Testing neoclassical competitive market theory in the field

Area of Science:

• Behavioral Economics
• Experimental Economics
• Market Design

Background:

• Competitive market theory provides a foundational framework for understanding economic interactions.
• Empirical validation of theoretical predictions in naturalistic settings remains a key challenge in economics.
• Field experiments offer a powerful tool for studying market dynamics with ecological validity.

Purpose of the Study:

• To empirically test the predictive accuracy of competitive market theory using a novel field experimental design.
• To investigate the influence of market composition, particularly participant experience, on market outcomes.
• To identify factors affecting equilibrium discovery and rent distribution in experimental markets.

Main Methods:

• Conducted a pilot field experiment where the marketplace served as the laboratory.
• Employed a design allowing for both active exchange experiments and passive observation of natural trading.
• Collected data on buying, selling, and trading activities across different market treatments.

Main Results:

• The competitive model's predictions for price and quantity were approximated in several market treatments.
• Market composition significantly affected the distribution and overall level of captured rents.
• Unexpectedly, markets with experienced buyers and sellers showed lower efficiency than those with experienced buyers and inexperienced sellers.

Conclusions:

• Competitive market theory offers a reasonable approximation of outcomes in certain market conditions.
• Participant experience and market composition are critical determinants of market equilibrium and efficiency.
• Future research should consider the nuanced effects of experience heterogeneity in market design and analysis.