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Data on risk preferences and risk literacy for a sample of German agricultural sciences students

The data presented here contains information on risk preferences, risk literacy and personal characteristics collected from 244 German agricultural sciences students in an online survey in 2015. Two different risk preference elicitation methods have been used. First, we used an iterative multiple pr...

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Detalles Bibliográficos
Autores principales: Meraner, Manuela, Musshoff, Oliver, Finger, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996949/
https://www.ncbi.nlm.nih.gov/pubmed/29900303
http://dx.doi.org/10.1016/j.dib.2018.04.016
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author Meraner, Manuela
Musshoff, Oliver
Finger, Robert
author_facet Meraner, Manuela
Musshoff, Oliver
Finger, Robert
author_sort Meraner, Manuela
collection PubMed
description The data presented here contains information on risk preferences, risk literacy and personal characteristics collected from 244 German agricultural sciences students in an online survey in 2015. Two different risk preference elicitation methods have been used. First, we used an iterative multiple price list (iMPL). Second, a simple self-assessment of risk preferences was used. Moreover, we used two different frames of the iMPL (general and context specific). Inconsistent behavior within the iMPL has been documented. Finally, the dataset includes information on the participants’ risk literacy (using the Berlin Numeracy test), gender, optimism, involvement with agriculture age and mothers’ education. The data is related to the paper: Meraner M, Musshoff O, Finger R. Using involvement to reduce inconsistencies in risk preference elicitation. Journal of Behavioral and Experimental Economics. 2018 73:22–33.
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spelling pubmed-59969492018-06-13 Data on risk preferences and risk literacy for a sample of German agricultural sciences students Meraner, Manuela Musshoff, Oliver Finger, Robert Data Brief Economics, Econometrics and Finances    The data presented here contains information on risk preferences, risk literacy and personal characteristics collected from 244 German agricultural sciences students in an online survey in 2015. Two different risk preference elicitation methods have been used. First, we used an iterative multiple price list (iMPL). Second, a simple self-assessment of risk preferences was used. Moreover, we used two different frames of the iMPL (general and context specific). Inconsistent behavior within the iMPL has been documented. Finally, the dataset includes information on the participants’ risk literacy (using the Berlin Numeracy test), gender, optimism, involvement with agriculture age and mothers’ education. The data is related to the paper: Meraner M, Musshoff O, Finger R. Using involvement to reduce inconsistencies in risk preference elicitation. Journal of Behavioral and Experimental Economics. 2018 73:22–33. Elsevier 2018-04-10 /pmc/articles/PMC5996949/ /pubmed/29900303 http://dx.doi.org/10.1016/j.dib.2018.04.016 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Economics, Econometrics and Finances   
Meraner, Manuela
Musshoff, Oliver
Finger, Robert
Data on risk preferences and risk literacy for a sample of German agricultural sciences students
title Data on risk preferences and risk literacy for a sample of German agricultural sciences students
title_full Data on risk preferences and risk literacy for a sample of German agricultural sciences students
title_fullStr Data on risk preferences and risk literacy for a sample of German agricultural sciences students
title_full_unstemmed Data on risk preferences and risk literacy for a sample of German agricultural sciences students
title_short Data on risk preferences and risk literacy for a sample of German agricultural sciences students
title_sort data on risk preferences and risk literacy for a sample of german agricultural sciences students
topic Economics, Econometrics and Finances   
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996949/
https://www.ncbi.nlm.nih.gov/pubmed/29900303
http://dx.doi.org/10.1016/j.dib.2018.04.016
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