IDENTIFYING DATA 2013_14
Subject (*) ADVANCED ECONOMETRICS Code 16635202
Study programme
Economics (2012)
Cycle 2nd
Descriptors Credits Type Year Period
3 Optional Only annual
Language
Català
Department Economics
Coordinator
MANJÓN ANTOLÍN, MIGUEL CARLOS
E-mail miguel.manjon@urv.cat
Lecturers
MANJÓN ANTOLÍN, MIGUEL CARLOS
Web
General description and relevant information This course is oriented towards both micro- and macro-econometric methods. Topics will be selected from the following: Maximum likelihood estimation, two-stage least squares, vector autoregressive (VAR) models and panel data models. Throughout we will try to emphasize the essential interplay between econometric theory and economic applications.

Competences
Type A Code Competences Specific
  Common
  AC1 Adquirir coneixements avançats per analitzar teòrica i empíricament la realitat econòmica. (C)
  AC2 Manejar les tècniques economètriques a l'ús per contrastar empíricament prediccions teòriques. (C)
  Professional
  Research
Type B Code Competences Transversal
  Common
  BC1 Learning to learn
  BC2 Effective solutions to complex problems
  BC3 Critical, logical and creative thinking, and an ability to innovate
Type C Code Competences Nuclear
  Common
  CC1 Have an intermediate mastery of a foreign language, preferably English
  CC3 Be able to manage information and knowledge

Learning aims
Objectives Competences
AC1
BC1
BC2
CC3
AC2
BC3
CC1

Contents
Topic Sub-topic
1-MAXIMUM LIKELIHOOD ESTIMATION
Linear, binary and GARCH models

2-TWO-STAGE LEAST SQUARES
Time series vs. pooled cross section and panel data models

3-VECTOR AUTOREGRESSIVE (VAR) MODELS Applications to macroeconomics

Planning
Methodologies  ::  Tests
  Competences (*) Class hours Hours outside the classroom (**) Total hours
Introductory activities
1 0 1
 
Lecture
19 30 49
Laboratory practicals
8 10 18
 
Personal tuition
5 0 5
 
Extended-answer tests
2 0 2
 
(*) On e-learning, hours of virtual attendance of the teacher.
(**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies
  Description
Introductory activities Presentacion del curso, metodologías, etc.
Lecture Analisis y presentación de materiales. Discusión de resultados
Laboratory practicals Exposición de resumenes críticos de las lecturas recomendadas.
Personal tuition

Personalized attention
 
Personal tuition
Description
Haurà cinc hores de consulta i contacte per e-mail.

Assessment
  Description Weight
Laboratory practicals Ejercicios semanales utilizando software econométrico.
10%
Extended-answer tests Un examen escrito al finalizar del curso 90%
 
Other comments and second exam session

La segona convocatòria consistirà en un examen final que val el 100% de la nota.


Sources of information

Basic Greene W.H., Econometric Analysis, 3rd Edition,

- WooldridgeJ.M. (2003), Introductory Econometrics: A Modern Approach, 2nd edn, Thomson.

Complementary

Recommendations


Subjects that it is recommended to have taken before
QUANTITATIVE METHODS/16635105
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.