Evidence map›Paper›PMID 35472630›Full record

ArticleBehavioural processes2022

Behavioral economic demand modeling chronology, complexities, and considerations: Much ado about zeros.

Mikhail N Koffarnus, Brent A Kaplan, Christopher T Franck, Mark J Rzeszutek, Haily K Traxler

Abstract read
In one paragraph

Article in Behavioural processes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Review
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  9. Review
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  11. Notes on demand: Conceptual and empirical benefits of applying Rachlin's discounting equation to demand data.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023
    Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mikhail N KoffarnusUniversity of Kentucky, Department of Family and Community Medicine, 2195 Harrodsburg Rd., Suite 125, Lexington, KY 40504, USA. Electronic address: koffarnus@uky.edu.
Brent A KaplanUniversity of Kentucky, Department of Family and Community Medicine, 2195 Harrodsburg Rd., Suite 125, Lexington, KY 40504, USA. Electronic address: brentkaplan@uky.edu.
Christopher T FranckVirginia Tech, Department of Statistics, 250 Drillfield Dr., Blacksburg, VA 24061, USA. Electronic address: chfranck@vt.edu.
Mark J RzeszutekUniversity of Kentucky, Department of Family and Community Medicine, 2195 Harrodsburg Rd., Suite 125, Lexington, KY 40504, USA. Electronic address: mark.rzeszutek@uky.edu.
Haily K TraxlerUniversity of Kentucky, Department of Family and Community Medicine, 2195 Harrodsburg Rd., Suite 125, Lexington, KY 40504, USA. Electronic address: haily.traxler@uky.edu.

Funding

NRSA Training CoreTL1TR001997 · NCATS · UNIVERSITY OF KENTUCKY · PI PENDERGAST, JULIE S, STOOPS, WILLIAM WALTON · 2016 to 2025
$4.2M
Remote alcohol monitoring to facilitate abstinence reinforcement with an underserved populationR01AA026605 · NIAAA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI KOFFARNUS, MIKHAIL NIKOLAAS · 2018 to 2022
$3.3M
NCATS NIH HHS TL1 TR001997NIAAA NIH HHS R01 AA026605
6 · The paper itself

Abstract

Behavioral economic demand has been shown to have high utility in quantifying the value or consumption of a commodity. Demand describes the relationship between cost and consumption of a commodity, and tends to be curvilinear with consumption approaching zero as the cost increases to a sufficiently high cost to suppress consumption completely. Over a period spanning greater than three decades, behavioral economists have made great strides in the modeling of demand and addressing analytical challenges, although this work is not complete and unresolved challenges remain. The analytical challenges associated with modeling zeros both when they arise as consumption values of zero and when consumption at zero cost is assessed have been a substantial part of this evolution in models. The goals of this methodological review are to provide a historical overview of the major behavioral economic demand models that have been proposed, describe some of the common difficulties with analyzing behavioral economic demand, and discuss general considerations for the analysis of demand. In an environment with evolving and multiple competing analytical practices, we conclude that researchers can maximize scientific rigor by embracing transparency in their analysis choices and employing techniques such as sensitivity analyses to determine if their analysis choices impact the conclusions of their experiments.

Indexed as

Economics, BehavioralMotivationBehavioral economic demandNonlinear mixed effect modelsPurchase taskStatistical modeling

Identifiers

PMID35472630
PMCPMC10583856

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

None linked

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.