So far, if one wished to analyse economic markets in all their complexity - i.e. by incorporating all information regarding firm and consumer behavior available from the fields of economics, marketing, consumer research, competitive strategy, and business analysis - she had to use formulas with...

For criminal violations of the Sherman Act, although guided by federal sentencing guidelines, U.S. Department of Justice has great latitude in recommending corporate cartel fines to the federal courts, and its recommendations are nearly always determinative. In this paper, we analyze the...

We analyze the effects of better algorithmic demand forecasting on collusive profits. We show that the comparative statics crucially depend on the whether actions are observable. Thus, the optimal antitrust policy needs to take into account the institutional settings of the industry in question....

I introduce a reduced form two-sided market model to study prediction and identification in two-sided markets. The model generates the hallmark features of two-sided markets: potentially below cost or even negative prices to one side of the market, and the “see-saw” or “waterbed” effect...

Classic artificial intelligence (Q-learning) algorithms have been capable of consistently learning supra-competitive pricing strategies in infinitely repeated Nash-Bertrand pricing games without human communication. Such algorithms have been able to converge due to the temporal correlation of...

I introduce a reduced form two-sided market model to study prediction and identification in two-sided markets. The model generates the hallmark features of two-sided markets: potentially below cost or even negative prices to one side of the market, and the "see-saw" or "waterbed" effect of a...

We study the incentives of drug producers to develop predictive biomarkers, taking into account strategic interaction between drug producers and health plans. For this purpose we develop a two-dimensional spatial framework that allows us to capture the informational role of biomarkers and their...

We analyze the effects of better algorithmic demand forecasting on collusive profits. We show that the comparative statics crucially depend on the whether actions are observable. Thus, the optimal antitrust policy needs to take into account the institutional settings of the industry in question....

We investigate whether a firm's market power within its product market affects management sales forecast behavior. Our examination of the relation between market power and management sales forecasts is motivated by the notion that sales forecasts differ from other types of forecasts because...