This study investigates whether corruption differentially affects contracting through auctions and negotiations. Using data on Chinese land-market transactions, where corruption is known to be present, we first show that, on average, it exerts similar effects on transactions carried out via...

We study the determination of market power at the firm and industry levels when heterogeneous firms compete for sales to ex ante homogeneous buyers in a market with both directed and random search and free entry of firms that differ in productivity. Search and the distribution of productivity...

We develop and implement methods for determining whether relaxing sparsity constraints on portfolios improves the investment opportunity set for risk-averse investors. We formulate a new estimation procedure for sparse second-order stochastic spanning based on a greedy algorithm and Linear...

The present note provides an initial theoretical explanation of the way norm regularizations may provide a means of controlling the non-asymptotic probability of False Dominance classification for empirically optimal portfolios satisfying empirical Stochastic Dominance restrictions in an iid...

This paper builds on recent econometric developments establishing distribution-free statistical inference methods for quantile means and income shares for a sample distribution of microdata to propose an approach to empirically Implement several dominance criteria for comparing economic...

This paper combines quantile-based disaggregative statistics and standard error formulas for the statistics to examine changes in the distribution of individuals' incomes in Canada within a standard statistical inference framework. Analysis focuses on decile means and income shares, Lorenz...

We develop and implement methods for determining whether relaxing sparsity constraints on portfolios improves the investment opportunity set for risk-averse investors. We formulate a new estimation procedure for sparse second-order stochastic spanning based on a greedy algorithm and Linear...

The present note provides an initial theoretical explanation of the way norm regularizations may provide a means of controlling the non-asymptotic probability of False Dominance classification for empirically optimal portfolios satisfying empirical Stochastic Dominance restrictions in an iid...

This paper utilizes a Banach-type fixed point theorem in a functorial context to develop Universal Choice Spaces for addressing decision problems, focusing on expected utility and preference uncertainty. This generates an infinite sequence of optimal selection problems involving probability...

Within the Frequentist Model Averaging framework for linear models, we introduce a multi-objective model averaging methodology that extends both the generalized Jackknife Model Averaging (JMA) and the Mallows Model Averaging (MMA) criteria. Our approach constructs estimators based on stochastic...