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Record W4401931553 · doi:10.1002/bdm.2407

Reference‐Dependent Risk‐Taking in the NBA

2024· article· en· W4401931553 on OpenAlexaboutno aff
Daniel Mochon

Bibliographic record

VenueJournal of Behavioral Decision Making · 2024
Typearticle
Languageen
FieldDecision Sciences
TopicDecision-Making and Behavioral Economics
Canadian institutionsnot available
Fundersnot available
KeywordsPoint (geometry)Prospect theoryEconometricsQuarter (Canadian coin)Reference modelPsychologyComputer scienceStatisticsEconomicsMathematicsMicroeconomicsGeography

Abstract

fetched live from OpenAlex

ABSTRACT This paper examines whether risk preferences in the NBA are reference‐dependent and attempts to identify the reference point. Using data from 10 NBA seasons (12,890 games), I find that teams are more likely to attempt a riskier three‐point shot (vs. a less risky two‐point shot) when below the reference point than above it, consistent with Prospect Theory. The results further show that teams are not influenced by a single fixed reference point, but instead, their choices depend on the score difference, most recent score change, and pregame expectations. Additionally, the weight given to the reference point changes over the course of the game. Teams show a breakeven effect, such that they are more likely to attempt a three‐point shot when doing so can tie the game. They also show behavior consistent with mental accounting, as the reference point carries more weight at the end of a quarter than at the beginning. These results provide further real‐world evidence for reference‐dependent risk preferences while highlighting the challenge of applying reference‐dependent models to real‐world settings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.979
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0030.001
Open science0.0030.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.239
GPT teacher head0.489
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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