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Preprint Sep 2026

Testing Conditional Stochastic Dominance via Copula Derivatives

Comparing two populations at the same physical covariate value requires more than conditional means or isolated target-point decisions: researchers may need evidence about an entire conditional-distribution ordering over a continuum, even when covariate margins differ. This paper makes that common-value comparison esti...

Wei-Qi Yang, Wei-Wei Zhuang, Xiao-Jun Song · 0 citations
Open access 2026

Exploration of Suboptimal Modelling Choices—Ordinal Modelling as a Way to Better Measure Effect Size Heterogeneity?

Heterogeneity in population effect sizes has often been suggested as impairing replication success. The validity of this line of argumentation rests on the assumption that reported heterogeneity estimates provide an accurate description of effect size heterogeneity. However, efforts to precisely measure between-study h...

Maximilian Frank, Moritz Heene · 0 citations
Preprint Sep 2026

Measuring Economic Preferences in the Presence of Noise: The Connections Between Choices and Valuations

Past research highlights failures of"procedural invariance"when measuring economic preferences using choices versus valuations. We reassess these failures by examining theoretical connections between choices and valuations when preferences are stable but measurements are noisy and individuals are heterogeneous. Even un...

Ted O'Donoghue, Charles D. Sprenger, P. Sung et al. · 0 citations
Preprint Aug 2026

Tabular Foundation Models and the Unity of Economic Behaviour

Economics uses different behavioural models for risk, time, losses, valuation, and social choice. I study a unified choice experiment in which the same decision makers face all these domains. I hide a decision maker's choices in one domain and ask a frozen tabular foundation model to recover them from that decision mak...

Victor H. Aguiar · 0 citations
Preprint Aug 2026

Quantile restrictions, revealed rankings, and the limits of multinomial choice

This paper analyzes when choice probabilities reveal rankings of deterministic utility indices in semiparametric discrete choice models. It begins with binary choice, where quantile thresholds guarantee ranking recovery, and shows that such thresholds can arise either from behavioral departures from utility maximizatio...

T. Komarova · 0 citations

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