IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Why Are Some Public Officials More Corrupt Than Others?

  • Jennifer Hunt

    ()

Using detailed Peruvian data measuring bribery, I assess which types of public official are most corrupt and why. I distinguish between the bribery rate and the size of bribes received, and seek to explain the variation in each across public institutions. The characteristics of officials’ clients explain most of the variation for bribery rates, but none for bribe amounts. A measure of the speed of honest service at the institution explains much of the remaining variation for both bribery rates and amounts. The results indicate that the bribery rate is higher at institutions with bribe-prone clients, and that bribery rates and bribe amounts are higher where clients are frustrated at slow service. Faster and better service would reduce corruption. Overall, the judiciary and the police are by far the most corrupt institutions.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.wdi.umich.edu/files/Publications/WorkingPapers/wp790.pdf
Download Restriction: no

Paper provided by William Davidson Institute at the University of Michigan in its series William Davidson Institute Working Papers Series with number wp790.

as
in new window

Length: pages
Date of creation: 01 Sep 2005
Date of revision:
Handle: RePEc:wdi:papers:2005-790
Contact details of provider: Postal: 724 E. University Ave, Wyly Hall 1st Flr, Ann Arbor MI 48109
Phone: 734 763-5020
Fax: 734 763-5850
Web page: http://www.wdi.umich.edu
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Hunt, Jennifer, 2004. "Trust and Bribery: The Role of the Quid Pro Quo and the Link with Crime," IZA Discussion Papers 1179, Institute for the Study of Labor (IZA).
  2. John Mcmillan & Pablo Zoido, 2004. "How to Subvert Democracy: Montesinos in Peru," Journal of Economic Perspectives, American Economic Association, vol. 18(4), pages 69-92, Fall.
  3. Anand V. Swamy & Stephen Knack & Young Lee & Omar Azfar, 2000. "Gender and Corruption," Department of Economics Working Papers 2000-10, Department of Economics, Williams College.
  4. Ades, Alberto & Di Tella, Rafael, 1997. "National Champions and Corruption: Some Unpleasant Interventionist Arithmetic," Economic Journal, Royal Economic Society, vol. 107(443), pages 1023-42, July.
  5. Svensson, Jakob, 2000. "Who must pay bribes and how much? Evidence from a cross-section of firms," Policy Research Working Paper Series 2486, The World Bank.
  6. Pranab Bardhan, 1997. "Corruption and Development: A Review of Issues," Journal of Economic Literature, American Economic Association, vol. 35(3), pages 1320-1346, September.
  7. John P. Haisken-DeNew & Christoph M. Schmidt, . "Inter-Industry and Inter-Region Differentials: Mechanics and Interpretation," Working Papers 9504, SELAPO Center for Human Resources.
  8. Francisco Alvarez-Cuadrado, . "A Quantitative Exploration of the Golden Age of European Growth: Structural Change, Public Investment, the Marshall Plan and Intra-European Trade," Working Papers UWEC-2004-15, University of Washington, Department of Economics.
  9. Naci Mocan, 2004. "What Determines Corruption? International Evidence from Micro Data," NBER Working Papers 10460, National Bureau of Economic Research, Inc.
  10. Fisman, Raymond & Gatti, Roberta, 2000. "Decentralization and corruption - evidence across countries," Policy Research Working Paper Series 2290, The World Bank.
  11. Jennifer Hunt & Sonia Laszlo, 2006. "Bribery: Who Pays, Who Refuses, What Are The Payoffs?," Departmental Working Papers 2006-06, McGill University, Department of Economics.
  12. Lui, Francis T, 1985. "An Equilibrium Queuing Model of Bribery," Journal of Political Economy, University of Chicago Press, vol. 93(4), pages 760-81, August.
  13. Borjas, George J. & Sueyoshi, Glenn T., 1994. "A two-stage estimator for probit models with structural group effects," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 165-182.
  14. Treisman, Daniel, 2000. "The causes of corruption: a cross-national study," Journal of Public Economics, Elsevier, vol. 76(3), pages 399-457, June.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:wdi:papers:2005-790. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Laurie Gendron)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.