Leveraging the fact that in many primary debt issuance markets securities of varying maturities are sold simultaneously, we recover participants' full demand systems by generalizing methods for estimating individual demands from bidding data. The estimated preference parameters allow us to...

This study proposes a Bayesian semiparametric binary response model using Markov chain Monte Carlo algorithms since this Bayesian algorithm works when the maximum likelihood estimation fails. Implementing graphic processing unit computing improves the computation time because of its efficiency...

This paper considers transformations of nonlinear semiparametric mean functions that yield moment conditions for estimation. Such transformations are said to be information equivalent if they yield the same asymptotic efficiency bound. I derive a unified theory of algebraic equivalence for...