Recent Publications

(2018). Data Envelopment Analysis and Social Enterprises: Analysing Performance, Strategic Orientation and Mission Drift. Journal of Business Ethics.

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(2018). Individual welfare analysis for collective households. Journal of Public Economics.

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(2018). Production with storable and durable inputs: nonparametric analysis of intertemporal efficiency. European Journal of Operational Research.

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(2016). To Mix or Specialise? A Coordination Productivity Indicator for English and Welsh farms. Journal of Agricultural Economics.

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Work in progress

Working papers:

Production

  1. “Superlative approximation of the Luenberger-Hicks-Moorsteen productivity indicator: theory and application” (with Frederic Ang), major revision requested by European Journal of Operational Research

Work in progress:

Production

  1. “A unifying framework for dynamic productivity analysis with an application to the European food processing industry” (with Frederic Ang)
  2. “A DEA-based methodology to determine customer value” (with Laurens Cherchye, Bram De Rock, Bart Dierynck & Filip Roodhooft)
  3. “Nonparametric estimation of technical change: A volume-based approach” (with Benjamin Hampf)
  4. “Efficiency drivers in Norwegian harvesting site operations” (with Giovanna Aalmo, Bruce Talbot & Peter Bogetoft)
  5. “Visualizing mix similarity and scale: identification of group technologies and tracking of frontier firms” (with Mette Asmild)

Consumption analysis

  1. “What can choices reveal about product characteristics? Gorman revisited.”

Projects

Deautils

This repository will host various utilities that one may need when doing Data Envelopment Analysis (DEA).

matlabutils

I keep a repository with useful MATLAB utility functions that intend to make MATLAB programming just that more easy.

nepa

Nonparametric Efficiency and Productivity Analysis for Julia. A toolbox for doing efficiency analysis and computing productivity change using nonparametric techniques.

nprlab

NonParametric Regression Laboratory for MATLAB (NPRLab) is a MATLAB toolbox for nonparametric regression. In particular, it implements a variety of linear estimators. Data rescaling and bandwidth tuning is done automatically by the software. Finally, the toolbox also features confidence interval estimation by the volume-of-tube formula both in a one-dimensional and multi-dimensional setting.

Teaching

  • Guest lecturer in the master courses “Contracts and cooperatives” and “Economic efficiency and benchmarking” at the Department of Food and Resource Economics at the University of Copenhagen.
  • Daily advisor for 3 individual master thesis students and 1 group of 5 master thesis students at the Department of Economics at KU Leuven.
  • Teaching assistant for the module Seminarie methoden voor economische analyse in the 2nd semester at the Department of Economics at KU Leuven during the academic year 2016-2017.

Contact

  • pjk at ifro dot ku dot dk
  • +4535324878
  • Rolighedsvej 25, 1958 Frederiksberg C, Denmark