Massimo Filippini: Catalogue data in Autumn Semester 2018

Name Prof. Dr. Massimo Filippini
FieldEnergy and Public Economics
Energy and Public Economics
ETH Zürich, ZUE E 15
Zürichbergstrasse 18
8092 Zürich
Telephone+41 44 632 06 49
DepartmentManagement, Technology, and Economics
RelationshipFull Professor

363-0503-00LPrinciples of Microeconomics
GESS (Science in Perspective): Suitable for Master students.
Bachelor students should take the course ‚Einführung in die Mikroökonomie (363-1109-00L)‘.
3 credits2GM. Filippini
AbstractThe course introduces basic principles, problems and approaches of microeconomics. This provides them with reflective and contextual knowledge on how societies use scarce resources to produce goods and services and distribute them among themselves.
ObjectiveThe learning objectives of the course are:

(1) Students must be able to discuss basic principles, problems and approaches in microeconomics. (2) Students can analyse and explain simple economic principles in a market using supply and demand graphs. (3) Students can contrast different market structures and describe firm and consumer behaviour. (4) Students can identify market failures such as externalities related to market activities and illustrate how these affect the economy as a whole. (5) Students can also recognize behavioural failures within a market and discuss basic concepts related to behavioural economics. (6) Students can apply simple mathematical treatment of some basic concepts and can solve utility maximisation and cost minimisation problems.
Lecture notesLecture notes, exercises and reference material can be downloaded from Moodle.
LiteratureN. Gregory Mankiw and Mark P. Taylor (2017), "Economics", 4th edition, South-Western Cengage Learning.
The book can also be used for the course 'Principles of Macroeconomics' (Sturm)

For students taking only the course 'Principles of Microeconomics' there is a shorter version of the same book:
N. Gregory Mankiw and Mark P. Taylor (2017), "Microeconomics", 4th edition, South-Western Cengage Learning.

1. R. Pindyck and D. Rubinfeld (2018), "Microeconomics", 9th edition, Pearson Education.
2. Varian, H.R. (2014), "Intermediate Microeconomics", 9th edition, Norton & Company
364-0513-00LEmpirical Methods in Energy and Environmental Economics Restricted registration - show details
Does not take place this semester.
3 credits2VM. Filippini
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).