ArticleScientific data2026
A large-scale dataset of choice and response-time data in intertemporal choice.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- A large-scale dataset of choice and response-time data in intertemporal choice.Scientific data · 2026Article
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Authors and funding
2 authors.
Funding
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Abstract
The study of intertemporal choices (ITC) plays a vital role in psychological and behavioral economics research. Models of intertemporal choice (ITC) have traditionally focused on choices. A growing interest in the underlying cognitive processes has initiated the development of process models. Process models require process data, and yet ITC research has largely overlooked even the simplest process data - response times (RTs). We present a large-scale dataset of choices and response times from 100 ITC studies with 11,852 subjects and 1,172,644 trials. In addition to behavioral data, we collected various methodological and sample information (e.g., task procedure, incentivization). The objective of the large-scale dataset is to facilitate the development of more nuanced and accurate theories of ITC. The associated ITC Database is open to ongoing submissions and is projected to expand continuously.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.