My research interests span a broad set of themes in applied economics, business analytics, econometrics, mathematical economics, microeconomic theory, operational research and management science. I have developed significant methodological contributions to productivity and efficiency analysis, portfolio optimization, and shape-constrained nonparametric regression, which have opened new avenues of research. My application domains include such areas as agriculture and forestry, banking and finance, education and health care, energy and environment, markets and regulation, utilities and transportation, among others. My current research interests include the estimation of causal treatment effects policy interventions using synthetic controls, and the application of modern data science and machine learning techniques such as the support vector machines in econometrics and statistics.
My research focuses on axiomatic nonparametric modeling of production, consumption and investment decisions. My main application area has been productivity and efficiency analysis in such sectors as agriculture, banking, education, energy, environment, transportation, and utilities. My recent research focuses on the development of new methods for probabilistic modeling of random noise, inefficiency, and observed heterogeneity in the axiomatic nonparametric setting.
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