Washington, DC 20057
United States
Department of Economics, Georgetown University
SSRN RANKINGS
in Total Papers Citations
Structural estimation, dynamic discrete choice, NFXP, MPEC, successive approximations, Newton-Kantorovich algorithm
Structural estimation, lifecycle model, discrete and continuous choice, retirement choice, endogenous gridpoint method, nested xed point algorithm, extreme value taste shocks, smoothed max function
tennis, games, Nash equilibrium, Minimax theorem, constant sum games, mixed strategies, dynamic directional games, binary Markov games, dynamic programming, structural estimation, muscle memory, magnification effect
housing, bargaining, sticky prices, optimal selling strategy, dynamic programming
duopoly, Bertrand-Nash price competition, Bertrand paradox, Bertrand investment paradox, leapfrogging, cost-reducing investments, technological improvement, dynamic models of competition, Markov-perfect equilibrium, tacit collusion, price wars, coordination and anti-coordination games, strategic
Dynamic games, directional dynamic games, Markov-perfect equilibrium, subgame perfect equilibrium, multiple equilibria, partial orders, directed acyclic graphs, d-subgames, generalized stage games, state recursion, recursive lexicographic search algorithm, variable-base arithmetic,successor function
secondary markets, trade, consumer heterogeneity, transactions costs, dynamic programming, extreme value distribution, dynamic discrete choice, multinomial logit model, stationary equilibrium, Markov chains, invariant distributions
dynamic auctions, behavioral economics, used cars, wholesale auctions, ascending bid, sealed-bid, second bid, English, Japanese, open outcry, and Korean auctions, bid sniping, jump bidding and bid creeping, collusion, algorithmic collusion, informational restrictions, perfect Bayesian equilibrium, anonymous equilibrium, rational inattention, bidding frictions, early bidding and overbidding, bounded rationality, dynamic programming, structural estimation, quasi maximum likelihood estimation, empirical mechanism design, bidding paradox.
Bayes rule, decision making, statistical decision theory, win and loss functions, learning, classification, machine learning, artificial intelligence, large language models, Bayesian inference, maximum likelihood, heterogeneity, mixture models, Estimation-Classification (EC) algorithm, binary logit model, structural models, GPT, LLM, Neural Networks, AI
