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

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      Data in Brief
      Elsevier

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          Abstract

          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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          Most cited references6

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          Risk Aversion and Incentive Effects

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            INDIVIDUAL RISK ATTITUDES: MEASUREMENT, DETERMINANTS, AND BEHAVIORAL CONSEQUENCES

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              Estimating Risk Attitudes in Denmark: A Field Experiment

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                Author and article information

                Contributors
                Journal
                Data Brief
                Data Brief
                Data in Brief
                Elsevier
                2352-3409
                10 April 2018
                June 2018
                10 April 2018
                : 18
                : 1267-1271
                Affiliations
                [a ]Agricultural Economics and Policy Group, ETH Zurich, Sonneggstrasse 33, 8092 Zürich, Switzerland
                [b ]Production Economics Group, Institute for Food and Resource Economics, University of Bonn, Meckenheimer Allee 174, 53115 Bonn, Germany
                [c ]Department of Agricultural Economics and Rural Development, University of Göttingen, Platz der Göttinger Sieben 5, 37073 Göttingen, Germany
                Article
                S2352-3409(18)30367-6
                10.1016/j.dib.2018.04.016
                5996949
                c1234553-d0b3-4636-933e-db19a96cd3d1
                © 2018 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 24 January 2018
                : 28 March 2018
                : 4 April 2018
                Categories
                Economics, Econometrics and Finances

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