ReviewJournal of the experimental analysis of behavior2023
Reliability and validity of behavioral-economic measures: A review and synthesis of discounting and demand.
Review in Journal of the experimental analysis of behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Twenty-five years of simulated demand: A bibliometric and systematic review of hypothetical drug purchase tasks.Journal of the experimental analysis of behavior · 2026Pooled it
- Family History of Problem Drinking is Associated With Reduced Sensitivity of Alcohol Demand to Next-Day Responsibilities: A Replication and Extension.Journal of studies on alcohol and drugs · 2026Article
- Is toke cheap? Correspondence between cannabis demand and purchase in the laboratory.Addiction (Abingdon, England) · 2026Article
- Associations Between Steep Delay Discounting and Punishment Learning.Computational psychiatry (Cambridge, Mass.) · 2026Article
- Operant demand for cigarettes varies by unit of purchase: Comparing purchasing of packs and individual cigarettes.Experimental and clinical psychopharmacology · 2025Article
- Exploring the suitability of cannabis use with next-day responsibilities: A behavioral-economic and qualitative study.Journal of the experimental analysis of behavior · 2025Article
- Recent Experience Affects Delay Discounting: Evidence across Temporal Framing, Signs, and Magnitudes.Perspectives on behavior science · 2024Article
- Delay discounting is associated with addiction and mental health measures while controlling for health behaviors and health barriers in a large US sample.Addictive behaviors reports · 2024Article
- Examining the effect of cannabis cues on cannabis demand in sleep, driving, and typical drug-use contexts.Drug and alcohol dependence · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
This review sought to synthesize the literature on the reliability and validity of behavioral-economic measures of demand and discounting in human research, introduce behavioral-economic research methodologies for studying addictive behaviors, discuss gaps in the current literature, and review areas for future research. A total of 34 studies was included in this review. The discounting literature showed similar responding regardless of whether hypothetical or actual outcomes were used, though people tended to discount the outcome presented first more steeply, suggesting order effects. Although delay-discounting measures seem to show temporal stability, exceptions were found for probability- and experiential-discounting tasks. The demand literature also demonstrated similar responding regardless of outcome type; however, some demand indices showed exceptions. Randomized price sequences tended to show modest increases in O
Indexed as
Identifiers
What OpenQuestion holds
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.