What is he best known for?
The fields of study he is best known for:
- Statistics
- Microeconomics
- Econometrics
His primary scientific interests are in Econometrics, Estimator, Inefficiency, Panel data and Production.
Robin C. Sickles mostly deals with Autoregressive model in his studies of Econometrics.
His Estimator research is multidisciplinary, incorporating elements of Sample and Monte Carlo method.
His Panel data research incorporates elements of Estimation and Generalized least squares.
He has included themes like Function and Instrumental variable in his Production study.
Robin C. Sickles works mostly in the field of Mathematical economics, limiting it down to topics relating to Measure and, in certain cases, Data envelopment analysis, as a part of the same area of interest.
His most cited work include:
- Production Frontiers and Panel Data (1160 citations)
- Production frontiers with cross-sectional and time-series variation in efficiency levels (923 citations)
- A COMPARISON OF THE PERFORMANCE OF THREE FLEXIBLE FUNCTIONAL FORMS (253 citations)
What are the main themes of his work throughout his whole career to date?
Robin C. Sickles focuses on Econometrics, Productivity, Panel data, Estimator and Production.
The various areas that Robin C. Sickles examines in his Econometrics study include Statistics, Sample, Estimation and Inefficiency.
He combines subjects such as Deregulation and Industrial organization with his study of Productivity.
His studies deal with areas such as Capital and Econometric model as well as Panel data.
The study incorporates disciplines such as Nonparametric statistics and Monte Carlo method in addition to Estimator.
His Production study incorporates themes from Function, Natural resource economics and Economy.
He most often published in these fields:
- Econometrics (45.85%)
- Productivity (23.72%)
- Panel data (23.32%)
What were the highlights of his more recent work (between 2015-2021)?
- Productivity (23.72%)
- Econometrics (45.85%)
- Frontier (7.91%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Productivity, Econometrics, Frontier, Panel data and Microeconomics.
He has researched Productivity in several fields, including Production, Stochastic frontier analysis and Empirical research.
He is involved in the study of Production that focuses on Production function in particular.
The Econometrics study combines topics in areas such as Order, Estimator, Spillover effect and Inefficiency.
His research in Estimator tackles topics such as Parametric statistics which are related to areas like Mean squared error, Nonparametric statistics, Function and Monotonic function.
His Microeconomics research integrates issues from Capital and Revenue.
Between 2015 and 2021, his most popular works were:
- A spatial autoregressive stochastic frontier model for panel data with asymmetric efficiency spillovers (68 citations)
- A spatial autoregressive stochastic frontier model for panel data with asymmetric efficiency spillovers (68 citations)
- Measurement of Productivity and Efficiency: Theory and Practice (17 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Microeconomics
- Finance
Robin C. Sickles spends much of his time researching Productivity, Econometrics, Panel data, Inefficiency and Frontier.
His study in Econometrics is interdisciplinary in nature, drawing from both Spillover effect, Marginal product, Statistics, Financial crisis and Operations research.
In his study, which falls under the umbrella issue of Panel data, Intermediation is strongly linked to Capital.
His Inefficiency study combines topics in areas such as Kalman filter and Autoregressive model.
Robin C. Sickles works mostly in the field of Autoregressive model, limiting it down to concerns involving Production–possibility frontier and, occasionally, Estimator.
His study focuses on the intersection of Empirical evidence and fields such as Production with connections in the field of Function.
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