Pasadena, CA 91125
United States
California Institute of Technology (Caltech)
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privacy, online advertising, third-party cookies, Privacy Sandbox, California Consumer Privacy Act, structural estimation, auctions with entry
News Sharing, Social Networks, Voting, Media Bias, Fake News, Polarization, Filter Bubble, Lab Experiments
random utility models, demand inversion, two-sided matching, discrete choice demand models, partial identification, pure characteristics model
Dynamic discrete choice model, Closed form estimator, Optimal stopping, Taxicab industry, Labor supply, Negative wage elasticities, Semiparametric average derivative estimation
rational inattention; discrete choice models; random utility; convex analysis; generalized entropy; Bregman Information
Mobile advertising, Attention, Drift-diffusion model, Response times, Video advertisements, Skippable ads
Attention, Suspense, Surprise, Contents Design
semiparametric multinomial choice models, random projection, large choice sets, cyclic monotonicity, Johnson-Lindenstrauss Lemma
semiparametric discrete choice models, random projection, machine learning, large choice sets, cyclic monotonicity, Johnson-Lindenstrauss Lemma
time-varying risk aversion, near-miss, accidents, high-frequency driving patterns
Stochastic Mathematical Programming, Linear Complementarity Constraints, Moment Inequality, Duality, Sub-Vector Inference, Portfolio Selection
Demand estimation, Elections, Post-model selection inference, Lasso, Big data
Random-coefficients logit model, High-dimensional regressors, LASSO, Elections, Machine Learning, Big data
Learning, Bounded Rationality, Prediction Bias, Risk Preference, Choice Model, Dynamic Structural Model, Online Gaming
Discrete-Choice Demand Model, Interactive Fixed Effects, Factor Analysis, Panel Data, Random Utility Model.
Semiparametric Multinomial Choice Models; Counterfactual prediction; Convex Analysis, Cyclic Monotonicity; Linear Programming
quantal response equilibrium, behavioral game theory, cyclic monotonicity, moment inequalities, experimental economics
Two-Sided Matching, Structural Estimation, Assortative Matching, Indeterminacy, Random Matching
Cyclic Monotonicity, Multinomial Choice, Panel Data, Fixed Effects, Convex analysis
peer performance evaluation, strategic manipulation, personnel economics, sabotage, envy, field data
Sponsored-search advertising, Auctions, Market design, Two-sided Matching, Bayesian estimation
Semiparametric estimation, Dynamic discrete choice model, Average derivative estimation
self-regulation, self-control, negative spillovers, exercise, healthy eating, mental accounting
Aggregate matching, stability, rationalizability, revealed preference tests
Pharmaceutical detailing, Informative advertising, Sales force, Contraindications, Bayesian learning models
E-Retail Markets, Nonparametric Identification, Structural Estimation
firm selection; market size; transportation infrastructure; firm productivity
auctions, reserve prices, field experiments, combining field and laboratory experiments, experimental economics
cushioning, extrapolation, oil exploration
interbank markets, cooperative bargaining, financial institutions
dynamic discrete choice, random utility, linear programming, convex analysis, convex optimization
Industrial organization, endogenous quality, imperfect competition, monopoly, cable television, quality distortions, welfare, quality markup
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cable television, endogenous quality, imperfect competition, industrial organization, monopoly, pay television, quality markup, welfare
information aggegation, mechanism, subjective probability, parimutuel
voting, courts, communication, partial identification
Copula, ecological inference, partial identification, treatment effects
information pooling, earnings forecasts, brokerage mergers
digital platform, distributive justice, e-commerce, platform economies, MSMEs, scale economies, two-sided network externalities, competition policy, COVID-19 pandemic
Moment Inequality Models, Constrained Optimization, MPEC, MPCC, Partial Identification, Computing Identified Set, Confidence Set
