IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Inspectors or Google Earth? Optimal fiscal policies under uncertain detection of evaders

Listed author(s):
  • Martin Besfamille


  • Pablo Olmos

Most of the contributions to the optimal tax-enforcement literature assume that audits are perfect and always discover evaders. However, evasion often remains undetected. To reduce the probability of such a failure, governments invest resources to improve their tax administrations’ detection technology. We incorporate these kind of investments into a model that studies optimal fiscal policies under uncertain detection of evaders. We characterize their level and we show numerically how they interact with the other dimensions of an optimal fiscal policy. Finally, we highlight the differences between our results and those obtained in a model without investment in audit technology.

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:
Download Restriction: no

Paper provided by Universidad Torcuato Di Tella in its series Department of Economics Working Papers with number 2010-09.

in new window

Length: 45 pages
Date of creation: Aug 2010
Handle: RePEc:udt:wpecon:2010-09
Contact details of provider: Web page:

More information through EDIRC

No references listed on IDEAS
You can help add them by filling out this form.

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:udt:wpecon:2010-09. 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: (Martin Cecilia Lafuente)

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.