364-0513-00L  Empirical Methods in Energy and Environmental Economics

SemesterAutumn Semester 2018
LecturersM. Filippini
Periodicitytwo-yearly recurring course
CourseDoes not take place this semester.
Language of instructionEnglish


AbstractThis course is designed for PhD students interested in Energy and Environmental Economics. It is open to advanced Master students from D-MTEC and D-MATH (ETH Zurich).

The focus of the lectures is on applied econometrics in the energy and environmental fields.
ObjectiveThe goal is to present a coherent description of discrete choice modelling (e.g. conditional logit model) and its generalization in the form of count modelling (e.g. Poisson and negative binomial models) and survival analysis (e.g. proportional hazard Weibull model).

The contents and discussions put emphasis on real examples and policy applications. The presentations and discussions are based on a selection of recent research papers relevant to the covered topics. In each section of the seminar, the students will have the opportunity of reviewing and presenting some of the relevant papers to the class.
ContentPart I: Discrete Choice Models; Professor Greene (16 hours)

1. Binary choice
2. Ordered choice
3. Multinomial choice
4. Multinomial choice and heterogeneity
5. Latent class models
6. Mixed logit

Part II: Count and survival; modelling; Dr. Martinez-Cruz (13 hours)
1. Count modelling
1.a Poisson model
1.b Negative binomial model

2. Survival modelling
2.a Parametric survival models (e.g. Weibull)
2.b Semi-parametric survival models (e.g. Box-Cox)

3. Latent class specifications
Lecture notesDuring the course of the lecture notes will be made available to the students.
Prerequisites / NoticeStudents are expected to have attended a course in advanced microeconomics and advanced econometrics.

Students will be required to bring for the lab sessions a laptop computer with the installed software (NLOGIT, STATA, or an equivalent package).