455A Arps Hall
1945 N. High St.
Areas of Expertise
- Estimation from Non-Random Samples
- Semiparametric Estimation
Stephen Cosslett received his Ph.D. in economics from the University of California Berkeley, and taught at Northwestern University and at the University of Florida before joining the faculty at the Ohio State University in 1987. His research interests are mainly in theoretical econometrics, and include econometric models of individual choice; estimation from endogenously stratified samples and other non-random sampling schemes; and the efficient estimation of nonlinear models when the probability distribution of unobserved variables is unknown.
His research publications include articles in Econometrica, the Journal of Econometrics, the International Economic Review, and the American Journal of Agricultural Economics, and he has also contributed chapters to research monographs and to the Handbook of Statistics. He was elected a fellow of the Econometric Society in 1994.