Details about Eric Gaus

Access statistics for papers by Eric Gaus.

Last updated 2025-04-09. Update your information in the RePEc Author Service.

Short-id: pga655

Working Papers

2015

1. Characterizing Investor Expectations for Assets with Varying Risk
   Working Papers, Ursinus College, Department of Economics
   See also Journal Article Characterizing investor expectations for assets with varying risk, Research in International Business and Finance, Elsevier (2017) (2017)

2014

2. Adaptive Learning, Heterogeneous Expectations and Forward Guidance
   Working Papers, Ursinus College, Department of Economics View citations (4)
3. Estimation of Constant Gain Learning Models
   Working Papers, Ursinus College, Department of Economics View citations (2)
4. What does the Yield Curve imply about Investor Expectations?
   Working Papers, Ursinus College, Department of Economics
   See also Journal Article What does the yield curve imply about investor expectations?, Journal of Macroeconomics, Elsevier (2018) (2018)

2013

5. Learning and Loss Functions: Comparing Optimal and Operational Monetary Policy Rules
   Working Papers, Ursinus College, Department of Economics
6. Time-Varying Parameters and Endogenous Learning Algorithms
   Working Papers, Ursinus College, Department of Economics View citations (4)

2012

7. Robust Stability of Monetary Policy Rules under Adaptive Learning
   Working Papers, Ursinus College, Department of Economics View citations (2)

Journal Articles

2018

1. What does the yield curve imply about investor expectations?
   Journal of Macroeconomics, 2018, 57, (C), 248-265
   See also Working Paper What does the Yield Curve imply about Investor Expectations?, Working Papers (2014) (2014)

2017

2. Characterizing investor expectations for assets with varying risk
   Research in International Business and Finance, 2017, 39, (PB), 990-999
   See also Working Paper Characterizing Investor Expectations for Assets with Varying Risk, Working Papers (2015) (2015)

Chapters

2019

1. A New Approach to Modeling Endogenous Gain Learning
   A chapter in Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part A, 2019, vol. 40A, pp 203-227 View citations (1)