Short Course on Benchmarking and productivity Analyses, March 2019, Denmark

Benchmarking and productivity analyses – with economic applications and extensive hands-on activities

 

PhD School in Economics and Management at CBS

Course dates
04 March 2019 – 08 March 2019
Lecturer
Professor Peter Bogetoft
Place/Venue
Porcelænshaven 16B, PH16B-118
City
Frederiksberg
Prerequisites
A basic knowledge of quantitative methods and statistics is desirable, 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
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 studies, natural resource management, public economics, and sports studies, 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 comparisons. Integration with incentive theory, mechanism design and decision support systems makes the tools relevant also in normative applications

Course content
Day 1 ?* Welcome * Introduction and overview ?* Production and costs models ?* Firm behavior ?* Efficiency concepts * Introduction to softwares

Day 2 ?* Data Envelopment Analyses (DEA) * Non-discretionary, environmental, quality etc variables * Dual models * Game interpretations * Exercises.

Day 3 ?* Statistical inference in DEA * Bootstrapping * Two stage models * Stochastic Frontier Analyses (SFA) * Exercises

Day 4 ?* Reallocation, market and merger analyses * Decision Support Systems * Network models * Exercises

Day 5 ?* Efficiency and Incentives, * Contracts * Regulation * Yardstick competition, * Auctions * Exercises

Teaching style
The course (5 ETCS) stretches over five days. Each day will consist of lecturing in the morning and conceptual discussions, presentation of applications by guests and course participants, and hands-on exercises in the afternoon.
Exam
A course certificate for the course is granted based on attendance and active participating.
Level
PhD
ECTS
5
Language
English
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

Fee
DKK 6,500 for PhD students – DKK 13,375 for non-PhD students

Registration deadline
04/02/2019
First sign up via the registration link to get priority in case of overbooking – and then please send 5 lines on your background to pb.eco@cbs.dk no later than 4 February 2019.

The registration is binding after the registration deadline.

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