Massimo Filippini: Katalogdaten im Herbstsemester 2018
|Name||Herr Prof. Dr. Massimo Filippini|
|Lehrgebiet||Energieökonomie und Ökonomie des öffentlichen Sektors|
Energy and Public Economics
ETH Zürich, ZUE E 15
|Telefon||+41 44 632 06 49|
|Departement||Management, Technologie und Ökonomie|
|363-0503-00L||Principles of Microeconomics|
GESS (Science in Perspective): Suitable for Master students.
Bachelor students should take the course ‚Einführung in die Mikroökonomie (363-1109-00L)‘.
|3 KP||2G||M. Filippini|
|Kurzbeschreibung||The 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.|
|Lernziel||The 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.
|Skript||Lecture notes, exercises and reference material can be downloaded from Moodle.|
|Literatur||N. 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
|364-0513-00L||Empirical Methods in Energy and Environmental Economics |
Findet dieses Semester nicht statt.
|3 KP||2V||M. Filippini|
|Kurzbeschreibung||This 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.
|Lernziel||The 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.
|Inhalt||Part 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
|Skript||During the course of the lecture notes will be made available to the students.|
|Voraussetzungen / Besonderes||Students 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).