Ke Yang

Education

PhD in Economics, Oregon State University

BS in Economics, Nankai University

Ke Yang is a professor of economics. He teaches Business Data Mining, Business Analytics, Business Statistics, and Quantitative Decision Making.

Yang's recent papers focus on some recently developed kernel regression techniques aiming at additive model and panel data models. He also works on applying the nonparametric method to the production function estimation and health economics. Yang has published in journals like Econometric Reviews, Journal of Housing Economics, Journal of Nonparametric Statistics, Economics and Human Biology, and Economics Bulletins and has presented at multiple econometric conferences and seminars.

Peer Reviewed Journal Articles

Pollution Abatement Costs and Technical Change under different Environmental Regulations, (with H. Liu, K. Owens and C. Zhang), China Economic Review Volume 62, August 2020, 101497.

2. Proximity to a water supply reservoir and dams: is there spatial heterogeneity in the effects on housing prices? (with J. P. Cohen & J. Danko), Journal of Housing Economics, Volume 43, 2019, pp.14-22.

3. More efficient local polynomial regression with random-effects panel data models, Econometric Reviews, Volume 37, 2018 - Issue 7, pp. 760-776. (Published online: 04 Jun 2016)

4. Semi-Parametric Regression Models and Connecticut’s Non-Profit Hospital Costs, with J. P. Cohen and J. P. Osleeb, Regional Science and Urban Economics, Volume 49, November 2014, pp. 252-261.

5. Non-parametric regression on panel data models with binary responses: a survey, Southwestern Economic Review, 2014, Vol. 41, pp. 153-165.

6. An improved local-linear estimator for non-parametric regression with autoregressive errors, Eco[1]nomics Bulletin, 2013, Vol. 33 No. 1 pp. 19-27.

7. Multivariate local polynomial regression with autocorrelated errors, Economics Bulletin, 2012, Vol. 32 No. 4 pp. 3298-3305.

8. Limit-pricing and learning-by-doing: a dynamic game with incomplete information, International journal of Business and Economics, 2010, Vol.9, N0. 3, pp. 201-212.

9. Brainstorm: Occupational choice, bipolar illness and creativity, with C. H. Tremblay and S. Grosskopf, Economics and Human Biology, 2010, Volume 8, Issue 2, pp. 233-241.

10. Finite sample performance of kernel-based regression methods for nonparametric additive models under common bandwidth selection criterion, with C. Martins-Filho, Journal of Nonparametric Statistics, 2007, Volume 19, Issue 1 , pp. 23-62.

Book Chapters

11. Inverse Probability Tilting With Heterogeneous Average Treatment Effects (with J.P. Cohen), 2021, Urban Economics, Real Estate, Transportation and Public Policy, edited by Donald Siegel and Jeffrey Cohen, forthcoming. 12. A Non-Parametric Examination of Emerging Markets Financial Integration, (with S. Wahab, B. Kolluri and M. Wahab), 2020, The Handbook of Financial Econometrics, Mathematics, Statistics, and Technology Edited by Cheng-Few Lee, Volume 4, chapter 118, page 4043-4074.