We contribute to the literature on the optimal design of auction mechanisms for the procurement of nature conservation activities. We use an economic experiment to examine whether the market efficiency of conservation auctions increases or decreases with repetition. Theory predicts that...

We present a general model of bidding behavior in wildlife corridor auctions. Given (i) some spatial configuration of landowners in a landscape, (ii) the landowners' opportunity costs, and (iii) the value of establishing the corridor, our model predicts individual landowners' bids, overall...

Aftermarket social welfare is largely determined by a procurement auction design. Auctions select firms for operating aftermarkets, and auctions may also impose restrictions on aftermarket prices the winner can charge. This paper compares aftermarket social welfare generated by first-price and...

Using commuting data for Brisbane, Australia, we find that accounting for measurement error in travel times causes the magnitude of parameters in mode and location choice models to increase approximately three-fold and 30-40%, respectively. Errors appear to be somewhat systematic, with travel...

This paper introduces a novel score-driven dynamic factor model designed for filtering cross-sectional co-movements in panels of time series. The model is formulated using elliptical distribution for the noise terms, thus allowing the update of the time-varying parameter to be potentially...

We develop a score-driven time-varying parameter model where no particular parametric error distribution needs to be specified. The proposed method relies on a versatile spline-based density, which produces a score function that follows a natural cubic spline. This flexible approach nests the...

We study the strong consistency and asymptotic normality of the maximum likelihood estimator for a class of time series models driven by the score function of the predictive likelihood. This class of nonlinear dynamic models includes both new and existing observation driven time series models....