지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2013.1
- 수록면
- 205 - 236 (32page)
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초록· 키워드
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The social learning literature shows that when agents learn from the actions of others (in addition to their own private information) herd behaviour can arise. In some cases this may take the form of agents entering into an information cascade. Social learning has the potential to provide insights into many areas involving choice including how people choose their political leaders, join public rallies, purchase stocks or potentially the decision to engage in criminal activities. In the application of social learning it has been asserted that the underlying assumptions are unrealistic and the characteristics associated with social learning are not robust to a relaxation of these assumptions. This paper reviews the growing literature on social learning in relation to these claims.
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참고문헌 (28)
참고문헌 신청
Acemoglu, D. / 2011 / Bayesian learning in social networks / The Review of Economic Studies 78 (4) : 1201 ~ 1236
Alevy, J. / 2007 / Information cascades: Evidence from a field experiment with financial market professionals / Journal of Finance 62 (1) : 151 ~ 180
Anderson, L. / 1997 / Information cascades in the laboratory / American Economic Review 87 (5) : 847 ~ 862
Anderson, L. / 2001 / Payoff effects in information cascade experiments / Economic Inquiry 39 (4) : 609 ~ 615
Avery, C. / 1998 / Multidimensional uncertainty and herd behavior in financial markets / American Economic Review 88 (4) : 724 ~ 748
Alevy, J. / 2007 / Information cascades: Evidence from a field experiment with financial market professionals / Journal of Finance 62 (1) : 151 ~ 180
Anderson, L. / 1997 / Information cascades in the laboratory / American Economic Review 87 (5) : 847 ~ 862
Anderson, L. / 2001 / Payoff effects in information cascade experiments / Economic Inquiry 39 (4) : 609 ~ 615
Avery, C. / 1998 / Multidimensional uncertainty and herd behavior in financial markets / American Economic Review 88 (4) : 724 ~ 748
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