Ordered Response Threshold Estimation

TL;DR: A survey of empirical models of market structure can be found in this article, where the authors discuss what economists can in principle learn from models with homogeneous potential entrants, and then turn to models with heterogeneous firms.

TL;DR: In this article, the authors developed a √n-consistent and asymptotically normal estimator of the parameters (regression coefficients and threshold points) of a semiparametric ordered response model under the assumption of independence of errors and regressors.

TL;DR: In this article, a shift in focus to distributional effects is proposed to generalize treatment analyses based on average outcomes to the case of ordered responses because the expectation of an ordinally measured variable does not exist.

TL;DR: A generalized ordered probit and logit model can yield biased and inconsistent estimators when the distributions are misspecified as mentioned in this paper, which is the case with the generalized ordered respiration model.

TL;DR: In this paper, conditions for obtaining cosistency and asymptotic normality of a very general class of estimators (extremum estimators) are given to enable approximation of the SDF.

TL;DR: In this article, conditions for obtaining cosistency and asymptotic normality of a very general class of estimators (extremum estimators) are presented, and the results are also extended to two-step estimators.

TL;DR: This article examined the statistical model used to establish the empirical regularity and the intuitive behavioral interpretation often used to rationalize it, and showed that the implicit economic model assumes myopia and that the intuitive interpretive model is identified only by imposing arbitrary distributional assumptions onto the data.

TL;DR: In this paper, it was shown that the maximum score estimate lies outside any fixed neighborhood of β ∗ with probability that goes to zero at an exponential rate, and strong consistency was established.