Gender, risk preference and willingness to compete in a random sample of the Swedish population
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- Boschini, Anne & Dreber, Anna & von Essen, Emma & Muren, Astri & Ranehill, Eva, 2018. "Gender, risk preferences and willingness to compete in a random sample of the Swedish population," Working Paper Series 10/2018, Stockholm University, Swedish Institute for Social Research.
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- Boschini, Anne & Dreber, Anna & von Essen, Emma & Muren, Astri & Ranehill, Eva, 2018.
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- Boschini, Anne & Dreber, Anna & von Essen, Emma & Muren, Astri & Ranehill, Eva, 2015. "Gender and altruism in a random sample," Research Papers in Economics 2015:7, Stockholm University, Department of Economics, revised 29 Jan 2018.
- Elle Parslow & Eva Ranehill & Niklas Zethraeus & Liselott Blomberg & Bo Schoultz & Angelica Lindén Hirschberg & Magnus Johannesson & Anna Dreber, 2019.
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Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(2), pages 149-169, December.
- Parslow, Elle & Ranehill, Eva & Zethraeus, Niklas & Blomberg, Liselott & von Schoultz, Bo & Lindén Hirschberg, Angelica & Johannesson, Magnus & Dreber, Anna, 2019. "The digit ratio (2D:4D) and economic preferences: no robust associations in a sample of 330 women," Working Papers in Economics 750, University of Gothenburg, Department of Economics.
- Diemo Urbig & Werner Bönte & Vivien D. Procher & Sandro Lombardo, 2020.
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Small Business Economics, Springer, vol. 55(1), pages 193-214, June.
- Diemo Urbig & Werner Boente & Vivien D. Procher & Sandro Lombardo, 2020. "Entrepreneurs embrace competition: Evidence from a lab-in-the-field study," Schumpeter Discussion Papers sdp20001, Universitätsbibliothek Wuppertal, University Library.
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More about this item
Keywords
Gender differences; competitiveness; risk-taking; experiment; random representative sample;All these keywords.
JEL classification:
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
- D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
NEP fields
This paper has been announced in the following NEP Reports:- NEP-EUR-2018-09-17 (Microeconomic European Issues)
- NEP-EXP-2018-09-17 (Experimental Economics)
- NEP-GEN-2018-09-17 (Gender)
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