IDENTIFYING DATA 2023_24
Subject (*) ANALYSIS OF MACROECONOMIC DATA Code 16224213
Study programme
Bachelor's Degree in Economics (2009)
Cycle 1st
Descriptors Credits Type Year Period
6 Optional Third 2Q
Language
Castellà
Department Economics
Coordinator
ASLANIDIS , NEKTARIOS
E-mail nektarios.aslanidis@urv.cat
Lecturers
ASLANIDIS , NEKTARIOS
Web
General description and relevant information <b>DESCRIPCIÓ GENERAL DE L’ASSIGNATURA </b><div>La idea d'aquesta assignatura és que els alumnes aprenguin plantejar models macroeconòmics. Es plantejaran aplicacions amb dades macroeconòmiques utilitzant diversos programaris economètrics (Eviews, Gretl o Stata).</div>

Competences
Type A Code Competences Specific
 A2 Students master the basic methods and tools for analyzing business reality.
 A3 Find, analyze and interpret quantitative and qualitative information of a financial, accounting, economic, social and legal nature that is relevant to the taking of business decisions.
Type B Code Competences Transversal
 B3 Critical, logical and creative thinking, and an ability to innovate
 B4 Autonomy, responsibility and initiative
Type C Code Competences Nuclear
 C3 Be able to manage information and knowledge

Learning outcomes
Type A Code Learning outcomes
 A2 Apply econometric techniques to the empirical analysis of problems related to business reality.
 A3 Learn the advanced elements of the linear regression model and multi-equation models.
Identify how models can be applied to macroeconomic problems (temporal and spatial dimension of economic activity).
Use econometric software appropriately.
Type B Code Learning outcomes
 B3 Be aware of the limitations and weak points of their work processes and methods.
Apply innovative techniques and obtain results.
 B4 Do the work planned in accordance with the quality criteria provided.
Suggest ways of improving the quality of work.
Type C Code Learning outcomes
 C3 Have a full understanding of the economic, legal, social and ethical implications of accessing and using information.

Contents
Topic Sub-topic
Tema 1:Dades macroeconòmiques
1.1 Característiques de dades macroeconòmiques
1.2 Fonts més importants sobre dades macroeconòmiques
1.3. Software
Tema 2: Models de dades de panel
2.1. Models de dades de panel estatics
2.2. Models de dades de panel dinamics
2.3. Panel unit root tests
2.4. Estimació difference-in-differences (DiD)
2.5. Aplicacions
Tema 3: Modelos VAR
3.1 Modelo estructural bivariant
3.2 Estimació
3.3 Indentificació
3.4 Aplicacions

Planning
Methodologies  ::  Tests
  Competences (*) Class hours
Hours outside the classroom
(**) Total hours
Introductory activities
2 2 4
Lecture
A2
A3
B3
B4
C3
20 50 70
Laboratory practicals
A2
A3
B3
B4
C3
20 40 60
Seminars
A2
A3
B3
B4
C3
2 6 8
Assignments
A2
A3
B3
B4
C3
2 0 2
Personal attention
2 0 2
 
Multiple-choice objective tests
A2
A3
B3
B4
C3
2 0 2
Extended-answer tests
A2
A3
B3
B4
C3
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 Parlar de dades macroeconomiques i dades de panell.
Lecture Presentar models economètrics per a dades macroeconòmics.
Laboratory practicals Estimar els models utilizant EViews, GRETL o STATA.
Seminars Extensions de models economètrics per a dades macroeconòmiques.
Assignments Treballs en grup. Utilitzar dades macroeconòmiques i estimar models.
Personal attention Hores de consulta/visita.

Personalized attention
Description
L'atenció personalitzada en l'assignatura se planteja amb hores de consulta(visita).
En cas de que hagi confinament l' atenció serà via correu electrònic o via Teams.

Assessment
Methodologies Competences Description Weight        
Assignments
A2
A3
B3
B4
C3
Un treball en grup. 10%
Multiple-choice objective tests
A2
A3
B3
B4
C3
Un examen tipus test sobre els temes 1 i 2. 40%
Extended-answer tests
A2
A3
B3
B4
C3
Un examen final de contingut de tota l'assignatura 50%. 50%
Others  
 
Other comments and second exam session

La segona convocatòria consisteix en un examen de contingut de tota l'assignatura i val 100% de la nota final.


Sources of information

Basic Gujarati, D. N. , Econometría, MacGraw-Hill,
Aslanidis, N., Applied Macroeconometrics , Publicacions URV, 2017

Complementary

Recommendations


Subjects that it is recommended to have taken before
ECONOMETRICS I/16224114
ECONOMETRICS II/16224115
(*)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.