Guías Docentes Electrónicas
1. General information
Course:
ECONOMETRIC METHODS AND MODELLING
Code:
53322
Type:
CORE COURSE
ECTS credits:
6
Degree:
316 - UNDERGRADUATE DEGREE IN ECONOMICS
Academic year:
2019-20
Center:
5 - FACULTY OF ECONOMICS AND BUSINESS
Group(s):
10  17 
Year:
3
Duration:
C2
Main language:
Spanish
Second language:
English
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer: NURIA HUETE ALCOCER - Group(s): 10 
Building/Office
Department
Phone number
Email
Office hours
Facultad de Ciencias Económicas y Empresariales de Albacete. Despacho 1.26
ECO .ESP. E INT.,ECONOMET. E Hª E INS.EC
8295
nuria.huete@uclm.es
Miércoles y Jueves de 10:30 -11:30 h y de 15:30 -17:30 h Mandar antes un email.

Lecturer: VICTOR RAUL LOPEZ RUIZ - Group(s): 10  17 
Building/Office
Department
Phone number
Email
Office hours
Facultad de CC EE y EE / 3.09
ECO .ESP. E INT.,ECONOMET. E Hª E INS.EC
2349
victor.lopez@uclm.es
Miércoles y jueves (12:00-13:00h) y Viernes (10:00-14:00h).

2. Pre-Requisites


It is recommended to have passed the disciplines of Statistics and Mathematics. Also have completed the previous subject of Introduction to Econometrics.

3. Justification in the curriculum, relation to other subjects and to the profession
The subject of Econometric Methods and Models falls under the third year of the Degree in Economics (fifth course of Double Degree in Economics-Law) and is taught in the second semester after having taken the subject of Introduction to Econometrics, in the first semester.

The main objective of the subject is to provide the fundamental tools for the professional construction of models taking into account the different specific approaches of econometrics in response to complex situations of reality: generalization for the randomization of single-equation models, dynamic relations approach, analysis of series as processes, simultaneity of relations in the economy, mixed data, etc.

On the other hand, the student's ability will be considered both in the management of these instruments and the available data sources, and their ability to make economic reports in groups. Competencies and skills of the economist who must know their reality and environment through the sources and data that are published, as well as the need to operate with different software to perform the methods on the analyzed economic relations and evaluate impacts or policies, strategically planning the more successful at the interest set in an environment of uncertainty.

In this way, not only a series of methods and models is disclosed, but also one must teach them to work with them in reality, for which they must be complemented with economic theory and with the necessary quantitative information, hence their relationship with the subjects of Statistics, Mathematics and Economic Theory.

