EconPapers    
Economics at your fingertips  
 

Learning, public good provision, and the information trap

Aleksander Berentsen, Esther Bruegger and Simon Loertscher

No 371, IEW - Working Papers from Institute for Empirical Research in Economics - University of Zurich

Abstract: We consider an economy where decision maker(s) do not know the true production function for a public good. By using Bayes rule they can learn from experience. We show that the economy may learn the truth, but that it may also converge to an inefficient policy where no further inference is possible so that the economy is stuck in an information trap. We also show that our results are robust with respect to experimentation.

Keywords: Public economics; learning; size of government (search for similar items in EconPapers)
JEL-codes: D72 D83 H10 (search for similar items in EconPapers)
Date: 2008-05
New Economics Papers: this item is included in nep-cba, nep-cdm and nep-pbe
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.zora.uzh.ch/id/eprint/52325/1/iewwp371.pdf (application/pdf)

Related works:
Journal Article: Learning, public good provision, and the information trap (2008) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zur:iewwpx:371

Access Statistics for this paper

More papers in IEW - Working Papers from Institute for Empirical Research in Economics - University of Zurich
Bibliographic data for series maintained by Severin Oswald ().

 
Page updated 2025-03-22
Handle: RePEc:zur:iewwpx:371