Econometrics III

2026-2027

Algemene informatie

Vakcode E_EOR3_TR3
Studiepunten 6 EC
Periode P4
Vakniveau 300
Onderwijstaal Engels
Faculteit School of Business and Economics
Vakcoördinator prof. dr. S.J. Koopman
Examinator prof. dr. S.J. Koopman
Docenten prof. dr. S.J. Koopman
Onderdeel van opleiding(en)

Praktische informatie

Voor dit vak moet je zelf intekenen. De inteken- en afmeldtermijnen staan op VU.nl

Onderwijsvorm Werkcollege, Computerpracticum, Hoorcollege

Doelgroepen

Dit vak is ook toegankelijk als:

Dit vak wordt in het Engels aangeboden. Omschrijvingen kunnen daardoor mogelijk alleen in het Engels worden weergegeven.

Doel vak

Obtaining basic understanding of multivariate econometric methods including seemingly unrelated regressions, panel data methods, difference-in-differences, vector autoregressive models, impulse responses, cointegration, and vector error correction models. The theory, practice and empirical aspects are equally important.

Inhoud vak

Econometrics III provides a thorough introduction to multivariate econometrics including panel data models and multivariate time series models. In particular, we will discuss fixed effects, random effects, one- and two-error component panel models, vector autoregressive models, impulse responses, cointegration, vector error correction models, including model properties, estimation, and implementation for real data.

Aanvullende informatie onderwijsvormen

Lectures, tutorials, (online) support for assignments

Toetsvorm

Exam (50%) and practical assignments (50%)

Vereiste voorkennis

There are no formal entry requirements but please take a look at the recommended background knowledge.

Literatuur

Literature references:

  • H. Lütkepohl, New Introduction to Multiple Time Series Analysis (2006), Springer
  • J.D. Hamilton, Time Series Analysis (1994), Princeton University Press
  • B.H. Baltagi, Econometric Analysis of Panel Data (5th Edition, 2013), Wiley

Aanvullende informatie doelgroep

The course is targeted at students in the Bachelor Econometrics and Operations Research (EOR) and in the Bachelor Econometrics and Data Science (EDS).

It is also recommended for students who are not enrolled in the Bachelor EOR and EDS, but who are interested in pursuing a M.Sc. in Econometrics.

Overige informatie

The course is suitable to be taken in an exchange program.

Toelichting Canvas

All course materials will be made available on Canvas.

Aanbevolen voorkennis

This course is open to all students; it is the responsibility of the student to have obtained the necessary background for this technical and challenging course. A strong recommendation is to have successfully completed the main courses in Year 1 and the Year 2 course Econometrics I. It is further strongly recommended to have completed the Year 2 courses Econometrics II. Generally, we require students to master an intermediate level in algebra, calculus, computer science (programming in R, Matlab or Python), probability, statistics and econometrics.