4. Degree competences achieved in this course
Course competences
Code Description
E03 Ability to find economic data and select relevant facts.
E05 Ability to contribute to the establishment of strategies which will allow for the efficient allocation of resources, the generation of wealth and a suitable distribution of income.
E06 Application of profesional criteria to the analysis of problems, based on the use of technical tools.
E16 Identify relevant sources of financial information and its content, as well as the ability to derive the important information from the data, otherwise completely unknown to non-professionals.
G01 Possession of the skills needed for continuous, self-led, independent learning, which will allow students to develop the learning abilities needed to undertake further study with a high degree of independence.
G03 Develop oral and written communication skills in order to prepare reports, research projects and business projects and defend them before any commission or group of professionals (specialised or non-specialised) in more than one language, by collecting relevant evidence and interpreting it appropriately so as to reach conclusions.
G04 Ability for the use and development of information and communication technology in the development of professional activity.
G05 Capacity for teamwork, to lead, direct, plan and supervise multidisciplinary and multicultural teams in both national and international environments.
5. Objectives or Learning Outcomes
Course learning outcomes
Description
Enable student for autonomous work and learning, as well as for personal initiative
Train the student to search for information in order to analyze it, interpret is meaning, synthesize it and communicate it to others.
Train the student to work out problems in creative and innovative ways.
Know the tools and methods for the quantitative analysis of the overall economy
Additional outcomes
Description
Train the student to apply quantitative methods as support for decision making in the uncertain environment.
6. Units / Contents
  • Unit 1: GENERALIZED LINEAR MODEL
    • Unit 1.1: EXTENSIONS OF THE LINEAR REGRESSION MODEL
    • Unit 1.2: STRUCTURAL CHANGE
    • Unit 1.3: AUTOCORRELATION
    • Unit 1.4: HETEROCEDASTICITY
  • Unit 2: DYNAMIC MODELS
    • Unit 2.1: DISTRIBUTED LAGS
    • Unit 2.2: TIME SERIES MODELS: ARIMA
  • Unit 3: MULTI EQUATION MODELS
    • Unit 3.1: SPECIFICATION, IDENTIFICATION AND ESTIMATION
    • Unit 3.2: FORECAST AND SIMULATION
  • Unit 4: SPECIFIC TOPICS
    • Unit 4.1: MACRO-ECONOMETRICS
    • Unit 4.2: PANEL DATA MODELS
    • Unit 4.3: APPLIED MODELS IN MACROECONOMICS
    • Unit 4.4: MANAGEMENT INFORMATION SYSTEMS
7. Activities, Units/Modules and Methodology
Training Activity Methodology Related Competences ECTS Hours As Com R Description *
Class Attendance (theory) [ON-SITE] Lectures E03 E05 E06 E16 G01 G04 1.2 30 Y N N
Class Attendance (practical) [ON-SITE] Cooperative / Collaborative Learning E03 E06 E16 G01 G03 G04 G05 0.67 16.75 Y N N
Class Attendance (theory) [ON-SITE] Combination of methods E03 E06 E16 G01 G04 0.13 3.25 Y N N
Writing of reports or projects [OFF-SITE] Group Work E03 E05 E06 E16 G01 G03 G04 G05 1.2 30 Y Y N
Writing of reports or projects [OFF-SITE] Case Studies E05 E06 G01 G03 G04 0.56 14 Y N N
Project or Topic Presentations [ON-SITE] Combination of methods G03 G05 0.04 1 Y N N
On-line Activities [OFF-SITE] Self-study G01 G03 0.24 6 Y N N
On-line debates and forums [OFF-SITE] Combination of methods E06 G01 G03 0.24 6 Y N N
Study and Exam Preparation [OFF-SITE] Combination of methods E05 E06 E16 G01 G04 1.6 40 Y N Y
Group tutoring sessions [ON-SITE] Guided or supervised work E05 G03 G05 0.04 1 N N N
Final test [ON-SITE] Assessment tests E05 E06 E16 G01 G03 0.08 2 Y Y Y
Total: 6 150
Total credits of in-class work: 2.16 Total class time hours: 54
Total credits of out of class work: 3.84 Total hours of out of class work: 96

As: Assessable training activity
Com: Training activity of compulsory overcoming
R: Rescheduling training activity

8. Evaluation criteria and Grading System
  Grading System  
Evaluation System Face-to-Face Self-Study Student Description
Theoretical papers assessment 20.00% 0.00% Team work on dynamization and / or multi-equation model. Attention will be paid not only to the content, but to the correct use of scientific forms and oral presentation.
Assessment of problem solving and/or case studies 10.00% 0.00% Individual work. Participation and positive result of the practical sessions, seminars, tutorials, ... It requires a minimum of participation (face-to-face and not face-to-face via the Moodle platform)
Progress Tests 10.00% 0.00% A progress test similar to the final test will be made.
Final test 60.00% 0.00% Final objective test divided into two blocks: theoretical and practical that must be overcome.
Total: 100.00% 0.00%  

Evaluation criteria for the final exam:
The evaluation is based on a continuous system in which the effort and progress of the student in the development of a series of competences is valued.
The progress tests will be made through questions and practical exercises that will be carried out at the mid-end of the semester.
Individual work through cases for delivery according to the established legal calendar. The participation and positive result of the practical sessions, seminars, tutorials will be valued.
Group work: in the evaluation of this work attention will be paid not only to the content, but to the correct use of scientific forms and oral presentation.

Final test, through the development of two blocks: theoretical questions and practical exercises that will be held on the day set for the final exam. To make the average, in the final exam it is necessary to obtain a minimum score of 4 points out of 10 in one of the parts and five in average.
Specifications for the resit/retake exam:
Must have delivered the Group Work (theoretical work) and made the presentation of it.
Specifications for the second resit / retake exam:
Must have delivered the Group Work (theoretical work) and made the presentation of it.
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours
Project or Topic Presentations [PRESENCIAL][Combination of methods] 1
On-line Activities [AUTÓNOMA][Self-study] 6
Group tutoring sessions [PRESENCIAL][Guided or supervised work] 1
Final test [PRESENCIAL][Assessment tests] 2

