Checking date: 08/07/2020

Course: 2020/2021

Applied Economics
Study: Bachelor in Economics (202)

Coordinating teacher: CACERES DELPIANO, JULIO

Department assigned to the subject: Department of Economics

Type: Compulsory
ECTS Credits: 6.0 ECTS


Students are expected to have completed
A 14-week introductory course on Econometrics.
Competences and skills that will be acquired and learning results. Further information on this link
This is an introductory course to applied research in Economics. Linear econometric techniques together with the required programming skills will be studied. Actual examples of influential studies will be presented, and in some cases, replicated in computer sessions.
Description of contents: programme
Section 1: Data Management and regression: Linear regression model. Models with binary dependent variable. Use and organization of gretl databases. Gretl regression. Section 2: Instrumental Variables: Endogenous explanatory variables . Consequences on estimation and inference. Valid instruments. Tests of endogeneity and overidentifying restrictions . Section 3: Pooled Data with Cross Sections. The difference-in-differences estimator. Panel data. First difference estimator. Fixed effects estimator. Random effects estimator.
Learning activities and methodology
The course will consist of three parts: - Theoretical lectures based on the presentation of influential empirical papers. Reference bibliography will be provided in order to aid the students in delving deeper into the topics they find more interesting. - Theoretical lectures to teach the students the use of econometric software at an intermediate level. Class notes will be provided. - Reduced classes in computer classrooms to allow the students to replicate some of the empirical papers presented in class. The theoretical lessons have the goal of facilitating the understanding of several academic empirical papers. Computer classes aim to give the students the chance of apply the econometric techniques learnt in several courses in order to do empirical work.
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100
Basic Bibliography
  • James H. Stock y Mark M. Watson. Introduction to Econometrics. Pearson Education. 2011
  • Joshua Angrist and Jörn-Steffen Pischke. Mastering 'Metrics. The Path from Cause to Effect. Princeton University Press. 2014

The course syllabus and the academic weekly planning may change due academic events or other reasons.

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