{"id":21477,"date":"2026-09-03T18:01:31","date_gmt":"2026-09-03T18:01:31","guid":{"rendered":"https:\/\/deazone.com\/en\/?p=21477"},"modified":"2026-09-03T18:03:30","modified_gmt":"2026-09-03T18:03:30","slug":"deacourse2027-pb","status":"publish","type":"post","link":"http:\/\/deazone.com\/en\/deacourse2027-pb","title":{"rendered":"Benchmarking and Productivity Analyses \u2013 with Economic Applications and Hands-on Activities \u2013 5 ECTS"},"content":{"rendered":"\n

Professor Peter Bogetoft<\/a><\/strong>
Department of Economics, CBS<\/p>\n\n\n\n

See details at: \u00a0https:\/\/phdsupport.nemtilmeld.dk\/289\/<\/a><\/p>\n\n\n\n

Prerequisites

<\/strong>A basic knowledge of quantitative methods and statistics is required; however, the course will revisit and refresh participants\u2019 prior knowledge as needed. The focus will be on practical applications in research and consultancy, with training in the use of open-source software such as R. Participants are expected to bring their own laptops to fully benefit from the hands-on activities.<\/p>\n\n\n\n

Aim of the Course

<\/strong>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.<\/p>\n\n\n\n

Specifically, the objectives are
<\/strong>1. To provide a basic understanding of state-of-the-art benchmarking, efficiency, and productivity analysis methods using Data Envelopment Analysis (DEA), Stochastic Frontier Analysis (SFA), and related approaches.<\/p>\n\n\n\n

2. To offer training in the practical application of these methods and associated software across various use cases.<\/p>\n\n\n\n

3. To discuss the use of performance evaluations for assessing economic systems and designing decision support tools, reallocation mechanisms, and incentive systems.<\/p>\n\n\n\n

Background:<\/strong>
Productivity and efficiency analysis is a rapidly growing interdisciplinary field that spans economics, management sciences, and statistics. Beyond conducting empirical research on the magnitude, direction, and sources of productivity growth, this field has developed quantitative methods such as Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA). These methods, once primarily applied to production settings, have now expanded to a wide range of applications, including environmental studies, development research, education, finance, healthcare, natural resource management, public economics, and sports, among others. <\/p>\n\n\n\n

The tools and approaches of productivity analysis are equally suited for micro-level studies of firms and decision-making units, as well as macro-level cross-country and longitudinal comparisons. Furthermore, their integration with incentive theory, mechanism design, and decision support systems enhances their relevance for normative applications.<\/p>\n\n\n\n

Preliminary Lecture Plan

<\/strong>Monday<\/strong>
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<\/p>\n\n\n\n

Tuesday<\/strong>
D2 1. Basic DEA 
D2 2. Advanced DEA
D2 3. The Benchmarking Process 1: Data Collection and Cleaning
D2 4. Applications<\/p>\n\n\n\n

Wednesday<\/strong>
D3 1. Statistical  analyses in DEA models
D3 2. The Benchmarking Process 2: Model Specification
D3 3. Applications<\/p>\n\n\n\n

Thursday<\/strong>
D4 1. SFA and other (semi-)parametric approaches
D4 2. SFA in Benchmarking and Frontier packages
D4 3. The benchmarking process 3: Model Validation and Robustness
D4 4. Applications<\/p>\n\n\n\n

Friday<\/strong>
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<\/p>\n\n\n\n

Teaching Style

<\/strong>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.<\/p>\n\n\n\n

In addition, there will be four two-hour Zoom events following the in-class course, during which we will discuss challenging topics, explore new methods, and provide participants with the opportunity to present work-in-progress on efficiency and productivity projects.<\/p>\n\n\n\n

Lecture Plan
<\/strong>
A preliminary plan is provided above. Some adjustments and the inclusion of specific applications will be determined, in part, based on the interests of the participants.<\/p>\n\n\n\n

Assessment
<\/strong>
<\/strong>A course certificate for the course is granted based on attendance and active participation.<\/p>\n\n\n\n

Course Literature

<\/strong>The course will draw of original literature (articles) supplemented by text-book treatments like in<\/p>\n\n\n\n