What is he best known for?
The fields of study he is best known for:
- Statistics
- Microeconomics
- Finance
His main research concerns Econometrics, Panel data, Inefficiency, Production and Allocative efficiency.
His studies deal with areas such as Statistics, Data envelopment analysis and Production–possibility frontier as well as Econometrics.
Subal C. Kumbhakar interconnects Total factor productivity, Productivity, Mathematical optimization and Parametric statistics in the investigation of issues within Panel data.
His Inefficiency research is multidisciplinary, relying on both Residual and Homoscedasticity.
The various areas that Subal C. Kumbhakar examines in his Production study include Profit, Mathematical economics and Actuarial science.
His Allocative efficiency research is multidisciplinary, incorporating perspectives in Maximum likelihood, Returns to scale, Profit and Production function.
His most cited work include:
- Stochastic Frontier Analysis (2936 citations)
- A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms (905 citations)
- Stochastic Frontier Analysis (571 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Econometrics, Inefficiency, Production, Panel data and Productivity.
His work carried out in the field of Econometrics brings together such families of science as Returns to scale, Technical change and Allocative efficiency.
His Inefficiency research includes themes of Estimator, Heteroscedasticity and Stochastic frontier analysis.
His study in the fields of Production function under the domain of Production overlaps with other disciplines such as Function.
His Panel data study combines topics in areas such as Covariate, Residual, Parametric statistics and Selection.
His study looks at the relationship between Productivity and topics such as Agricultural economics, which overlap with Subsidy.
He most often published in these fields:
- Econometrics (72.46%)
- Inefficiency (45.15%)
- Production (32.73%)
What were the highlights of his more recent work (between 2015-2021)?
- Econometrics (72.46%)
- Inefficiency (45.15%)
- Production (32.73%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Econometrics, Inefficiency, Production, Panel data and Productivity.
Many of his research projects under Econometrics are closely connected to Estimation and Frontier with Estimation and Frontier, tying the diverse disciplines of science together.
His Inefficiency study integrates concerns from other disciplines, such as Technical change, Heteroscedasticity, System model and Stochastic frontier analysis.
Microeconomics covers Subal C. Kumbhakar research in Production.
His studies examine the connections between Panel data and genetics, as well as such issues in Returns to scale, with regards to Financial services.
His biological study spans a wide range of topics, including Proxy, Agricultural economics and Nonlinear system.
Between 2015 and 2021, his most popular works were:
- Economies of scale, technical change and persistent and time-varying cost efficiency in Indian banking: Do ownership, regulation and heterogeneity matter? (47 citations)
- Economies of scale, technical change and persistent and time-varying cost efficiency in Indian banking: Do ownership, regulation and heterogeneity matter? (47 citations)
- A cost system approach to the stochastic directional technology distance function with undesirable outputs:the case of U.S. banks in 2001-2010 (30 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Microeconomics
- Finance
His primary scientific interests are in Econometrics, Inefficiency, Panel data, Frontier and Endogeneity.
His work in the fields of Econometrics, such as Nonparametric statistics, overlaps with other areas such as Estimation.
His study in Inefficiency is interdisciplinary in nature, drawing from both Production, Allocative efficiency, Heteroscedasticity and Parametric statistics.
His work deals with themes such as Economies of scale and Technical change, which intersect with Production.
His Panel data research includes elements of Semiparametric model and Robustness.
His Endogeneity research incorporates elements of Production–possibility frontier and Markov chain Monte Carlo.
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