Within the independent private-values paradigm, we derive the data-generating process of the winning bid for the last unit sold at sequential English auctions when bidder valuations are draws from one of several different classes of distributions; i.e., in the presence of asymmetries. When the...

One type of regulation that has recently started to attract the attention of policymakers regarding artisanal fisheries is that of Territorial Use Rights (commonly known as TURFs in the literature). TURFs basically consist in the allocation of fishing rights to individuals and/or groups to fish...

Within the independent private-values paradigm, we derive the data-generating process of the winning bid for the last unit sold at multi-unit, sequential, oral, ascending-price auctions when bidder valuations are draws from different distributions; i.e., in the presence of asymmetries. When the...

We analyze the compliance behavior of the small-scale fishery boat-owners of the Galapagos Marine Reserve. Our empirical analysis considers aspects related to the participatory management system of the reserve as determinant factors of the decision to violate the regulations. The econometric...

Using data from the Mid-Atlantic surf clam and ocean quahog fishery, we find that firms with a preference for extreme, rather than moderate, policies are much more likely to participate in public meetings where regulation is determined. We also find that participation rates are higher for...

We show that the higher order biases of instrumental variable statistics in the strong instrument case indicate the degeneracy of the first order asymptotic distributions of these statistics under weak or many instrument asymptotics. We express the higher order approximations using an estimator...

We construct higher order expressions for Wald and Lagrange multiplier (LM) GMM statistics that are based on 2step and continuous updating estimators (CUE). We show that the sensitivity of the limit distribution to weak and many instruments results from superfluous elements in the higher order...

This paper is concerned with Bayesian reduced rank regression when instruments are weak. There have been a number of studies on weak identification problem with the application of reduced rank regression combined with singular value decomposition (SVD) method in the Bayesian framework, see...

In this paper, I develop a quasi empirical likelihood estimator that has good finite-sample properties when there are many moment conditions. I show that the quasi empirical likelihood estimator, which uses semiparametric efficient estimation, is an approximation to the empirical likelihood...

Finite-sample inference methods are developed for quantile regression models. The methods are conservative in that (i) they apply to arbitrary sample sizes without the liberal assumption that sample sizes approach infinity, (ii) they apply when the quantiles are partially or set identified,...