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.

 

 

Learning outcomes / Course competencies (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: 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