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

Raising Wages as a Strategy to Reduce Corruption

  • Sato, Hideki

This paper examines whether raising the salaries of government tax auditors reduces their incentive to accept bribes. It evaluates an optimal tax structure and economic welfare under conditions of perfect and imperfect information in relation to conditions for bribery. The major policy implication of this paper is that it is not necessarily desirable to increase salaries as an anticorruption measure. Even if government can reduce corruption by improving civil servants’ pay, obtaining funds to do so by raising the income tax will worsen economic welfare, based on the optimal tax structure.

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://mpra.ub.uni-muenchen.de/45688/1/MPRA_paper_45688.pdf
File Function: original version
Download Restriction: no

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 45688.

as
in new window

Length:
Date of creation: 21 Oct 2011
Date of revision:
Publication status: Published in Journal of Management and Strategy 4.2(2011): pp. 56-63
Handle: RePEc:pra:mprapa:45688
Contact details of provider: Postal: Schackstr. 4, D-80539 Munich, Germany
Phone: +49-(0)89-2180-2219
Fax: +49-(0)89-2180-3900
Web page: http://mpra.ub.uni-muenchen.de

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. Nahum D. Melumad & Dilip Mookherjee, 1989. "Delegation as Commitment: The Case of Income Tax Audits," RAND Journal of Economics, The RAND Corporation, vol. 20(2), pages 139-163, Summer.
  2. Reinganum, Jennifer F. & Wilde, Louis L., 1985. "Income tax compliance in a principal-agent framework," Journal of Public Economics, Elsevier, vol. 26(1), pages 1-18, February.
  3. Mookherjee, Dilip & Png, Ivan, 1989. "Optimal Auditing, Insurance, and Redistribution," The Quarterly Journal of Economics, MIT Press, vol. 104(2), pages 399-415, May.
  4. Mookherjee, Dilip & Png, I P L, 1990. "Enforcement Costs and the Optimal Progressivity of Income Taxes," Journal of Law, Economics and Organization, Oxford University Press, vol. 6(2), pages 410-31, Fall.
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:pra:mprapa:45688. 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: (Ekkehart Schlicht)

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.