363-1137-00L  Applied Econometrics in Environmental and Energy Economics

SemesterAutumn Semester 2023
LecturersD. Cerruti, S. Srinivasan
Periodicityyearly recurring course
Language of instructionEnglish
CommentIt is highly recommended to take 363-0570-00L Principles of Econometrics first.



Courses

NumberTitleHoursLecturers
363-1137-00 VApplied Econometrics in Environmental and Energy Economics2 hrs
Mon08:15-10:00HG E 21 »
D. Cerruti, S. Srinivasan

Catalogue data

AbstractThe course introduces to the most common empirical methods for the analysis of issues in environmental, energy, and resource economics. The course includes computer laboratory sessions, and covers the following broad topics: demand models, discrete choice models, empirical methods in policy evaluation, field- and quasi-experiments.
ObjectiveAt the end of the course, the students will be able to: understand the most common empirical methodologies used in environmental, energy, and resource economics; understand the problems the methodologies learnt in class aim to address; appreciate the importance of causal inference in empirical economics; read and understand the research papers in the literature; apply the empirical methods learnt in class using the software R.
ContentThe course introduces students to empirical statistical methods that have wide application in environmental, energy, and resource economics and it is divided in four blocks. The first block is a quick review of the basic econometric methodology and concepts (OLS, standard errors, logit/probit models); the second block introduces demand models like the Almost Ideal Demand System, discrete choice models, and their evolutions; the third block explores causal inference in empirical economics and the main reduced-form econometric techniques used in policy evaluation, such as difference-in-differences, regression discontinuity and synthetic control; the fourth block introduces field experiments and instrumental variables, and their characteristics.
At the end of each block there will be a computer laboratory class in which the student will learn to apply the methodologies learnt in class using the statistical open-source software R. Throughout the course, students will have the chance to work on actual data used for analysis in economics papers.
The lectures will make use of current research papers in the literature to illustrate practical examples in which the methodologies learnt in class have been used. Students will be expected to read in advance the paper that will be explained during the lecture.
The evaluation policy has the aim to allow students to get practical experience on the econometric methodologies learnt in class. Thus, beyond a final open-book computer exercise exam {60% of the grade), the course includes short take­home computer exercises {40% of the grade).
As the course will be centered on econometric methods, it is recommended that students have taken 363-0570-00L Principles of Econometrics first, or have otherwise a solid knowledge of basic econometric methodologies as detailed in Part 1 of Wooldridge, Jeffrey M. (2018) lntroductory Econometrics : A Modern Approach. Seventh ed. ISBN: 978-1-337-55886-0. Knowledge of statistical software R is helpful, but not required and will be taught in the computer laboratory sessions.
Prerequisites / NoticeIt is highly recommended to take 363-0570-00L Principles of Econometrics first.
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesassessed
Techniques and Technologiesassessed
Method-specific CompetenciesAnalytical Competenciesassessed
Problem-solvingassessed
Personal CompetenciesAdaptability and Flexibilityfostered
Creative Thinkingassessed
Critical Thinkingassessed
Integrity and Work Ethicsfostered
Self-direction and Self-management assessed

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits3 credits
ExaminersD. Cerruti, S. Srinivasan
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examination40% home computer exercises and 60% final computer lab examination (open book).
Online examinationThe examination may take place on the computer.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

Places40 at the most
Waiting listuntil 18.09.2023
End of registration periodRegistration only possible until 02.10.2023

Offered in

ProgrammeSectionType
Agricultural Sciences MasterMethods in Agricultural EconomicsWInformation
Management, Technology and Economics MasterEconomic DynamicsWInformation