معرفی
Roger Klein is a Professor of Economics at Rutgers University, specializing in Econometrics with a focus on semiparametric models. He previously worked at Bellcore and Bell Labs before joining Rutgers. His research emphasizes estimation and testing of semiparametric models, decision theory, and estimation risk in portfolio decisions. Klein holds a Ph.D. in Economics from Yale University and serves as an Associate Editor for Econometric Theory.
His research interests include semiparametric estimation methodologies, endogenous treatment effects, and econometric model specification. He has contributed to advancements in recursive differencing techniques, instrumental variable estimation, and bias correction in econometric models. Recent work explores applications in healthcare policy, robotic surgical system adoption, and intergenerational schooling effects.
Notable recent publications include Recursive Differencing for Estimating Semiparametric Models (2024), Factors Associated with Hospital Decisions to Purchase Robotic Surgical Systems (2020), and Estimation of Marginal Effects in Semiparametric Selection Models (2015). His work consistently bridges theoretical econometric advancements with practical applications in labor, health, and policy analysis.
Klein has no listed awards but maintains active editorial and research roles. His advising focus is not explicitly detailed, though collaborations with co-authors like Chan Shen and Frank Vella highlight ongoing research partnerships. No dedicated lab or team is noted in the provided materials.
