3 papers in the archive (2023), average empirical rigor 3.7/10, average math complexity 5.8/10. Quadrant mix: Lab Rats ×3.
Works mostly in Volatility Modeling & Forecasting, Market Simulation & Agent-Based Models, Market Microstructure.
Frequent co-authors: Vernon Smith (2).
Scores are our LLM-assisted heuristics (methodology), not peer review or citation counts. Author pages are generated from paper metadata; name variants may split one person across pages. arXiv author page →
Ordered by a blend of empirical rigor (60%) and math complexity (40%).
In retrospect, the experimental findings on competitive market behavior called for a revival of the old, classical, view of competition as a collective higgling and bargaining process (as opposed to price-taking behaviors) founded on reservation prices (in place of the utility function). In this pap
Financial volatility obeys two fascinating empirical regularities that apply to various assets, on various markets, and on various time scales: it is fat-tailed (more precisely power-law distributed) and it tends to be clustered in time. Many interesting models have been proposed to account for thes
Experimental results on market behavior establish a lower stability and efficiency of markets for durable re-tradable assets compared to markets for non-durable, or perishable, goods. In this chapter, we revisit this known but underappreciated dichotomy of goods in the light of our theory of competi