| 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 | ||
| Adquirir los fundamentos estadísticos de la teoría de la estimación en la que se sustentan la práctica totalidad de los modelos econométricos. | AC1 |
BC1 BC2 |
CC3 |
| Analizar aproximaciones alternativas en la definición de estimadores y comparar sus diferentes propiedades estadísticas. | AC2 |
BC3 |
CC1 |
| Contents |
| Topic | Sub-topic |
| 1-LINEAR REGRESSION MODELS | Review of basic concepts |
| 2-HETEROSKEDASTICITY | Heteroskedasticity-robust inference Generalized least squares |
| 3-INSTRUMENTAL VARIABLES ESTIMATION | Motivation Omitted variables Testing for endogeneity Two-stage least squares |
| 4-LIMITED DEPENDENT VARIABLE MODELS | Motivation Logit/Probit Tobit and Poisson regressions |
| 5-BASIC PANEL DATA MODELS |
Examples of micro panel and macro panel data |
| 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 |
| 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 | Temps per a resoldre dubtes als estudiants. |
| Personalized attention |
|
|
| Assessment |
| Description | Weight | ||
| Laboratory practicals | Ejercicios semanales utilizando softwares econométricos (Gretl) | 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 |
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.