Of Corruption," Working Papers 10-6, Purdue University, College of Agriculture, Department of Agricultural Economics.
    16. Cem Ertur & Wilfried Koch, 2007. "Growth, technological interdependence and spatial externalities: theory and evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1033-1062.
    17. Philippe Aghion, 2005. "Growth and Institutions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 32(1), pages 3-18, March.
    18. Gupta, Sanjeev & de Mello, Luiz & Sharan, Raju, 2001. "Corruption and military spending," European Journal of Political Economy, Elsevier, vol. 17(4), pages 749-777, November.
    19. 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.
    20. Rajkumar, Andrew Sunil & Swaroop, Vinaya, 2008. "Public spending and outcomes: Does governance matter?," Journal of Development Economics, Elsevier, vol. 86(1), pages 96-111, April.
    21. Rafael Di Tella & Alberto Ades, 1999. "Rents, Competition, and Corruption," American Economic Review, American Economic Association, vol. 89(4), pages 982-993, September.
    22. Salima Bouayad-Agha & Lionel Védrine, 2010. "Estimation Strategies for a Spatial Dynamic Panel using GMM. A New Approach to the Convergence Issue of European Regions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(2), pages 205-227.
    23. Harry Seldadyo & J. Paul Elhorst & Jakob De Haan, 2010. "Geography and governance: Does space matter?," Papers in Regional Science, Wiley Blackwell, vol. 89(3), pages 625-640, August.
    24. Lui, Francis T, 1985. "An Equilibrium Queuing Model of Bribery," Journal of Political Economy, University of Chicago Press, vol. 93(4), pages 760-781, August.
    25. Goel, Rajeev K. & Nelson, Michael A., 2007. "Are corrupt acts contagious?: Evidence from the United States," Journal of Policy Modeling, Elsevier, vol. 29(6), pages 839-850.
    26. 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.
    27. Paolo Mauro, 1995. "Corruption and Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(3), pages 681-712.
    28. P. Wilner Jeanty, 2010. "SPWMATRIX: Stata module to generate, import, and export spatial weights," Statistical Software Components S457111, Boston College Department of Economics, revised 15 Mar 2014.
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    More about this item

    Keywords

    Corruption; spatial dynamic panel;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development

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