Andreas Beerli: Catalogue data in Spring Semester 2019
|Dr. Andreas Beerli
KOF FB KOF Lab
ETH Zürich, LEE G 116
|+41 44 633 82 35
|Management, Technology, and Economics
|Principles of Econometrics
Prerequisites: previous knowledge in economics.
|J.‑E. Sturm, A. Beerli
|This econometrics course focuses on regression analysis. It covers fundamental methods of cross-sectional, time series, and panel data analysis.
|This course provides an introduction to fundamental econometric methods. An equal emphasis is placed both on theoretical understanding and on applying methods to real-world problems.
|This course is intended for students who are interested in econometrics and have already taken introductory course in economics (e.g. the course "Principles of Macroeconomics". Econometrics stands for the application of some specific statistical methods to the field of economics. In econometrics, the starting point is a theoretical model explaining some aspect of the economy. This model is compared with the available statistical facts about the economy. Econometrics uses statistical tests to tackle various questions, including: How well or badly does the model fit the observed facts? Does any other available model fit them any better? In any model, how large is the estimate of the effects of one variable on any other, and how reliable is the estimate? How far into the future, and with what degree of reliability, can the model predict any variable of interest?
|Wooldridge, Jeffrey M. (2016), Introductory Econometrics : A Modern Approach, 6th Edition. ISBN 130527010X | 9781305270107