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Benchmarking and Productivity Analyses - with economic applications and hands-on activities - 5 ECTS Postponed

Date and time

Monday 15 April 2024 at 09:00 to Friday 19 April 2024 at 16:00

Registration Deadline

Tuesday 19 March 2024 at 23:55


Room TBA, Campus TBA, 2000 Frederiksberg Room TBA
Campus TBA
2000 Frederiksberg

Benchmarking and Productivity Analyses - with economic applications and hands-on activities - 5 ECTS Postponed

Course Coordinator: Professor Peter Bogetoft, Department of Economics (ECON)


Professor Peter Bogetoft
Department of Economics, CBS


A basic knowledge of quantitative methods and statistics is required, but the course will refresh the participants’ prior knowledge as we go along. The course will emphasize actual applications in research and consultancy, and will l train the use of opens source softwares like R. Participants are expected to bring their own notebooks to benefit fully from the hands-on activities.

Aim of the course

The aim of this course is to introduce the participants to the theory and practice of performance evaluations and their usages in research, policy analyses, incentive schemes and regulation.

Specifically, the objectives are

1. To provide a basic understanding of state-of-the-art benchmarking, efficiency and productivity analyses methods using Data Envelopment Analyses (DEA), Stochastic Frontier Analyses (SFA) and related methods.

2. To provide training in the actual usage of such methods and associated software on different applications

3. To discuss the usage of performance evaluations to evaluate economic systems and to design decision support, reallocation mechanisms and incentive systems.

Background: Productivity and efficiency analysis is a rapidly growing, interdisciplinary field of research in economics, management sciences, and statistics. In addition to the empirical research on the magnitude, direction, and sources of productivity growth, this literature has produced quantitative methods such as data envelopment analysis (DEA) and stochastic frontier analysis (SFA), which have diffused beyond their traditional confinement to production settings. These tools are used in many different application areas including environment, development studies, education, finance, health care, natural resource management, public economics, and sports among other fields. The tools and approaches of productivity analysis are equally well suited for micro-level analyses of firms and other decision-making units as well as macro-level cross-country and longitudinal  comparisons. Integration with incentive theory, mechanism design and decision support systems makes the tools relevant also in normative applications

Preliminary lecture plan

D1 1. Course Introduction
D1 2. Introduction to Benchmarking - From Academic Studies to Managerial Advice
D1 3. Regulatory Benchmarking
D1 4. Efficiency Concepts
D1 5. Getting started with R
D2 1. Basic DEA 
D2 2. Advanced DEA
D2 3. The Benchmarking Process 1: Data Collection and Cleaning
D2 4. Applications
D3 1. Statistical  analyses in DEA models
D3 2. The Benchmarking Process 2: Model Specification
D3 3. Applications
D4 1. SFA and other parametric approaches
D4 2. SFA in Benchmarking and Frontier packages
D4 3. The benchmarking process 3: Model Validation and Robustness
D4 4. Applications
D5 1. Mergers and Quota Trade
D5 2. Benefit-of-doubt measures
D5 3. Rational efficiency, DEA based auctions and other additional topics
D5 4. Applications
D5 5. Evaluation, diploma and goodbye

Teaching style

The course (5 ETCS) stretches over five days. Each day will consist of lecturing in the morning and part of the afternoon followed by conceptual discussions, presentation of applications, and hands-on exercises in the afternoon.

In addition, there will be 4 two-hours zoom events before July, where we can discuss difficult topics, take up new methods, and where participants can present work-in-progress on efficiency and productivity projects. 

Lecture plan

A preliminary plan is provided above. The exact applications will be decided based in part on the interests of the participants.


A course certificate for the course is granted based on attendance and active participation.

Course literature

The course will draw of original literature (articles) supplemented by text-book treatments like in

  • Bogetoft, P. and L. Otto, Benchmarking with DEA, SFA, and R, Springer New York, 2011
  • Bogetoft, P, Performance Benchmarking: Measuring and Managing Performance, Springer New York 2012

Registration deadline and conditions

The registration deadline is 19 March 2024. If you want to cancel your registration on the course it should be done prior to this mentioned date. By this date we determine whether we have enough registrations to run the course, or who should be offered a seat if we have received too many registrations.

If there are more seats available on the course we leave the registration open by setting a new regsitration deadline in order to fill remaining seats. Once you have received our acceptance/welcome letter to join the course, your registration is binding and we do not refund your course fee. The binding registration date will be the registration deadline mentioned above.

Payment methods

Make sure you choose the correct method of payment upon finalizing your registration:

CBS students:
Choose payment method CBS PhD students and the course fee will be deducted from your PhD course budget.
Students from other Danish universities: 
Choose payment method Danish Electronic Invoice (EAN). Fill in your EAN number, attention and possible purchase (project) order number.
Do you not pay by EAN number please choose Invoice to pay via electronic bank payment (+71). 
Students from foreign universities:
Choose payment method Payment Card. Are you not able to pay by credit card please choose Invoice International to pay via bank transfer. 
Please note that your registration is binding after the registration deadline.

Event Location

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Organizer Contact Information

CBS PhD School
Nina Iversen

Phone: +45 3815 2475

Organizer Contact Information

CBS PhD School
Nina Iversen

Phone: +45 3815 2475