| Competences |
| Type A | Code | Competences Specific |
| A8 | Use advanced quantitative techniques to develop a research project within the international markets framework (research speciality). | |
| Type B | Code | Competences Transversal |
| CT2 | Make judgements on the basis of the efficient management and use of information. | |
| CT8 | Develop sufficient independence to work on research projects and scientific and technological ventures within their discipline. | |
| Type C | Code | Competences Nuclear |
| Learning outcomes |
| Type A | Code | Learning outcomes |
| A8 |
Know how to select and apply advanced mathematical and econometric techniques to solve specific problems. | |
| Type B | Code | Learning outcomes |
| CT2 |
Make judgements on the basis of the efficient management and use of information. | |
| CT8 |
Develop sufficient independence to work on research projects and scientific and technological ventures within their discipline. | |
| Type C | Code | Learning outcomes |
| Contents |
| Topic | Sub-topic |
| 1- MODELOS DE REGRESIÓN LINEALES | 1.1. Revisión de conceptos básicos |
| 2- HETEROCEDASTICIDAD | 2.1 Inferencia robusta a la Heterocedasticidad 2.2. Mínimos cuadrados generalizados |
| 3-INSTRUMENTAL VARIABLES DE ESTIMACIÓN | 3.1. Motivación 3.2. Variables omitidas 3.3. Las pruebas de endogeneidad 3.4. Mínimos cuadrados en dos etapas |
| 4- MODELOS CON VARIABLE DEPENDIENTE DISCRETA | 4.1. Motivación 4.2. Los modelos Logit / Probit 4.3. Los modelos de regresión Tobit y Poisson |
| 5- MODELOS BÁSICOS PARA DATOS DE PANEL |
5.1. Ejemplos de datos de panel micro y datos de panel macro |
| Planning |
| Methodologies :: Tests | ||||||||||
| Competences | (*) Class hours |
Hours outside the classroom |
(**) Total hours | |||||||
| Introductory activities |
|
1 | 1 | 2 | ||||||
| Lecture |
|
12 | 25 | 37 | ||||||
| ICT practicals |
|
15 | 15 | 30 | ||||||
| Personal tuition |
|
2 | 0 | 2 | ||||||
| Extended-answer tests |
|
2 | 2 | 4 | ||||||
| (*) 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 |
| Description | |
| Introductory activities | Introducció als continguts de l'assignatura |
| Lecture | Exposició dels continguts de l'assignatura en l'aula magistral |
| ICT practicals | Pràctiques individuals i en grup a l'aula de informàtica |
| Personal tuition | Tutories |
| Personalized attention |
| Description |
| Tutories individuals |
| Assessment |
| Methodologies | Competences | Description | Weight | ||||
| ICT practicals |
|
Exercicis setmanals utilitzant sofware economètric (Gretl) | 10% | ||||
| Extended-answer tests |
|
Examen final de tots els continguts de l'assignatura | 90% | ||||
| Others |
| Other comments and second exam session | |||
|
La segona convocatòria consistirà en un examen sobre tots els continguts de l'assignatura (100%) de la nota final |
|||
| Sources of information |
| Basic |
Wooldridge J.M, Introductory Econometrics:A Modern Approach, 2nd edition, Thomson, 2003 |
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Wooldridge J.M., Introductory Econometrics:A Modern Approach, 2nd edition, Thomson, 2003 |
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| Complementary | |||||||||
| Recommendations |
(*)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.