This paper studies entry and capacity decisions by dialysis providers in the U.S. We estimate a structural model where providers make strategic continuous choices of capacities based on private information about own costs and beliefs about competitors' behaviors. We evaluate the impact on market...

We investigate the relationship between competition and stage specialization in the venture capital (VC) market. A typical successful company goes through multiple stages of VC investments, but an average VC firm specializes and participates only in a subset of these stages. We hypothesize that...

We investigate the effect of competition on price dispersion in the airline industry. Using panel data from 1993 to 2008, we find a non-monotonic effect of competition on price dispersion. An increase in competition is associated with greater price dispersion in concentrated markets but is...

Stochastic sequential bargaining games (Merlo and Wilson (1995, 1998)) have found wide applications in various fields including political economy and macroeconomics due to their flexibility in explaining delays in reaching agreement. In this paper, we present new results in non-parametric...

I estimate a simultaneous discrete game with incomplete information where players' private information are only required to be median independent of observed states and can be correlated with observable states. This median restriction is weaker than other assumptions on players' private...

We introduce an approach for semiparametric inference in dynamic binary choice models that does not impose distributional assumptions on the state variables unobserved by the econometrician. The proposed framework combines Bayesian inference with partial identification results. The method is...

We quantify the identifying power of special regressors in heteroskedastic binary regressions with median-independent or conditionally symmetric errors. We measure the identifying power using two criteria: the set of regressor values that help point identify coefficients in latent payoffs as in...

We study the nonparametric identification and estimation of a structural model for committee decisions. Members of a committee share a common information set, but differ in ideological bias while processing multiple information sources and in individual tastes while weighing multiple objectives....

We introduce an approach for semi-parametric inference in dynamic binary choice models that does not impose distributional assumptions on the state variables unobserved by the econometrician. The proposed framework combines Bayesian inference with partial identification results. The method is...