A Behavioral Economic Analysis of Demand for Texting while Driving

Hayashi, Yusuke; Friedel, Jonathan E.; Foreman, Anne M.; Wirth, Oliver

doi:10.1007/s40732-019-00341-w

Cited by 14 publications

(10 citation statements)

References 84 publications

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“…For example, any manipulation that increases the relative dominance of the impulsive system, such as presenting cues associated with the reward of interest [96] or cues associated with a strong reward but not related to the reward of interest [97,98], should be associated with increased occurrence of the impulsive choice of texting while driving. Along this line, assessing the degree of valuation of texting while driving [99] as an assessment of the strength of the impulsive system may be useful (see [46] for the theoretical foundation). Another manipulation of interest would be one that increases the relative dominance of the executive system, which includes threat appeals or episodic future thinking [100,101], executive function training [102], mindfulness-based interventions [103,104], and contingency management [105,106].…”

Section: Discussionmentioning

confidence: 99%

Threat appeals reduce impulsive decision making associated with texting while driving: A behavioral economic approach

et al. 2019

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The primary purpose of the present study was to examine the effectiveness of threat appeals in influencing impulsive decision making associated with texting while driving. The participants in the treatment group were exposed to a threatening message about the danger of texting while driving, whereas those in the control group were exposed to a non-threatening message. Following the exposure to either message, the participants completed a delay-discounting task that assessed the degree of impulsive decision making in a hypothetical texting-while-driving scenario. A comparison between the groups revealed that the threat appeals reduced the degree of impulsive decision making associated with texting while driving. In addition, the threat appeals led to greater anticipated regret from texting while driving, less favorable attitudes toward texting while driving, and decreased intentions to text while driving in the future in the treatment group. These results suggest that video-based threat appeals are promising intervention strategies for the public health challenge of texting while driving. Implications from the behavioral economic perspective are discussed.

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Section: Discussionmentioning

confidence: 99%

Threat appeals reduce impulsive decision making associated with texting while driving: A behavioral economic approach

et al. 2019

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“…The concept of behavioral economic demand (hereafter "demand") has proven useful in a variety of settings including drug addiction (Acuff et al, 2020;Aston & Cassidy, 2019;González-Roz et al, 2019;Strickland, Campbell, et al, 2020a;Strickland & Lacy, 2020), public policy (Hursh & Roma, 2013), health behaviors (Bickel et al, 2016), and others (Gilroy, Kaplan, & Leader, 2018a;Hayashi et al, 2019;Henley et al, 2016;Kaplan et al, 2017;Reed et al, 2016;Strickland, Marks, & Bolin, 2020b;Yates et al, 2019). Demand has been evaluated in both humans and nonhuman animals (Bentzley et al, 2012;Fragale et al, 2017;Strickland & Lacy, 2020).…”

Section: Introductionmentioning

confidence: 99%

Applying Mixed-Effects Modeling to Behavioral Economic Demand: An Introduction

et al. 2021

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Behavioral economic demand methodology is increasingly being used in various fields such as substance use and consumer behavior analysis. Traditional analytical techniques to fitting demand data have proven useful yet some of these approaches require preprocessing of data, ignore dependence in the data, and present statistical limitations. We term these approaches "fit to group" and "two stage" with the former interested in group or population level estimates and the latter interested in individual subject estimates. As an extension to these regression techniques, mixed-effect (or multilevel) modeling can serve as an improvement over these traditional methods. Notable benefits include providing simultaneous group (i.e., population) level estimates (with more accurate standard errors) and individual level predictions while accommodating the inclusion of "nonsystematic" response sets and covariates. These models can also accommodate complex experimental designs including repeated measures. The goal of this article is to introduce and provide a high-level overview of mixed-effects modeling techniques applied to behavioral economic demand data. We compare and contrast results from traditional techniques to that of the mixed-effects models across two datasets differing in species and experimental design. We discuss the relative benefits and drawbacks of these approaches and provide access to statistical code and data to support the analytical replicability of the comparisons.

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“…A more recent addition to the HPT literature is the probability purchase task, whereby participants are asked to indicate the probability of purchasing less-frequently purchased items (Roma et al, 2016; Roma, Reed, DiGennaro Reed, & Hursh, 2017). Probability purchase tasks have been used to assess the demand for a variety of “big-ticket” commodities, such as expensive trips, and “small-ticket” commodities, such as low-cost food items (Roma et al, 2016), indoor tanning packages (Reed, Kaplan, Becirevic, Roma, & Hursh, 2016), and text messaging (Hayashi, Friedel, Foreman, & Wirth, 2019). With respect to alcohol-related commodities, a probability HPT recently was used to assess demand for fake IDs (Naudé et al, 2019) and demonstrated the expected inverse relationship between price and probability of purchase found in virtually every alcohol demand study to date (see Kaplan et al, 2018).…”

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confidence: 99%

The behavioral economics of the bottomless cup: The effects of alcohol cup price on consumption in college students.

Morrell¹,

Reed²,

Martinetti³

2021

Experimental and Clinical Psychopharmacology

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Heavy drinking among college students is a public health concern in part due to the accessibility of alcohol and promotions such as “happy hours,” which discount the price of alcohol. In addition, consuming alcohol at unregulated off-campus parties may result in greater alcohol consumption, higher blood alcohol concentrations, and increased negative consequences. The purpose of the current study was to assess demand for a refillable red “Solo” cup using a new hypothetical purchase task, the Cup-Price Purchase Task (CPPT). The CPPT asked college student participants to read a description of an off-campus party drinking context and indicate the likelihood of purchasing a refillable cup at prices ranging from $0.00-$60.00. We found that at cup prices of $5.00 or below, the likelihood of purchase was 75% or higher; however, probability of purchase decreased to about 47% at a cup price of $10.00. In addition, several CPPT behavioral economic parameters were positively correlated with the Alcohol Purchase Task (APT) and other alcohol-related measures, providing support for the CPPT’s construct validity. Finally, hierarchical regression analyses revealed that maximum expenditure on the CPPT was a unique predictor of both alcohol consumption and alcohol-related consequences, even after controlling for the APT metrics. These findings may inform future studies investigating the behavioral economics of high-risk drinking situations and potential strategies to reduce binge drinking.

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A Behavioral Economic Analysis of Demand for Texting while Driving

Cited by 14 publications

References 84 publications

Threat appeals reduce impulsive decision making associated with texting while driving: A behavioral economic approach

Threat appeals reduce impulsive decision making associated with texting while driving: A behavioral economic approach

Applying Mixed-Effects Modeling to Behavioral Economic Demand: An Introduction

The behavioral economics of the bottomless cup: The effects of alcohol cup price on consumption in college students.

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