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The Innate Economic Preferences of Language Models

Joy Buchanan, Joshua Foster

arXiv 28 Jul 2026 · Econometrics

arXiv:2607.26288 · PDF · Extracted main text

Abstract

Language models increasingly settle real resource tradeoffs on behalf of principals yet their economic preferences remain unobserved. We demonstrate their generation rule is isomorphic to the random utility model of discrete choice. This allows internal logit scores to structurally identify preferences. Estimating risk attitudes across twelve models in a portfolio task reveals universal but heterogeneous risk aversion. Although models reject strictly dominated options, their elicited preferences fail invariance tests and violate the independence of irrelevant alternatives across varying experimental prompts. Finally, fine tuning establishes that a principal can explicitly engineer a target risk attitude.

Citation extraction

74
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appendix boundary found by appendix_command · 64% of the source is main text. Read the extracted text to check this.

Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1McFadden, Daniel (1972) Conditional logit analysis of qualitative choice behavior1.00064100%
2Apesteguia, Jose and Miguel A Ballester (2018) Monotone stochastic choice models: The case of risk and time preferences0.64422100%
3Bruhin, Adrian, Helga Fehr-Duda, and Thomas Epper (2010) Risk and rationality: Uncovering heterogeneity in probability distortion0.64422100%
4Choi, Syngjoo, Raymond Fisman, Douglas Gale, and Shachar Kariv (2007) Consistency and heterogeneity of individual behavior under uncertainty0.64422100%
5Cohen, Alma and Liran Einav (2007) Estimating risk preferences from deductible choice0.64422100%
6Pezeshkpour, Pouya and Estevam Hruschka (2024) Large language models sensitivity to the order of options in multiple-choice questions0.64422100%
7Train, Kenneth E (2009) Discrete choice methods with simulation0.64422100%
8Varian, Hal R (1992) Microeconomic analysis, vol. 30.64422100%
9Afriat, Sydney N (1967) The construction of utility functions from expenditure data0.40511100%
10Akata, Elif, Lion Schulz, Julian Coda-Forno, Seong Joon Oh, Matthias… (2025) Playing Repeated Games with Large Language Models0.40511100%

Showing the top 10 of 74 scored citations.