Literature DB >> 33795906

Adolescent Time and Risk Preferences: Measurement, Determinants and Field Consequences.

Anya Samek1, Andre Gray1, Ashlesha Datar1, Nancy Nicosia2.   

Abstract

We use experimental and survey measures to evaluate the time and risk preferences of nearly 500 adolescents aged 16-19 years old. We find that survey questions about time and risk preferences are weakly correlated with corresponding experiments in which participants trade-off monetary rewards. We find potentially substantial inter-generational transfer of time and risk preferences: parent time and risk preferences are strongly predictive of adolescent preferences for both survey and experimental measures. There are also interesting heterogeneities: girls are less risk seeking and more patient than boys when risk and time preferences are measured via surveys. Interestingly, the survey measures have more predictive power for field outcomes than the experimental measures. Higher patience as measured by the survey is significantly associated with lower body mass index (BMI), less time spent on sedentary activities, more time spent on physical activity and lower consumption of fast food and sweets.

Entities:  

Keywords:  C72; C91; adolescent; field experiment; measurement; parents; risk preferences; time preferences

Year:  2021        PMID: 33795906      PMCID: PMC8009336          DOI: 10.1016/j.jebo.2020.12.023

Source DB:  PubMed          Journal:  J Econ Behav Organ        ISSN: 0167-2681


  36 in total

1.  Delay discounting of real and hypothetical rewards.

Authors:  Gregory J Madden; Andrea M Begotka; Bethany R Raiff; Lana L Kastern
Journal:  Exp Clin Psychopharmacol       Date:  2003-05       Impact factor: 3.157

2.  Risk Preference: A View from Psychology.

Authors:  Rui Mata; Renato Frey; David Richter; Jürgen Schupp; Ralph Hertwig
Journal:  J Econ Perspect       Date:  2018

3.  Time orientation and eating behavior: Unhealthy eaters consider immediate consequences, while healthy eaters focus on future health.

Authors:  Fania C M Dassen; Katrijn Houben; Anita Jansen
Journal:  Appetite       Date:  2015-03-23       Impact factor: 3.868

Review 4.  Obesity and the US military family.

Authors:  Marian Tanofsky-Kraff; Tracy Sbrocco; Kelly R Theim; L Adelyn Cohen; Eleanor R Mackey; Eric Stice; Jennifer L Henderson; Sarah J McCreight; Edny J Bryant; Mark B Stephens
Journal:  Obesity (Silver Spring)       Date:  2013-09-05       Impact factor: 5.002

5.  Trends in overweight and obesity in soldiers entering the US Army, 1989-2012.

Authors:  Adela Hruby; Owen T Hill; Lakmini Bulathsinhala; Craig J McKinnon; Scott J Montain; Andrew J Young; Tracey J Smith
Journal:  Obesity (Silver Spring)       Date:  2015-01-22       Impact factor: 5.002

6.  Obese women show greater delay discounting than healthy-weight women.

Authors:  Rosalyn E Weller; Edwin W Cook; Kathy B Avsar; James E Cox
Journal:  Appetite       Date:  2008-04-18       Impact factor: 3.868

7.  Predicting (un)healthy behavior: A comparison of risk-taking propensity measures.

Authors:  Helena Szrek; Li-Wei Chao; Shandir Ramlagan; Karl Peltzer
Journal:  Judgm Decis Mak       Date:  2012-11

8.  Accuracy of BMI correction using multiple reports in children.

Authors:  Madhumita Bonnie Ghosh-Dastidar; Ann C Haas; Nancy Nicosia; Ashlesha Datar
Journal:  BMC Obes       Date:  2016-09-13

9.  Intergenerational transfer of time and risk preferences.

Authors:  Heather Brown; Marjon van der Pol
Journal:  J Econ Psychol       Date:  2015-08
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