What is he best known for?
The fields of study he is best known for:
- Statistics
- Microeconomics
- Macroeconomics
Finn R. Førsund mainly focuses on Econometrics, Data envelopment analysis, Production, Productivity and Productive efficiency.
His Econometrics study combines topics in areas such as Frontier, Ranking, Data set and Technical progress.
His Data envelopment analysis research is multidisciplinary, incorporating perspectives in Competition, Elasticity and Mathematical economics.
His research in Production intersects with topics in Estimation and Social insurance system.
His Productivity research incorporates themes from Sample and Operations research.
His Productive efficiency research includes elements of Agricultural engineering, Service, Aggregate and Time series.
His most cited work include:
- A survey of frontier production functions and of their relationship to efficiency measurement (804 citations)
- Malmquist Indices of Productivity Growth during the Deregulation of Norwegian Banking, 1980-89 (491 citations)
- Banking efficiency in the Nordic countries (322 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Production, Econometrics, Data envelopment analysis, Productivity and Mathematical optimization.
His studies in Production integrate themes in fields like Technical change, Industrial organization, Function and Technical progress.
He works mostly in the field of Econometrics, limiting it down to topics relating to Returns to scale and, in certain cases, Elasticity.
The concepts of his Data envelopment analysis study are interwoven with issues in Frontier, Operations research, Mathematical economics and Productive efficiency.
In general Productivity, his work in Malmquist index is often linked to Norwegian linking many areas of study.
His Mathematical optimization research focuses on subjects like Point, which are linked to Data set.
He most often published in these fields:
- Production (28.99%)
- Econometrics (27.05%)
- Data envelopment analysis (22.71%)
What were the highlights of his more recent work (between 2015-2021)?
- Data envelopment analysis (22.71%)
- Production (28.99%)
- Econometrics (27.05%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Data envelopment analysis, Production, Econometrics, Productivity and Frontier.
As part of his studies on Data envelopment analysis, Finn R. Førsund frequently links adjacent subjects like Mathematical economics.
Finn R. Førsund interconnects Performance measurement, Key and Industrial organization in the investigation of issues within Production.
The Econometrics study which covers Returns to scale that intersects with Elasticity.
His work carried out in the field of Productivity brings together such families of science as Index, Sample and Natural resource economics.
His Frontier study incorporates themes from Smoothing, Algorithm, Information technology and Mathematical optimization.
Between 2015 and 2021, his most popular works were:
- Multi-equation modelling of desirable and undesirable outputs satisfying the materials balance (37 citations)
- Economic interpretations of DEA (16 citations)
- Economic interpretations of DEA (16 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Microeconomics
- Topology
Finn R. Førsund mainly investigates Econometrics, Data envelopment analysis, Production, Public economics and Public sector.
His research investigates the connection with Econometrics and areas like Function which intersect with concerns in Malmquist index, Total factor productivity and Mathematical optimization.
His Data envelopment analysis research integrates issues from Linear programming, Elasticity, Shadow price and Productive efficiency.
By researching both Production and Electric power distribution, Finn R. Førsund produces research that crosses academic boundaries.
The various areas that Finn R. Førsund examines in his Public economics study include Control, Key, Task and Preference.
The study incorporates disciplines such as Environmental economics and Measure in addition to Public sector.
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