What is he best known for?
The fields of study he is best known for:
- Statistics
- Microeconomics
- Finance
Data envelopment analysis, Econometrics, Benchmarking, Revealed preference and Weighting are his primary areas of study.
Laurens Cherchye combines subjects such as Index, Normalization, Risk analysis and Operations research with his study of Data envelopment analysis.
His work in the fields of Econometrics, such as Nonparametric statistics, intersects with other areas such as Meaning.
His studies deal with areas such as Incentive, Performance indicator, Peer pressure and Positive economics as well as Benchmarking.
His research in Revealed preference intersects with topics in Panel data and Integer programming.
His work in Microeconomics addresses issues such as Estimation, which are connected to fields such as Production.
His most cited work include:
- An Introduction to ‘Benefit of the Doubt’ Composite Indicators (353 citations)
- Creating composite indicators with DEA and robustness analysis: the case of the Technology Achievement Index (212 citations)
- Legitimately Diverse, yet Comparable: On Synthesizing Social Inclusion Performance in the EU* (127 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Revealed preference, Econometrics, Nonparametric statistics, Microeconomics and Data envelopment analysis.
His Revealed preference research integrates issues from Mathematical economics, Pareto efficiency, Integer programming and Public good.
His study looks at the relationship between Econometrics and topics such as Inefficiency, which overlap with Profit efficiency.
The concepts of his Nonparametric statistics study are interwoven with issues in Production and Parametric statistics.
Laurens Cherchye has researched Production in several fields, including Estimation, Measure and Identification.
His Data envelopment analysis research is multidisciplinary, incorporating perspectives in Higher education and Accounting.
He most often published in these fields:
- Revealed preference (57.37%)
- Econometrics (49.74%)
- Nonparametric statistics (35.00%)
What were the highlights of his more recent work (between 2015-2021)?
- Revealed preference (57.37%)
- Econometrics (49.74%)
- Nonparametric statistics (35.00%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Revealed preference, Econometrics, Nonparametric statistics, Production and Microeconomics.
His Revealed preference study combines topics from a wide range of disciplines, such as Marriage market, Mathematical economics, Metric, Aggregate and Normality.
Borrowing concepts from Consumer Expenditure Survey, Laurens Cherchye weaves in ideas under Econometrics.
The Nonparametric statistics study combines topics in areas such as Specification, Productivity, Stable marriage problem and Production analysis.
His Production study incorporates themes from Loan, Balance sheet, Profitability index, Finance and Measure.
Measure is closely attributed to Data envelopment analysis in his research.
Between 2015 and 2021, his most popular works were:
- Multi-output profit efficiency and directional distance functions☆ (36 citations)
- Data Envelopment Analysis and Social Enterprises: Analysing Performance, Strategic Orientation and Mission Drift (15 citations)
- The impact of home-country institutions and competition on firm profitability (12 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Microeconomics
- Finance
Laurens Cherchye spends much of his time researching Econometrics, Revealed preference, Nonparametric statistics, Remarriage and Wife.
His work on Preference heterogeneity as part of general Econometrics study is frequently connected to Multi output, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His work deals with themes such as Mathematical economics, Sample size determination and Labour economics, which intersect with Revealed preference.
Laurens Cherchye interconnects Rationalizability, Stable marriage problem, Stability and Identification in the investigation of issues within Nonparametric statistics.
His study in Scrap intersects with areas of studies such as Microeconomics and Data envelopment analysis.
His Data envelopment analysis research incorporates themes from Industrial organization and Business ethics.
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