Stay updated with the latest research and technology news
arXiv:2603.03619v1 Announce Type: new Abstract: This article extends the analysis of Atkinson, Foley, and Ganz in "Beyond the Spoiler Effect: Can Ranked-Choice Voting Solve the...
arXiv:2603.03997v1 Announce Type: new Abstract: Spatial autocorrelation in regression models can lead to downward biased standard errors and thus incorrect inference. The most common correction...
arXiv:2603.04105v1 Announce Type: new Abstract: We propose a Random Rule Model (RRM) in which behavior is generated by switching among a small library of transparent,...
arXiv:2603.04109v1 Announce Type: new Abstract: In causal analysis, understanding the causal mechanisms through which an intervention or treatment affects an outcome is often of central...
arXiv:2603.04173v1 Announce Type: new Abstract: We study how to allocate resources to participants who can strategically misrepresent their deservingness at a cost. A principal assigns...
arXiv:2603.04275v1 Announce Type: new Abstract: We introduce inference methods for score decompositions, which partition scoring functions for predictive assessment into three interpretable components: miscalibration, discrimination,...
arXiv:2603.04298v1 Announce Type: new Abstract: We present a new method for computation of the index of completely mixed equilibria in finite games, based on the...
arXiv:2603.04345v1 Announce Type: new Abstract: We study the design of fair allocation rules for the abatement of riparian pollution. To do so, we consider the...
arXiv:2603.03526v1 Announce Type: cross Abstract: Western governments have adopted an assortment of counter-hybrid threat measures to defend against hostile actions below the conventional military threshold....
arXiv:2603.03623v1 Announce Type: cross Abstract: The growing use of unstructured text in business research makes topic modeling a central tool for constructing explanatory variables from...
arXiv:2603.04080v1 Announce Type: cross Abstract: The difference-in-differences (DiD) design is a quasi-experimental method for estimating treatment effects. In staggered DiD with multiple treatment groups and...
arXiv:2603.04226v1 Announce Type: cross Abstract: We study infinite-horizon Markov decision processes (MDPs) where the decision maker evaluates each of her strategies by aggregating the infinite...
arXiv:2603.04276v1 Announce Type: cross Abstract: Large language models (LLMs) are trained on enormous amounts of data and encode knowledge in their parameters. We propose a...
arXiv:2603.04328v1 Announce Type: cross Abstract: We study the deployment performance of machine learning based enforcement systems used in cryptocurrency anti money laundering (AML). Using forward...
arXiv:2311.14032v5 Announce Type: replace Abstract: Counterfactuals in quantitative trade and spatial models are functions of the current state of the world and the model parameters....
arXiv:2409.08773v2 Announce Type: replace Abstract: When treatments are non-randomly assigned, continuous, and yield heterogeneous effects at the same intensity, causal identification becomes particularly challenging. In...
arXiv:2508.12934v2 Announce Type: replace Abstract: Contest success function (CSF) maps contestants' efforts to their winning probability. This paper provides axiomatizations of CSFs with headstarts. The...
arXiv:2508.17301v2 Announce Type: replace Abstract: We study price regulation for a monopolist operating in networked markets with demand spillovers. Achieving efficiency requires price reductions proportional...
arXiv:2511.00935v2 Announce Type: replace Abstract: Advanced space technology systems often face high fixed costs, can serve limited non-government demand, and are significantly driven by non-market...
arXiv:2512.00566v2 Announce Type: replace Abstract: Nonparametric regression and regression-discontinuity designs suffer from smoothing bias that distorts conventional confidence intervals. Solutions based on robust bias correction...
arXiv:2601.13286v2 Announce Type: replace Abstract: The growing adoption of artificial intelligence (AI) technologies has heightened interest in the labor market value of AI related skills,...
arXiv:2404.10900v2 Announce Type: replace-cross Abstract: The classical theory of efficient allocations of an aggregate endowment in a pure-exchange economy has hitherto primarily focused on the...
arXiv:2408.02391v3 Announce Type: replace-cross Abstract: Score-driven (SD) models are a standard tool in statistics and econometrics, with applications in hundreds of published articles in the...
arXiv:2501.13839v2 Announce Type: replace-cross Abstract: We propose a two-step procedure to detect cointegration in high-dimensional settings, focusing on sparse relationships. First, we use the adaptive...