In this paper, we propose a constrained maximum likelihood estimator for misclassification models, by formulating the estimation as an MPEC (Mathematical Programming with Equilibrium Constraints) problem. Our approach improves the numerical accuracy and avoids the singularity problem. Monte...

Procurement projects often involve substantial uncertainty in inputs at the time of contracting. Whether the procurer or contractor assumes such risk depends on the specific contractual agreement. Using auction data from the Florida Department of Transportation, we document evidence of i)...

Control function approaches to estimating production functions rely on a proxy that is monotone in an unobserved scalar productivity conditioning on other state variables. Ackerberg, Caves, and Frazer (2015) point out a potential functional dependence problem when conditioning only on capital....

The practice of selling multiple products or services under nonlinear pricing has a long history in the business community. Consumers may face demand uncertainty when choosing a service plan, and preferences for multiple products or services may be inter-dependent. To examine a demand system...

I develop a multiproduct nonlinear pricing model where a firm sells both discrete and continuous goods/services to consumers with multidimensional heterogeneity. I derive the optimal selling mechanism and provide primitive conditions under which different bundling strategies arise. Exploiting...

This paper provides sufficient conditions for nonparametrically identifying dynamic games with incomplete information, allowing for multiple equilibria and payoff-relevant unobservables. Our identification involves two steps. We first identify the equilibrium conditional choice probabilities and...

We study Ackerberg, Caves, and Frazer (2015)'s production function estimation method using Monte Carlos simulations. First, we replicate their results by using the same procedure and confirm the existence, as noted by ACF, of a spurious minimum in the estimation. In the population, or when the...

We revisit identification based on timing and information set assumptions in structural models, which have been used in the context of production functions, demand equations, and hedonic pricing models (e.g. Olley and Pakes (1996), Blundell and Bond (2000)). First, we demonstrate a general...

We study identification of ascending auctions with additively separable auction-level unobserved heterogeneity. Usual deconvolution approaches are inapplicable due to the lack of the highest bid; both unobserved heterogeneity and incomplete bid data contribute to the correlation among observed...

We establish nonparametric identification of auction models with continuous unobserved heterogeneity using three consecutive order statistics of bids. We then propose sieve maximum likelihood estimators for estimating the unobserved heterogeneity distribution and the value distributions jointly....