Competencies and objectives

 

Course context for academic year 2012-13

Esta es la primera asignatura de Econometría del Grado en Economía y está programada para el segundo semestre del segundo año. Antes de esta asignatura los estudiantes cursan las asignaturas Estadística I y Estadística II que cubren estadística descriptiva, probabilidad e inferencia. El curso de Econometría I está dedicado al estudio del modelo de regresión lineal con datos de sección cruzada. En el primer bloque se introduce el modelo de regresión simple. En los bloques 2 y 3 se estudia el modelo de regresión múltiple: Estimación e inferencia bajo normalidad. En el bloque 4 se analizan las propiedades del estimador MCO en muestras grandes y se estudian los contrastes asintóticos.  En el bloque 5 se aborda el tratamiento de factores cualitativos en el modelo de regresión. Por último, en el bloque 6 se estudia el modelo de regresión con errores heteroscedásticos. Esta asignatura tiene su continuación en Econometría II que se cursa en el primer cuatrimestre del tercer curso.

 

 

Course content (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2012-13

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 2012-13

 

 

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