225
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Information disclosure and job search: evidence from a social networks experiment

, &
Pages 293-296 | Published online: 26 Nov 2013
 

Abstract

We report the results of an experiment that determined the importance of an information disclosure policy in job search behaviour. We controlled the level of employment information disclosed after every experimental round. When we announced the subjects’ wage levels, which at that point they had accepted along with their counterparts in a social network, the subjects’ average reservation wages increased significantly according to their initial preference. However, when this information was not revealed, the reservation wage remained the same despite the availability of the social network. We suggest that the green-eyed monster effect may be significant in explaining these results.

JEL Classification:

Notes

1 See ‘Connections: An Introduction to the Economics of Networks’ by Goyal (Citation2007).

2 See a study by Beaman and Magruder (Citation2012).

3 A treatment is a part of a session that is stored in a file. A ‘session’ refers to the events that occur in the time span between the arrival of the subjects and the moment they receive payment. In general, a session consists of several treatments. A set of corresponding sessions constitutes one experiment.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 205.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.