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Timo Kuosmanen

Timo Kuosmanen

D-Index & Metrics

Social Sciences and Humanities

D-Index
41
Citations
7436
World Ranking
5033
National Ranking
47

Overview

Timo Kuosmanen is affiliated with Aalto University in Finland and has contributed extensively to research within the fields of economics, econometrics, and finance. Their work spans several subfields, including economics and econometrics, statistics and probability, management science and operations research, renewable energy, sustainability and the environment, and finance.

The main topics of their research include:

  • Efficiency Analysis Using DEA
  • Statistical Methods and Inference
  • Climate Change Policy and Economics
  • Advanced Statistical Methods and Models
  • Energy, Environment, and Transportation Policies
  • Energy, Environment, Economic Growth
  • Maritime Ports and Logistics

Kuosmanen has published research in several venues, with notable frequency in:

  • arXiv (Cornell University)
  • European Journal of Operational Research
  • SSRN Electronic Journal
  • Journal of Productivity Analysis
  • Energy Economics

Recent publications include:

  • "Shadow prices and marginal abatement costs: Convex quantile regression approach" (2020) in European Journal of Operational Research
  • "Forward-looking assessment of the GHG abatement cost: Application to China" (2020) in Energy Economics
  • "Convex support vector regression" (2023) in European Journal of Operational Research
  • "Portfolio diversification based on stochastic dominance under incomplete probability information" (2020) in European Journal of Operational Research
  • "Lurking in the shadows: The impact of CO2 emissions target setting on carbon pricing in the Kyoto agreement period." (2022) in Energy Economics

Common co-authors of Kuosmanen include:

  • Sheng Dai
  • Xun Zhou
  • Natalia Kuosmanen
  • Rasmus Bøgh Holmen
  • Kenneth Løvold Rødseth

The breadth of Kuosmanen's work reflects a strong focus on applying advanced quantitative and statistical methods to address problems related to efficiency analysis, environmental and energy economics, and finance. Their publication record demonstrates engagement with interdisciplinary research communities dedicated to operations research, productivity analysis, and sustainability issues.

Best Publications

  • Measuring Eco-efficiency of Production with Data Envelopment Analysis

    Timo Kuosmanen;Mika Kortelainen

  • Weak Disposability in Nonparametric Production Analysis with Undesirable Outputs

    Timo Kuosmanen

  • Stochastic Non-Smooth Envelopment of Data: Semi-Parametric Frontier Estimation Subject to Shape Constraints

    Timo Kuosmanen;Mika Kortelainen

  • Data Envelopment Analysis as Nonparametric Least-Squares Regression

    Timo Kuosmanen;Andrew L. Johnson

  • Efficient Diversification According to Stochastic Dominance Criteria

    Timo Kuosmanen

  • Representation Theorem for Convex Nonparametric Least Squares

    Timo Kuosmanen

  • Benchmarking Sustainable Development: A Synthetic Meta-index Approach

    Laurens Cherchye;Timo Kuosmanen

  • Weak Disposability in Nonparametric Production Analysis: Reply to Färe and Grosskopf

    Timo Kuosmanen;Victor V. Podinovski

  • One-stage and two-stage DEA estimation of the effects of contextual variables

    Andrew L. Johnson;Timo Kuosmanen

  • Stochastic semi-nonparametric frontier estimation of electricity distribution networks: Application of the StoNED method in the Finnish regulatory model

    Timo Kuosmanen

  • How not to measure sustainable value (and how one might)

    Timo Kuosmanen;Natalia Kuosmanen

  • What is the best practice for benchmark regulation of electricity distribution? Comparison of DEA, SFA and StoNED methods

    Timo Kuosmanen;Antti Saastamoinen;Timo Sipiläinen

  • The law of one price in data envelopment analysis : Restricting weight flexibility across firms

    Timo Kuosmanen;Laurens Cherchye;Timo Sipiläinen

  • Modelling weak disposability in data envelopment analysis under relaxed convexity assumptions

    Victor V. Podinovski;Timo Kuosmanen

  • One-stage estimation of the effects of operational conditions and practices on productive performance: asymptotically normal and efficient, root-n consistent StoNEZD method

    Andrew L. Johnson;Timo Kuosmanen

  • Best-practice benchmarking using clustering methods: Application to energy regulation

    Xiaofeng Dai;Timo Kuosmanen

  • Theory of integer-valued data envelopment analysis

    Timo Kuosmanen;Reza Kazemi Matin

  • Measurement and Analysis of Eco‐efficiency: An Economist's Perspective

    Timo Kuosmanen

  • Measuring economic efficiency with incomplete price information: With an application to European commercial banks

    Timo Kuosmanen;Thierry Post

  • Stochastic Nonparametric Approach to Efficiency Analysis: A Unified Framework

    Timo Kuosmanen;Andrew Johnson;Antti Saastamoinen

  • Valuing environmental factors in cost–benefit analysis using data envelopment analysis

    Timo Kuosmanen;Mika Kortelainen

Frequent Co-Authors

Steven Van Passel
Steven Van Passel University of Antwerp

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