Jonathan E. Alevy
University of Alaska Anchorage
Institutional Affiliation: University of Alaska Anchorage
Information about this author at RePEc
NBER Working Papers and Publications
|May 2010||How Can Behavioral Economics Inform Non-Market Valuation? An Example from the Preference Reversal Literature|
with John List, Wiktor Adamowicz: w16036
Psychological insights have made inroads within most major areas of study in economics. One area where less advance has been made is environmental and resource economics. In this study, we examine the implications of preference reversals over evaluation modes, in which stated economic values critically depend on whether the good is valued jointly with others or in isolation. The question arises because two commonly used methods for eliciting stated preferences differ in that one presents objects together and another presents objects to be evaluated in isolation. Beyond showing an example of the import of behavioral economics, our empirical evidence sheds new light on the factors associated with insensitivity of valuations to the scope of the good.
Published: Jonathan E. Alevy & John A. List & Wiktor L. Adamowicz, 2011. "How Can Behavioral Economics Inform Nonmarket Valuation? An Example from the Preference Reversal Literature," Land Economics, University of Wisconsin Press, vol. 87(3), pages 365-381. citation courtesy of
|December 2006||Information Cascades: Evidence from An Experiment with Financial Market Professionals|
with Michael S. Haigh, John List: w12767
Previous empirical studies of information cascades use either naturally occurring data or laboratory experiments with student subjects. We combine attractive elements from each of these lines of research by observing market professionals from the Chicago Board of Trade (CBOT) in a controlled environment. As a baseline, we compare their behavior to student choices in similar treatments. We further examine whether, and to what extent, cascade formation is influenced by both private signal strength and the quality of previous public signals, as well as decision heuristics that differ from Bayesian rationality. Analysis of over 1,500 individual decisions suggests that CBOT professionals are better able to discern the quality of public signals than their student counterparts. This leads to...
Published: Jonathan E. Alevy & Michael S. Haigh & John A. List, 2007. "Information Cascades: Evidence from a Field Experiment with Financial Market Professionals," Journal of Finance, American Finance Association, vol. 62(1), pages 151-180, 02.