Summer School

WASS Summer School: Theory and Practice of Efficiency & Productivity Measurement:static & dynamic analysis

The summer school is designed to bridge the gap between theory and practice. It is organized into distinct parts: “Parametric, Static Approaches” (Week 1) and “Dynamic Approaches” (Week 2). Participants may enrol for either week 1 or 2, or both weeks. Although each week is independent, participants are encouraged to take both weeks.

Organisator Wageningen School of Social Sciences (WASS)

ma 3 juli 2017 tot vr 14 juli 2017

Locatie Leeuwenborch, building number 201
Hollandseweg 1
6706 KN Wageningen

Productivity growth entails changes in scale, efficiency gains and technological change. Innovations are needed to keep pushing the competitive envelope, and efficiency gains are needed to ensure that implemented technologies achieve their potential. Conventional economic approaches assume that all firms operate rationally and efficiently. This summer school, however, challenges this assumption and presents concepts, models and tools needed to analyze and quantify the levels of inefficiency and productivity at a point in time and their movement over time. 

Week 1 (3 - 7 July 2017): Parametric Efficiency and Productivity Analysis

The parametric course uses Stochastic Frontier Analysis and semi-parametric techniques to measure efficiency and productivity by letting the data span the frontier to establish best practice. This approach coupled with the microeconomic theory of the firm provides firm-specific measurements of efficiency and best practice role models for improving performance.


  • Greg Emvalomatis, Associate Professor of Economics (University of Dundee, UK)
  • Chris Parmeter, Associate Professor of Economics (University of Miami, USA)

Week 2 (10– 14 July 2017): Data Envelopment Analysis: Static and Dynamic Efficiency and Productivity Analysis

The second week introduces the students into Data Envelopment Analysis (DEA) and the dynamic perspective to measuring efficiency and productivity. DEA is a nonparametric technique for measuring efficiency and productivity. The technique does not require distributional assumptions on the efficiency term and is a flexible approach that can be applied to many situations. Dynamic efficiency and productivity analysis is a relatively new approach that has found a more wide application the economics literature. The approach explicitly accounts for the role of adjustment costs in investments.


  • Spiro Stefanou, Professor of Food and Resource Economics (University of Florida, USA)
  • Alfons Oude Lansink, Professor of Business Economics (Wageningen University, NL)