Subal C. Kumbhakar is a distinguished professor of economics at Binghmton University. His work primarily focuses on productivity analysis, efficiency measurement and the application of econometric techniques to firm-level data. His research has covered a wide range of industries, providing insights into the dynamics of production processes and the role of innovation in enhancing competitiveness. He published Production Frontiers (Cambridge University Press), co-authored with C. A. Knox Lovell, which provides a comprehensive overview of production theory and efficiency measurement, discussing methodologies for analyzing production frontiers. Another important book is Estimation of Production Frontiers: A Practical Guide (Cambridge University Press), which serves as a practical resource for researchers and practitioners interested in estimating production frontiers and understanding the underlying econometric techniques. His research contributions have earned him numerous accolades, such as being named a fellow of the Journal of Econometrics and receiving an honorary doctorate from Gothenburg University in Sweden; a fellow for Society for Economic Measurement in 2023; and Distinguished Author of the Journal of Applied Econometrics in 2017. He is listed among the top 2% of researchers globally in his field, according to a Stanford University study. Kumbhakar also has extensive editorial experience, serving as a co-editor for Empirical Economics and an associate editor for the Journal of Productivity Analysis. He is also a board member for several other prestigious journals. He co-edited many special issues of several journals, such as Econometric Reviews and the Journal of Productivity Analysis. He has also edited many books. His international influence is evident through his participation in Ph.D. evaluation committees across various universities worldwide, including institutions in Australia, Sweden, Norway, Germany, Finland and India. Graduate courses on the econometric estimation of productivity using various econometric tools
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