Summer schools
On-Site
Certification after completion
Part Time
Regular fees: 600 - 1000 EUR
OPEN
The Summer School "THEORY AND PRACTICE OF EFFICIENCY & PRODUCTIVITY MEASUREMENT: STATIC & DYNAMIC ANALYSIS" will take place in Santiago, Chile.
Motivation: Productivity growth involves changes in scale, efficiency gains, and technological change. Innovations are needed to push the competitive boundary, while efficiency gains ensure that new technologies reach their full potential. Conventional economic approaches assume all firms operate rationally and efficiently, but this summer school challenges that assumption, presenting models and tools to analyze inefficiency and productivity levels and their evolution.
About: The program bridges theory and practice with two parts: “Parametric, Static Approaches” (Week 1) and “Dynamic Approaches” (Week 2). Participants can enroll in either or both weeks.
Join us this January 2025 in Chile’s stunning landscapes! We welcome researchers globally to engage with an exceptional keynote panel and explore productivity analysis and econometrics.
Week 1 (20– 24 January 2025 ) : Data Envelopment Analysis : Static and Dynamic Efficiency and Productivity Analysis
Lecturers:
- Alfons Oude Lansink, Professor of Business Economics, Wageningen University, NL.
- Frederic Ang, Assistant Professor of Business Economic, Wageningen University, NL.
The first 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.
Week 2 (27– 31 January 2025 ): Parametric Efficiency and Productivity Analysis
Lecturers:
- Subal C. Kumbhakar, Distinguished Professor of Economics at Binghmton University, USA.
- Chris Parmeter, Associate Professor of Economics, University of Miami, USA
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.
Course activities:
The course consists of theory and method sessions in the morning followed by an afternoon practicum session. The computer lab will include applications of the theory, computer analyses with actual data sets, and interpretations in practice. Applications to various economic sectors will be considered such as agriculture, banking and finance, chain management, health, electrical power generation, and sports. Extensions of these models will be addressed that measure input-specific technical efficiency and characterize the dynamic linkages in decision making, and introduce hybrid nonparametric-parametric approaches.
Objectives:
Participants will learn the theories concerning efficiency and productivity measurement and will develop proficiency with software to facilitate the initiation of their own research in efficiency and productivity measurement. The course deals with both conceptual and methodological issues.
Target group
The course is oriented toward PhD candidates, postdoctoral researchers and others with background in economics.
Assumed prior knowledge
Microeconomic theory at the graduate level such as the treatment in H. Varian, Microeconomic Analysis, W.W. Norton. Completion of a course in dynamic optimization is strongly recommended. Econometric theory and applications at the graduate level to include topics in Maximum Likelihood Estimation and System Estimation are required and some exposure to panel data econometrics is desirable.
Outline of the Course in Hours
Students can choose to participate in the course and receive 1.5 ECTS per week, or write a paper (one for each week) and receive 3 ECTS per week. 1 ECTS is equivalent to 28 hours of work load. For participation in the full 2-week programme, which entails 168 hours of preparation, attendance and two papers, 6 ECTS can be obtained.
Language
The course will be taught in English.
Location:
Universidad Santo Tomas, Ejercito 146. Santiago, Chile.
Morning sessions: 9.30-12.30 Lecture room {to be determined}
Afternoon sessions: 14.0-17.00 Computer room {to be determined}
Software:
Software in the computer lab will be used to solve empirical data sets. (Stata and R will be used)
Course fee:
1 week €600 Euros or $550.000 Chilean Pesos
2 weeks €1.000 Euros or $950.000 Chilean Pesos
Registration :
If you want to register, contact: areyes at santotomas dot cl ; areyes@santotomas.cl
Registration and payment have to be done before November 30th, 2024.
Further Information For further information please contact Alvaro Reyes: areyes@santotomas.cl, Phone +56-2-26324701
Av. Ejercito 146
NA Santiago , Chile
