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Robin C. Sickles

Robin C. Sickles

D-Index & Metrics

Economics and Finance

D-Index
47
Citations
12774
World Ranking
1568
National Ranking
941

Overview

Robin C. Sickles is affiliated with Rice University in the United States. Their research primarily focuses on Economics, Econometrics, and Finance, with a total of 57 publications in this field.

Their work spans several subfields including Economics and Econometrics, Management Science and Operations Research, Finance, General Economics, Econometrics and Finance, and Accounting. The distribution of publications in these subfields reflects a focus on economic measurement and financial analysis.

Main topics covered in Sickles' research include:

  • Efficiency Analysis Using DEA
  • Economic Growth and Productivity
  • Banking Stability, Regulation, Efficiency
  • Spatial and Panel Data Analysis
  • Fiscal Policy and Economic Growth
  • Energy, Environment, Economic Growth
  • Monetary Policy and Economic Impact

They have numerous publications in prominent venues, with frequent contributions to the Journal of Productivity Analysis and Empirical Economics, as well as publications in the SSRN Electronic Journal, European Journal of Operational Research, and Review of Income and Wealth. The distribution of publication venues highlights the interdisciplinary nature of their work, bridging productivity analysis and applied economics.

Representative recent papers by Sickles include:

  • The agency problem revisited: a structural analysis of managerial productivity and CEO compensation in large US commercial banks (2020), Empirical Economics
  • A data envelopment analysis and local partial least squares approach for identifying the optimal innovation policy direction (2020), European Journal of Operational Research
  • Non-structural and structural models in productivity analysis: study of the British Isles during the 2007-2009 financial crisis (2020), Journal of Productivity Analysis
  • Industry-Specific Productivity and Spillovers Through Input-Output Linkages: Evidence from Asia-Pacific Value Chain (2023), Review of Income and Wealth
  • Public subsidies and innovation: a doubly robust machine learning approach leveraging deep neural networks (2023), Empirical Economics

In addition to journal articles, Sickles has contributed to book publications. Of note is the book titled Advances in Efficiency and Productivity Analysis, published in 2020 by Springer International Publishing.

The scientist frequently collaborates with other researchers. Frequent co-authors include:

  • Kerda Varaku
  • Christopher F. Parmeter
  • Liu Wei-lin
  • Yanfei Sun
  • Thomas Triebs

Best Publications

  • Production Frontiers and Panel Data

    Peter Schmidt;Robin C. Sickles

  • Production frontiers with cross-sectional and time-series variation in efficiency levels

    Christopher Cornwell;Peter Schmidt;Robin C. Sickles

  • Index Number and Factor Demand Approaches to the Estimarion of Productivity

    D. Good;M.I. Nadiri;Robin Sickles

  • Finite sample evidence on the performance of stochastic frontiers and data envelopment analysis using panel data

    Byeong-Ho Gong;Robin C. Sickles

  • A COMPARISON OF THE PERFORMANCE OF THREE FLEXIBLE FUNCTIONAL FORMS

    David K. Guilkey;C. A. Knox Lovell;Robin C. Sickles

  • Festschrift in Honor of Peter Schmidt

    Robin C. Sickles;William C. Horrace

  • An Analysis of the Health and Retirement Status of the Elderly

    Robin C Sickles;Paul J Taubman

  • Airline efficiency differences between Europe and the US: Implications for the pace of EC integration and domestic regulation

    David H. Good;Lars-Hendrik Röller;Robin C. Sickles

  • Efficiency and productivity growth comparisons of European and U.S. Air carriers: A first look at the data

    David H. Good;M. Ishaq Nadiri;Lars-Hendrik Röller;Lars-Hendrik Röller;Robin C. Sickles

  • Demand Specification for Municipal Water Management: Evaluation of the Stone-Geary Form

    Sylvestre Gaudin;Ronald C. Griffin;Robin C. Sickles

  • The role of environmental factors in growth accounting

    Byung M. Jeon;Robin C. Sickles

  • Measurement of Productivity and Efficiency

    Robin C. Sickles;Valentin Zelenyuk

  • Production Frontiers With Cross-Sectinal And Time-Series Variation In Efficiency Levels

    Christopher Cornwell;Peter Schmidt;Robin C. Sickles

  • A spatial autoregressive stochastic frontier model for panel data with asymmetric efficiency spillovers

    Anthony J. Glass;Karligash Kenjegalieva;Robin C. Sickles;Robin C. Sickles

  • Some further evidence on the use of the Chow test under heteroscedasticity

    Peter Schmidt;Robin Sickles

  • The Relationship Between Stock Market Returns and Technical Efficiency Innovations: Evidence from the US Airline Industry

    Ila M. Semenick Alam;Robin C. Sickles

  • Stochastic panel frontiers: A semiparametric approach☆

    B. U. Park;R. C. Sickles;Léopold Simar

  • Panel estimators and the identification of firm-specific efficiency levels in parametric, semiparametric and nonparametric settings

    Robin C. Sickles

  • Estimation of long-run inefficiency levels: a dynamic frontier approach

    Seung C. Ahn;Robin C. Sickles

  • Festschrift in honor of Peter Schmidt : econometric methods and applications

    Robin C. Sickles;William C. Horrace

  • An international comparison of technology adoption and efficiency : a dynamic panel model

    Patrick T. Hultberg;M. Ishaq Nadiri;Robin C. Sickles

Frequent Co-Authors

Paul Taubman
Paul Taubman University of Pennsylvania
Jere R. Behrman
Jere R. Behrman University of Pennsylvania
C. A. Knox Lovell
C. A. Knox Lovell University of Queensland
Léopold Simar
Léopold Simar Université Catholique de Louvain
Lars-Hendrik Röller
Lars-Hendrik Röller European School of Management and Technology
M. Ishaq Nadiri
M. Ishaq Nadiri New York University
Cinzia Daraio
Cinzia Daraio Sapienza University of Rome
Kristiaan Kerstens
Kristiaan Kerstens IESEG School of Management
Robert A. Pollak
Robert A. Pollak Washington University in St. Louis
David K. Guilkey
David K. Guilkey University of North Carolina at Chapel Hill

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