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2025/2026
1) Introduction to Econometrics (Master in Economics: Empirical Applications and Policies)
This course provides a basic-to-intermediate level introduction to the theory and practice of econometrics. The primary goal is to equip students with the fundamental knowledge and tools required to conduct empirical research in economics, assess government and business policies, perform economic forecasting, and utilise computational tools for regression analysis. Students will develop the skills necessary for comprehensive data analysis, which will be essential in various courses throughout the master's program, as well as in their final master’s thesis.
The course is structured to train students in exploring datasets, writing code to analyse relationships, and testing hypotheses related to economic phenomena. Students are introduced to the open-source statistical software R, where they will analyse different types of empirical datasets, apply various estimation techniques, and implement testing procedures in practical scenarios.
2) Econometrics (Master in Economics: Empirical Applications and Policies)
This is a course designed to equip students with the knowledge and tools necessary to conduct empirical research in economics, evaluate government and business policies, perform economic forecasting, and utilise computational tools for regression analysis. This course provides students with the essential techniques for data analysis, which they will apply throughout their master's program and in their final master's thesis.
Throughout the course, students will learn to address common econometric challenges such as heteroskedasticity, autocorrelation, endogeneity, selection bias, model misspecification, and measurement errors. The curriculum also expands the range of data analysis techniques by covering topics such as panel data and discrete choice models.
3) Microeconometría (Máster en Economía: Instrumentos del Análisis Ecónomico)
This course familiarises students with statistical and econometric methods used in analysing economic and social problems involving microeconomic units. A key focus is on causal choice models that describe the relationship between variables based on pre-existing behavioural theories. Additionally, students are introduced to different types of data commonly used in microeconometrics, such as sample selection data, panel data, and count data. The course emphasises practical applications and equips students with the necessary tools to analyse and interpret microeconomic phenomena using econometric techniques.
Students will explore a wide range of modern econometric techniques applied to economic data, covering discrete choice models, censored and truncated dependent variable models, two-step estimation methods, count data models, and panel data models. They will learn how to apply models such as Logit, Probit, Tobit, and Poisson regressions, while addressing key econometric challenges including sample selection, model specification, and estimation techniques. Practical applications using econometric software will be integrated throughout the course, reinforcing theoretical concepts through empirical exercises and real-world data analysis.
4) Summer schools
Discrete Choice Experiments and Data Analysis: Theory and Applications from Introductory to Advanced Models with Case Studies
Organised by the Department of Agricultural, Food, and Resource Economics, Michigan State University, July 24 – July 28, 2017
Instructors:
• Riccardo Scarpa – Business School - Durham University (UK)
• John Rose - University of Technology Sydney
• Rodolfo M. Nayga, Jr. - University of Arkansas
• Matthew Beck - University of Sydney
• Petr Mariel – University of the Basque Country, Bilbao
Using Discrete Choice Experiments for the Economic Valuation of Ecosystem Services in Rural Landscapes
Organised by the Technical University of Berlin, the Institute for Ecological Research and the Leibniz Centre for Agricultural Landscape Research (ZALF) in Vierraden, Germany. September 3 - September 9, 2017.
Instructors:
• Katrin Rehdanz - Christian-Albrechts-Universität zu Kiel
• Jürgen Meyerhoff - Berlin School of Economics and Law
• Petr Mariel - University of the Basque Country, Bilbao
Valuing Options of Adaptation to Climate Change Using Choice Experiments
Organised by the School of Economics, University of Cape Town, South Africa. August 29 -September 2, 2022.
Instructors:
• Petr Mariel - University of the Basque Country, Bilbao
• Jürgen Meyerhoff - Berlin School of Economics and Law
• Djiby Thiam - University of Cape Town
• Mark Zuidgeest - University of Cape Town
UEH-CELG Summer School 2024: Environmental Valuation using Discrete Choice Experiments - A Strategy for Sustainable Development in Southeast Asia
Organised by the University of Economics Ho Chi Minh City, College of Economics, Law and Government, Vietnam. June 10 - June 14, 2024.
Instructors:
• Petr Mariel - University of the Basque Country, Bilbao
• Jürgen Meyerhoff - Berlin School of Economics and Law
• Sven Anders - University of Alberta
Spring School on Environmental Valuation using Discrete Choice Experiment
Organised by Università degli Studi di Messina, Italy. May 26 - May 30, 2025.
Instructors:
• Petr Mariel - University of the Basque Country
• Jürgen Meyerhoff - Berlin School of Economics and Law
• Maria De Salvo - Università degli Studi di Messina
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