Lectures and invited talks on expectations, learning and policy
- University of Bamberg, Germany, Second Behavioral Macroeconomics Workshop, June 2019, Keynote talk, "Adaptive Learning in Macroeconomics".
- UC Riverside Distinguished Speaker Seminar, Nov. 19, 2018, "Adaptive Learning and Monetary Policy"
- University of the Basque Country, Bilbao, Spain, May 2018, Keynote talk "Learning to Optimize".
- Amsterdam conference on Expectations in Dynamic Macroeconomic Models, September 6, 2016, invited talk "Tutorial: Adaptive Learning and Monetary Policy"
- Workshop of the Australasian Macroeconomic Society, invited plenary talk, "Learning to Optimize: Theory and Applications," December 12, 2015, University of New South Wales, Sydney.
- Theory and Experimental Macroeconomics, keynote talk, "Learning in Macroeconomics: some recent developments and experimental implications", June 10, 2014, Barcelona, Graduate School of Economics.
- INEXC Paris June 2013 Conference on Expectational Coordination, invited talk on "Learning and the Stock Market: price dynamics and bubbles".
- FRB St. Louis conference on Expectations in Dynamic Macroeconomic Models, August 2 - 4, 2012, keynote talk “Adaptive Learning in Macroeconomic Models: some methodological issues”
- Central Bank of Chile Center for Mathematical Modeling, University of Chile, Santiago, workshop on Theoretical questions around the economic crisis, May 2011, invited talk on Adaptive Learning
- University of St. Andrews, School of Economics and Finance, PhD Workshop Series, March 2010 (sponsored by SIRE and GRADskills), Expectations, Learning and Macroeconomic Policy, Lecture 1, Lecture 2, Lecture 3, Lecture 4
- University Of Paris X - Nanterre, Sept. 2007, Learning and Monetary Policy, Lecture 1, Lecture 2, Lecture 3, Lecture 4.
- IMF Institute, August 2007, talk on Monetary Policy and Adaptive Learning: an overview
Miscellaneous Commentary on Macroeconomic Policy
- VideoVox interview "Pessimism and the ZLB" in connection with presentation at July 2017 Bank of England conference, Applications of Behavioural Economics and Multiple Equilibrium Models to Macroeconomic Policy
- Blog post on Economist's View, Dec 30, 2015, 'The Neo-Fisherian View and the Macro Learning Approach' (with Bruce McGough).
- Video & Economist's View link: The Dynamic Properties of New Keynesian Models, Sept. 1, 2010.
- Section 3.3.2 Liquidity Traps and Deflationary Spirals of "Learning and Macroeconomics" (with Seppo Honkapohja), Annual Review of Economics, Vol. 1, 2009.
- Commentary article in Register Guard, August 2, 2009, on Fiscal policy in deep recessions
- Earlier Register Guard guest column, Dec. 20, 2001, written during the 2001 recession: State badly needs a rainy day fund
Research Working Papers
A Unified Model of Learning to Forecast (with Christopher G. Gibbs and Bruce McGough), October 2020, PRELIMINARY Are Long-horizon Expectations (De-) stabilizing? Theory and Experiments (with Cars Hommes, Bruce McGough and Isabelle Salle), February 2021 Bounded Rationality and Unemployment Dynamics (with David Evans and Bruce McGough), May 2021 Expectations, Stagnation and Fiscal Policy: a Nonlinear Analysis August 2020 (with Kaushik Mitra and Seppo Honkapohja). This replaces earlier Expectations, Stagnation and Fiscal Policy Aug. 1, 2017. Agent-level Adaptive Learning (with Bruce McGough) Oct. 2020, in press, Oxford Research Encyclopedia of Economics and Finance. This contribution includes discussion of methodology used in research funded by NSF Grant No. SES-1559209. Learning to Optimize revised April 18, 2018 (with Bruce McGough) Stable Finite-State Markov Sunspots (with Bruce McGough) Adaptive Learning, Endogenous Inattention and Changes in Monetary Policy (with William Branch, John Carlson and Bruce McGough)
Recent Published Papers --electronic reprints available on request
Published papers continued: electronic reprints available on request
Contact me via
- Office mailing address
- Department of Economics
- 1285 University of Oregon
- Eugene, OR 97403-1285, USA
- E-mail to gevans "at" uoregon "dot" edu
- Office phone: (541)-346-4662
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