Manuel Mueller-Frank

Assistant Professor, Department of Economics

IESE Business School


[CV]

Contact:

Email: mmuellerfrank(at)iese.edu

Phone: +34 932 534 200

Education:

Ph.D. in Economics, Northwestern University 2010.

Research Interests:

Microeconomic Theory, Economics of Information, Social Networks.

Publications:

"A General Framework for Rational Learning in Social Networks", Theoretical Economics, January 2013, 8(1), 1-40.

"Does one Bayesian Make a Difference?", Journal of Economic Theory, November 2014, 423-452.

"Social Learning with Costly Search", American Economic Journal: Microeconomics, February 2016, 83-109, joint with Mallesh Pai.

"Inferring Beliefs from Actions", Games and Economic Behavior, March 2017, 455-461, joint with Itai Arieli.

"Local Openness: Characterization of a Robustness Concept for Generic Sets in Functions Spaces", Journal of Mathematical Economics, December 2018, 173-178.

"Multi-Dimensional Social Learning", joint with Itai Arieli, Review of Economic Studies, May 2019, Pages 913–940.

Working Papers:

"Social Learning Equilibria", joint with Elchanan Mossel, Allan Sly and Omer Tamuz, May 2019, revision submitted to Econometrica.

"Naive Learning through Probability Matching", joint with Itai Arieli and Yakov Babichenko, February 2019.

"A General Analysis of Sequential Social Learning", joint with Itai Arieli, February 2019, submitted.

"A general analysis of boundedly rational learning in social networks", joint with Claudia Neri, January 2019, revision submitted to Theoretical Economics, (earlier versions were circulated under the titles "Quasi-Bayesian Updating in Social Networks", and "Social Learning in Networks: Theory and Experiments".)

"Manipulating Opinions in Social Networks", October 2018, submitted.

"Truthful Continuous Implementation", joint with Yi-Chun Chen and Mallesh Pai, January 2018, submitted.

"Eliciting Beliefs from Optimal Portfolios", joint with Itai Arieli, November 2017, revision requested by Journal of Mathematical Economics.


Older working papers (some partly but not fully incorporated in later work):

"Robust Non-Bayesian Learning", September 2017.

"Informational versus allocational efficiency of prices", February 2017.

"Price Efficiency and Welfare", January 2016.

"A General Model of Boundedly Rational Observational Learning: Theory and Evidence", joint with Claudia Neri, August 2015.

"Do Online Social Networks Increase Welfare", joint with Mallesh Pai, October 2014.

"Social Learning in Networks: Theory and Experiments", joint with Claudia Neri, December 2013.

"Reaching Consensus in Social Networks", November 2013.

"Religious Institutions and the Creation of Economic Societies", July 2013.

"Market Power, Fully Revealing Prices and Welfare", October 2012.

"Generic Outcomes of Observational Learning", joint with Itai Arieli, July 2012.

"The Robustness of Consensus in Network-Based Non-Bayesian Learning Models", December 2011.

"A Fixed Point Convergence Theorem and its Application to Non-Bayesian Learning", September 2010.