What is he best known for?
The fields of study he is best known for:
- Statistics
- Macroeconomics
- Microeconomics
Tim Coelli mainly focuses on Econometrics, Production, Data envelopment analysis, Inefficiency and Statistics.
Tim Coelli works in the field of Econometrics, focusing on Panel data in particular.
His studies examine the connections between Panel data and genetics, as well as such issues in Stochastic frontier analysis, with regards to Production–possibility frontier.
As a part of the same scientific study, Tim Coelli usually deals with the Production, concentrating on Sample and frequently concerns with Random variable and Truncated normal distribution.
Tim Coelli interconnects Productivity, Linear programming, Allocative efficiency and Operations research in the investigation of issues within Data envelopment analysis.
His work on Ordinary least squares as part of general Statistics research is frequently linked to Function, thereby connecting diverse disciplines of science.
His most cited work include:
- An Introduction to Efficiency and Productivity Analysis (5457 citations)
- A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data (4162 citations)
- Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India (2082 citations)
What are the main themes of his work throughout his whole career to date?
Tim Coelli mainly investigates Econometrics, Data envelopment analysis, Productivity, Agricultural economics and Production.
His Panel data study, which is part of a larger body of work in Econometrics, is frequently linked to Measure, bridging the gap between disciplines.
Tim Coelli has researched Data envelopment analysis in several fields, including Public economics, Stochastic frontier analysis, International trade, Incentive and Productive efficiency.
The various areas that he examines in his Productivity study include Agribusiness and Land tenure.
His Agricultural economics research includes elements of Technical change and Technical progress.
Tim Coelli combines subjects such as Sample and Statistics with his study of Production.
He most often published in these fields:
- Econometrics (32.14%)
- Data envelopment analysis (27.14%)
- Productivity (25.00%)
What were the highlights of his more recent work (between 2007-2021)?
- Index (13.57%)
- Data envelopment analysis (27.14%)
- Total factor productivity (17.86%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Index, Data envelopment analysis, Total factor productivity, Productivity and Public economics.
His biological study spans a wide range of topics, including Social protection, Environmental economics, Econometrics and Unemployment.
His study connects Sample size determination and Econometrics.
His research integrates issues of Balance, Technological change, Industrial organization and Agricultural economics in his study of Total factor productivity.
His study in Productivity is interdisciplinary in nature, drawing from both Health insurance and Finance.
The Stochastic frontier analysis study combines topics in areas such as Technical change and Operations management.
Between 2007 and 2021, his most popular works were:
- MEASUREMENT OF AGRICULTURAL TOTAL FACTOR PRODUCTIVITY GROWTH INCORPORATING ENVIRONMENTAL FACTORS: A NUTRIENTS BALANCE APPROACH (83 citations)
- Estimating the cost of improving quality in electricity distribution: A parametric distance function approach (46 citations)
- An analysis of factors that influence the technical efficiency of Malaysian thermal power plants (42 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Macroeconomics
- Microeconomics
His primary areas of investigation include Electricity generation, Sample, Agricultural economics, Total factor productivity and Technical progress.
His research investigates the link between Agricultural economics and topics such as Productivity that cross with problems in Index.
His work focuses on many connections between Index and other disciplines, such as Public economics, that overlap with his field of interest in Data envelopment analysis.
His work in Stochastic frontier analysis addresses subjects such as Agricultural engineering, which are connected to disciplines such as Parametric statistics.
His work carried out in the field of Parametric statistics brings together such families of science as Production set, Panel data and Operations research.
Tim Coelli works mostly in the field of Operations research, limiting it down to topics relating to Actuarial science and, in certain cases, Inefficiency.
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