Articles

Acemoglu Fragility of Asymptotic Agreement under Bayesian pdf

  • Download 5x Faster
  • Download torrent
  • Direct Download
  • Rate this torrent +  |  -
Acemoglu Fragility of Asymptotic Agreement under Bayesian pdf

Anonymous and free Direct Download 300GB+


Torrent info

Name:Acemoglu Fragility of Asymptotic Agreement under Bayesian pdf

Total Size: 466.12 KB

Magnet: Magnet Link

Seeds: 0

Leechers: 9

Stream: Watch Online @ Movie4u

Last Updated: 2010-08-17 22:54:03 (Update Now)

Torrent added: 2008-12-15 16:34:48



VPN For Torrents

Torrent Files List


Acemoglu Fragility of Asymptotic Agreement under Bayesian.pdf (Size: 466.12 KB) (Files: 1)

 Acemoglu Fragility of Asymptotic Agreement under Bayesian.pdf

466.12 KB
 

Announce URL: http://a.tracker.thepiratebay.org/announce

Torrent description

Fragility of Asymptotic Agreement under Bayesian Learning, Daron Acemoglu, Victor Chernozhukov


Journal Article for Economics

Abstract:
Under the assumption that individuals know the conditional distributions of signals given the payoff-relevant parameters, existing results conclude that as individuals observe infinitely many signals, their beliefs about the parameters will eventually merge. We first show that these results are fragile when individuals are uncertain about the signal distributions: given any such model, a vanishingly small individual uncertainty about the signal distributions can lead to a substantial (non-vanishing) amount of differences between the asymptotic beliefs. We then characterize the conditions under which a small amount of uncertainty leads only to a small amount of asymptotic disagreement. According to our characterization, this is the case if the uncertainty about the signal distributions is generated by a family with \"rapidly-varying tails\" (such as the normal or the exponential distributions). However, when this family has \"regularly-varying tails\" (such as the Pareto, the log-normal, and the t-distributions), a small amount of uncertainty leads to a substantial amount of asymptotic disagreement.

Keywords: asymptotic disagreement, Bayesian learning, merging of opinions

related torrents

Torrent name

health leech seeds Size

Nailing Women Under 25 pdf

0 7 278.00 KB 0

Wow Cars Under 500 Pdf

0 0 917.00 KB 0
 


comments (0)

Main Menu