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Course description

Competencies and objectives


Course context for academic year 2015-16

This is the second course in Econometrics in the Degree of Economics and is scheduled for the first term of the third year. The students have previously completed two courses in Statistics and Econometrics I in the previous semester (second semester of the second year). Econometrics II continues the study of the regression model presented in Econometrics I, discussing their application in more general situations. On the one hand, we consider the regression analysis with time series data (Part 1) and with longitudinal data (Part 2) instead of only with cross-sectional data and Econometrics I. In addition, we discuss how estimation and inference is carried out when the basic assumptions studied in Econometrics I does not hold. In particular, Lesson 2 (Part 1) focuses on the presence of autocorrelation.  Lesson 3 (Part 2) discuss how to proceed if the model includes endogenous regressors. Finally, Lessons 5 and 6 (Part 3) consider nonlinear models.



Course content (verified by ANECA in official undergraduate and Master’s degrees)

General Competences (CG)

  • CG1 : Capacity to find and analyse information.
  • CG4 : Apply professional criteria based on the use of technical instruments to analyse problems.
  • CG5 : Capacity to take decisions by applying acquired knowledge to practical situations.
  • CG6 : Obtain important information from the data that is impossible for non-professionals to recognise.
  • CG8 : Analyse problems using critical reasoning, without prejudices, precisely and rigorously.


General Competences acquired at University of Alicante (CGUA)

  • CGUA1 : Read and communicate in a foreign language in a professional environment, especially in English.
  • CGUA2 : Use computer, I.T. and communications technology tools as a matter of course in all of one's professional activities.
  • CGUA3 : Capacity for oral and written communication.


Specific Competences (CE)

  • CE1 : Contribute towards the correct management of resource allocation in both the private and public context.
  • CE10 : Capacity to apply the knowledge and skills acquired to solve theoretical and applied economic problems.
  • CE12 : Be able to use the appropriate tools for the analysis, diagnosis and solution of economic questions and problems.
  • CE2 : Identify and anticipate relevant economic problems relating to resource allocation in general, in both the private and public context.
  • CE3 : Bring a rational approach to the analysis and description of any aspect of economic reality.
  • CE5 : Issue expert reports on specific economic situations (international, national or regional) or on sectors of the same.
  • CE8 : Identify the sources of relevant economic information and their content.




Learning outcomes (Training objectives)

- To understand intermediate econometric techniques for data analysis.

- To establish relations between economic variables, quantifying them and evaluating results, in situations where basic hypotheses cannot be met.

- To assess different responses to an economic variable when other variables change, usingan econometric model.

- To develop the ability to interpret the results obtained when estimating a model where basic hypotheses cannot be met.



Specific objectives stated by the academic staff for academic year 2015-16






Code: 35024
Lecturer responsible:
Credits ECTS: 6,00
Theoretical credits: 1,20
Practical credits: 1,20
Distance-base hours: 3,60

Departments involved

    Theoretical credits: 1,2
    Practical credits: 1,2
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught