The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Gender differences in the contribution patterns of equity-crowdfunding investors
Open accessAbstract
This paper is an exploratory attempt to understand gender-related differences in the behavior of investors in firms seeking equity financing. Using data from the Swedish equity crowdfunding platform FundedByMe, we find that female investors are less likely to invest in the equity of firms that are younger and high tech and have a higher percentage of equity offerings. This pattern seems consistent with a greater risk aversion in female versus male investors. Furthermore, female investors are more likely to invest in projects in which the proportion of male investors is higher.
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Self-efficacy: Toward a unifying theory of behavioral change
Bandura, A. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.191 · Cited by 43,925
Availability: A heuristic for judging frequency and probability
Tversky, A., & Kahneman, D. (1973) · Cognitive Psychology · doi:10.1016/0010-0285(73)90033-9 · Cited by 9,984 · cited 1×
“Though heuristics are shortcuts that expedite decisionmaking and save cognitive resources, they are often inaccurate (Tversky and Kahneman 1973).”
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
Belsley, D. A., Kuh, E., & Welsch, R. E. (1980) · Wiley Series in Probability and Statistics · doi:10.1002/0471725153 · Cited by 7,297
A Simple Model of Herd Behavior
Banerjee, A. V. (1992) · The Quarterly Journal of Economics · doi:10.2307/2118364 · Cited by 6,556
Regression Diagnostics -- Identifying Influential Data and Sources of Collinearity
Beaumont, C. D., Belsley, D. A., Kuh, E., & Welsch, R. E. (1981) · The Journal of the Operational Research Society · doi:10.2307/2581267 · Cited by 6,359
Risk Aversion and Incentive Effects
Holt, C. A., & Laury, S. K. (2002) · American Economic Review · doi:10.1257/000282802762024700 · Cited by 5,939
Gender Differences in Preferences
Croson, R., & Gneezy, U. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.2.448 · Cited by 5,694
Stereotypes and prejudice: Their automatic and controlled components
Devine, P. G. (1989) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.56.1.5 · Cited by 5,673
Boys will be Boys: Gender, Overconfidence, and Common Stock Investment
Barber, B. M., & Odean, T. (2001) · The Quarterly Journal of Economics · doi:10.1162/003355301556400 · Cited by 5,276
Moffitt, R. A. (2009) · American Economic Review · doi:10.1257/aer.99.2.660 · Cited by 4,694
Cited by
New players in entrepreneurial finance and why they are there
Block, J. H., Colombo, M. G., Cumming, D. J., & Vismara, S. (2018) · Small Business Economics · doi:10.1007/s11187-016-9826-6 · Cited by 684
Equity crowdfunding: a systematic review of the literature
Mochkabadi, K., & Volkmann, C. K. (2020) · Small Business Economics · doi:10.1007/s11187-018-0081-x · Cited by 304
Does equity crowdfunding democratize entrepreneurial finance?
Cumming, D., Meoli, M., & Vismara, S. (2021) · Small Business Economics · doi:10.1007/s11187-019-00188-z · Cited by 268
Metadata
- Authors
- Mohammadi, A., & Shafi, K.
- Venue
- Small Business Economics
- Published
- 2017-01-20
- Volume
- 50
- Issue
- 2
- Pages
- 275-287
- ISSN
- 0921-898X (ISSN-L)
- 1573-0913
- OpenAlex
- W3124067722
- Cited by
- 308
- References
- 56
- FWCI
- 84.02
- Type
- journal article
- Language
- en
- Open access
- hybrid
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