Biomedical subjects

John A List

Publications and source records attributed to John A List.

3 recordsLinked to original sources

PubMed2005

A simple test of expected utility theory using professional traders.

We compare behavior across students and professional traders from the Chicago Board of Trade in a classic Allais paradox experiment. Our experiment tests whether independence, a necessary condition in expected utility theory, is systematically violated. We find that both students and professionals exhibit some behavior consistent with the Allais paradox, but the data pattern does suggest that the trader population falls prey to the Allais paradox less frequently than the student population.

Behavior↗

PubMed2003

Cigarette demand: a meta-analysis of elasticities.

Estimating elasticities of cigarette demand has become commonplace amongst economists and policymakers. Synthesizing the various elasticities into a coherent message is quite challenging, however, as the point estimates are obtained using quite disparate modeling techniques and data. In this study, we perform a meta-analysis to explore factors that influence variations within and across studies. Empirical results suggest that demand specification, data issues, and estimation methodology have varying degrees of influence on reported estimates of price, income, and advertising elasticities.

Advertising↗

PubMed2002

Testing neoclassical competitive market theory in the field.

This study presents results from a pilot field experiment that tests predictions of competitive market theory. A major advantage of this particular field experimental design is that my laboratory is the marketplace: subjects are engaged in buying, selling, and trading activities whether I run an exchange experiment or am a passive observer. In this sense, I am gathering data in a natural environment while still maintaining the necessary control to execute a clean comparison between treatments. The main results of the study fall into two categories. First, the competitive model predicts reasonably well in some market treatments: the expected price and quantity levels are approximated in many market rounds. Second, the data suggest that market composition is important: buyer and seller experience levels impact not only the distribution of rents but also the overall level of rents captured. An unexpected result in this regard is that average market efficiency is lowest in markets that match experienced buyers and experienced sellers and highest when experienced buyers engage in bargaining with inexperienced sellers. Together, these results suggest that both market experience and market composition play an important role in the equilibrium discovery process.

Adult↗