Home

>

On attitude polarization under Bayesian learning with non-additive beliefs

Ample psychological evidence suggests that people’s learning behavior is often prone to a “myside bias” or “irrational belief persistence” in contrast to learning behavior exclusively based on objective data. In the context of Bayesian learning such a bias may result in diverging posterior beliefs and attitude polarization even if agents receive identical information. Such patterns cannot be explained by the standard model of rational Bayesian learning that implies convergent beliefs. As our key contribution, we therefore develop formal models of Bayesian learning with psychological bias as alternatives to rational Bayesian learning. We derive conditions under which beliefs may diverge in the learning process despite the fact that all agents observe the same – arbitrarily large – sample, which is drawn from an “objective” i.i.d. process. Furthermore, one of our learning scenarios results in attitude polarization even in the case of common priors. Key to our approach is the assumption of ambiguous beliefs that are formalized as non-additive probability measures arising in Choquet expected utility theory. As a specific feature of our approach, our models of Bayesian learning with psychological bias reduce to rational Bayesian learning in the absence of ambiguity.

Working Paper 104
1 July 2008
RELATED JOURNAL:

Forthcoming, Journal of Risk and Uncertainty
SHARE THIS Working Paper PUBLICATION:
20 September 2012
Publication Type: Working Paper
JEL Code: C79, D83

Related South Africa’s Cities and Growth Spatial Challenges and Policy Interventions Content

Request for Proposals: The role of cities as drivers of growth and employment
Background Urbanization in South Africa is expected to reach 80% by...
Call for Work
South Africa’s future will be decided in our cities
Discussion Document 14 South Africa’s cities face multiple, overlap...
Dieter von Fintel, Justin Visagie, Ivan Turok, Takwanisa Machemedze, Claus Rabe, Sebastian Galiani, Edward Glaeser
Discussion Document
Monitoring South Africa’s metropolitan economies: A survey of the data landscape
Discussion Document 13 Disparities in data across different metropo...
Dieter von Fintel
Discussion Document
Cities, productivity and Jobs in SA: Problems and potential
Discussion Document 12 Cities contribute to national prosperity bec...
Ivan Turok, Justin Visagie
Discussion Document
Place-based economic policies: international lessons for South Africa
Discussion Document 11 Place-based policies are designed to support...
Harris Selod, Claus Rabe
Discussion Document
What luminosity data can and cannot reveal about South Africa’s urban economies
Discussion Document 10 As novel types of data are becoming availabl...
Takwanisa Machemedze
Discussion Document
Crime: A policy-oriented survey
Discussion Document 9 South Africa has a reputation for having high...
Sebastian Galiani
Discussion Document
Virtual CDE Workshop on SA Cities and Growth
Urban economics has provided powerful insights into how the charact...
Workshop

Search Resources

Ground Floor Brookside Building
11 Imam Haron Road
Claremont, 7700
Cape Town

PostNet Suite # 109
Private Bag X1005
Claremont 7735
Cape Town

Get Social