PhD in Economics, Oregon State University
BS in Economics, Nankai University
Ke Yang is an associate professor of economics. He teaches Principles of Microeconomics, 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 Journal of Nonparametric Statistics, Economics and Human Biology, and Economics Bulletins and has presented at multiple econometric conferences and seminars.
"More efficient local polynomial regression with random-effects panel data models", Revised & Resubmitted at Econometric Review.
"Semi-Parametric Regression Models and Connecticut’s Non-Profit Hospital Costs", with Jeffrey P. Cohen and Jeffrey P. Osleeb, Resubmission Invited at Regional Science and Urban Economics.
"Nonparametric regression on panel data models with binary responses: a survey," Forthcoming at Southwestern Economic Review.
"An improved local-linear estimator for nonparametric regression with autoregressive errors," Economics Bulletin, 2013, Vol. 33 No. 1 pp. 19-27.