Unit 1 (de 4): GENERALIZED LINEAR MODEL
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 8
Class Attendance (practical) [PRESENCIAL][Cooperative / Collaborative Learning] 3.75
Class Attendance (theory) [PRESENCIAL][Combination of methods] 1.25
Writing of reports or projects [AUTÓNOMA][Group Work] 8
Writing of reports or projects [AUTÓNOMA][Case Studies] 3
On-line debates and forums [AUTÓNOMA][Combination of methods] 1
Study and Exam Preparation [AUTÓNOMA][Combination of methods] 12
Group 10:
Initial date: 27-01-2020 End date: 01-03-2020
Group 17:
Initial date: 27-01-2020 End date: 01-03-2020

Unit 2 (de 4): DYNAMIC MODELS
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 9
Class Attendance (practical) [PRESENCIAL][Cooperative / Collaborative Learning] 6
Class Attendance (theory) [PRESENCIAL][Combination of methods] 1
Writing of reports or projects [AUTÓNOMA][Group Work] 12
Writing of reports or projects [AUTÓNOMA][Case Studies] 7
On-line debates and forums [AUTÓNOMA][Combination of methods] 2
Study and Exam Preparation [AUTÓNOMA][Combination of methods] 14
Group 10:
Initial date: 02-03-2020 End date: 05-04-2020
Group 17:
Initial date: 02-03-2020 End date: 05-04-2020

Unit 3 (de 4): MULTI EQUATION MODELS
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 6
Class Attendance (practical) [PRESENCIAL][Cooperative / Collaborative Learning] 5
Class Attendance (theory) [PRESENCIAL][Combination of methods] 1
Writing of reports or projects [AUTÓNOMA][Group Work] 7
Writing of reports or projects [AUTÓNOMA][Case Studies] 4
On-line debates and forums [AUTÓNOMA][Combination of methods] 2
Study and Exam Preparation [AUTÓNOMA][Combination of methods] 8
Group 10:
Initial date: 06-04-2020 End date: 03-05-2020
Group 17:
Initial date: 06-04-2020 End date: 03-05-2020

Unit 4 (de 4): SPECIFIC TOPICS
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 7
Class Attendance (practical) [PRESENCIAL][Cooperative / Collaborative Learning] 2
Writing of reports or projects [AUTÓNOMA][Group Work] 3
On-line debates and forums [AUTÓNOMA][Combination of methods] 1
Study and Exam Preparation [AUTÓNOMA][Combination of methods] 6
Group 10:
Initial date: 04-05-2020 End date: 17-05-2020
Group 17:
Initial date: 04-05-2020 End date: 17-05-2020

Global activity
Activities hours
Class Attendance (theory) [PRESENCIAL][Lectures] 30
Class Attendance (practical) [PRESENCIAL][Cooperative / Collaborative Learning] 16.75
Class Attendance (theory) [PRESENCIAL][Combination of methods] 3.25
Writing of reports or projects [AUTÓNOMA][Group Work] 30
Writing of reports or projects [AUTÓNOMA][Case Studies] 14
Project or Topic Presentations [PRESENCIAL][Combination of methods] 1
On-line Activities [AUTÓNOMA][Self-study] 6
On-line debates and forums [AUTÓNOMA][Combination of methods] 6
Study and Exam Preparation [AUTÓNOMA][Combination of methods] 40
Group tutoring sessions [PRESENCIAL][Guided or supervised work] 1
Final test [PRESENCIAL][Assessment tests] 2
Total horas: 150
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
Baltagi, Badi H. (Badi Hani) A Companion to econometric analysis of panel data John Wiley & Sons 978-0-470-74403-1 2009 Ficha de la biblioteca
Calderón Milán, López Ruiz y Tarancón Morán Prácticas de econometría Popular Libros 84-931937-1-3 2001 Ficha de la biblioteca
Granger, Clive William John (1934-) Essays in econometrics : collected papers of Clive W.J. Gran Cambridge University Press 0-521-79697-0 (Pbk. 2001 Ficha de la biblioteca
Greene, William H. (1951-) Econometric analysis Prentice Hall 978-0-13-513245-6 2008 Ficha de la biblioteca
Gujarati, Damodar N. Econometría McGraw-Hill Interamericana 970-10-3971-8 2004 Ficha de la biblioteca
Maddala, G. S. Econometría McGraw-Hill 9684516754 1988 Ficha de la biblioteca
Pulido San Román, Antonio Modelos econométricos Pirámide 84-368-1534-3 2001 Ficha de la biblioteca
Pérez López, César Econometría avanzada : técnicas y herramientas Pearson Educacion 978-84-8322-479-3 2008 Ficha de la biblioteca



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