Competencies and objectives

 

Course context for academic year 2019-20

This is the first Econometrics course of the BSc in Economics and it is programmed for the second semester of the second year. Students take previously two courses in Statistics: Statistics I and Statistics II, where they study descriptive statistics, probability and inference. Econometrics I covers the linear regression model for cross section data. The first unit studies the simple linear regression model. Units 2 and 3 cover multiple regression analysis: Estimation and inference under normality. Unit 4 analyses the large sample properties of OLS and asymptotic inference. Qualitative factors in the linear model are studied in unit 5. Finally unit 6 studies the linear model with heteroscedastic errors. The students continue studying econometrics in the third year where they take Econometrics II.

 

 

Course content (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2019-20

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 that is impossible for non-professionals to recognise from the data.
  • 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 basic econometric techniques for data analysis.
  • To understand and know how to use the main socio-economic databases.
  • To formulate relationships between economic variables, quantifying them and evaluating the results thus obtained.
  • To assess the different responses to an economic variable when other variables change using an econometric model. To know how to use models to obtain predictions.
  • To know how to interpret the results obtained when estimating a model.

 

 

Specific objectives stated by the academic staff for academic year 2019-20

 

 

General

Code: 35018
Lecturer responsible:
DENIA CUESTA, ALFONSA
Credits ECTS: 6,00
Theoretical credits: 1,20
Practical credits: 1,20
Distance-base hours: 3,60

Departments involved

  • Dept: FOUNDATIONS OF ECONOMIC ANALYSIS
    Area: FOUNDATIONS OF ECONOMIC ANALYSIS
    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