Guías Docentes Electrónicas
1. General information
Course:
APPLIED ECONOMETRICS
Code:
53342
Type:
ELECTIVE
ECTS credits:
4.5
Degree:
316 - UNDERGRADUATE DEGREE IN ECONOMICS
Academic year:
2020-21
Center:
5 - FACULTY OF ECONOMICS AND BUSINESS
Group(s):
10 
Year:
4
Duration:
First quarter
Main language:
Spanish
Second language:
English
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer: VICTOR RAUL LOPEZ RUIZ - Group(s): 10 
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
Professor Blog

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 Applied Econometrics is part of the fourth year of the Degree in Economics, within the module of analytical foundations and quantitative methods, is taught in the first semester after having taken the subjects of the discipline of Econometrics, in third year.

It is an instrumental basic subject in Applied Economics.

As for its relationship with other subjects, it is a complementary support for other Econometrics subjects such as Introduction to Econometrics and / or Econometric Methods and Models. It is closely linked to subjects of the same level of Economic Theory or Spanish and International Economics.

In the profession of economist is framed within the applied or quantitative disciplines that will provide implementing tools and modeling for comprehensive economic analysis in local, national and international spaces, as well as its link to information and communication technologies.

4. Degree competences achieved in this course
Course competences
Code Description
E03 Ability to find economic data and select relevant facts.
E04 Analytical skills to identify and anticipate relevant economic and legal issues and the different alternative solutions.
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.
E11 Diagnosis and assessment skills to conduct structural and cyclical reports, as well as economic forecast summaries on the reality of the economy in Spain, the European Union and in any of the product sectors and factor markets. To do so, it will be necessary to understand and use common handbooks, as well as articles and, in general, leading edge bibliography in the core subjects of the curriculum.
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
Be able to identify analytical models and techniques of the economic, legal and social environment and their historical development
Train the student to listen to and defend arguments orally or in writing
Train the student to work out problems in creative and innovative ways.
Know the models of econometric systems as a set of processes, where variables, mathematical relationships, decision makers, financial resources, etc .; related in a permanent communication of information.
Additional outcomes
Description
Train the student for the treatment of statistical information systems (data Banks and sources) with the fundamental objective of both cyclical and structural forecasting.
Train the student to apply quantitative methods to support decision-making in an environment of uncertainty.
6. Units / Contents
  • Unit 1: Modeling applied
    • Unit 1.1: Design of Multi-equation Models
    • Unit 1.2: Tools: Information Systems
    • Unit 1.3: Structural Equations
  • Unit 2: Regional Models
    • Unit 2.1: Approaches
    • Unit 2.2: Uni and multi-regional Models
    • Unit 2.3: Castilla La Mancha Region Model
  • Unit 3: National Model
    • Unit 3.1: Approaches
    • Unit 3.2: International and national models
  • Unit 4: Sectoral Models
    • Unit 4.1: Approaches
    • Unit 4.2: Panel Data Models
    • Unit 4.3: Management Information Systems: simulation
7. Activities, Units/Modules and Methodology

All training activities will be recoverable, in other words, there must be an alternative evaluation test that allows to reassess the acquisition of the same skills in the ordinary, extraordinary and special call for completion. If exceptionally, the evaluation of any of the training activities cannot be recovered, it must be specified in the description and be expressly authorized by the department.

Training Activity Methodology Related Competences ECTS Hours As Com Description
Class Attendance (theory) [ON-SITE] Lectures E04 E05 E06 G01 G04 0.9 22.5 Y N
Class Attendance (practical) [ON-SITE] Cooperative / Collaborative Learning E03 E06 G01 G03 G04 0.44 11 Y N
Computer room practice [ON-SITE] Project/Problem Based Learning (PBL) E03 E06 G01 G04 0.16 4 Y N
Writing of reports or projects [OFF-SITE] Group Work E03 E04 E05 E06 E11 G01 G03 G04 G05 1.2 30 Y N
Writing of reports or projects [OFF-SITE] Case Studies E04 E05 E06 E11 G01 G05 0.88 22 Y N
Study and Exam Preparation [OFF-SITE] Combination of methods E03 E04 E05 E06 E11 G01 G03 0.88 22 Y N
Final test [ON-SITE] Assessment tests E04 E06 E11 G01 G03 0.04 1 Y Y
Total: 4.5 112.5
Total credits of in-class work: 1.54 Total class time hours: 38.5
Total credits of out of class work: 2.96 Total hours of out of class work: 74

As: Assessable training activity
Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).

8. Evaluation criteria and Grading System
Evaluation System Continuous assessment Non-continuous evaluation * Description
Theoretical papers assessment 30.00% 0.00% Attention will be paid not only to the contents, but also to the correct use of the scientific forms and to the oral presentation that will be obligatory.
Self Evaluation and Co-evaluation 10.00% 0.00% Oral presentation of group work.
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 Moodle platform) and realization of the cases raised.
Final test 50.00% 100.00% Final objective test divided into two blocks: theoretical and practical that have to be balanced out.
Total: 100.00% 100.00%  
According to art. 6 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 13.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).

Evaluation criteria for the final exam:
  • Continuous assessment:
    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.
    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: simple theoretical questions and practical exercises.
  • Non-continuous evaluation:
    A specific exercise of each module of the syllabus will be applied for the evaluation of the student, in a single test with the possibility of reaching 100% of the final grade.

Specifications for the resit/retake exam:
Must have delivered the group work (theoretical work) and made the exhibition of them.
Specifications for the second resit / retake exam:
Must have delivered the group work (theoretical work) and made the exhibition of them.
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours
Writing of reports or projects [AUTÓNOMA][Group Work] 5
Final test [PRESENCIAL][Assessment tests] 1

Unit 1 (de 4): Modeling applied
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 5
Class Attendance (practical) [PRESENCIAL][Cooperative / Collaborative Learning] 2
Computer room practice [PRESENCIAL][Project/Problem Based Learning (PBL)] 2
Writing of reports or projects [AUTÓNOMA][Group Work] 10
Writing of reports or projects [AUTÓNOMA][Case Studies] 6
Study and Exam Preparation [AUTÓNOMA][Combination of methods] 6
Group 10:
Initial date: 21-09-2020 End date: 11-10-2020

Unit 2 (de 4): Regional Models
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 5
Class Attendance (practical) [PRESENCIAL][Cooperative / Collaborative Learning] 3
Computer room practice [PRESENCIAL][Project/Problem Based Learning (PBL)] 1
Writing of reports or projects [AUTÓNOMA][Group Work] 5
Writing of reports or projects [AUTÓNOMA][Case Studies] 6
Study and Exam Preparation [AUTÓNOMA][Combination of methods] 5
Group 10:
Initial date: 12-10-2020 End date: 01-11-2020

Unit 3 (de 4): National Model
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 4
Class Attendance (practical) [PRESENCIAL][Cooperative / Collaborative Learning] 2
Computer room practice [PRESENCIAL][Project/Problem Based Learning (PBL)] 1
Writing of reports or projects [AUTÓNOMA][Group Work] 5
Writing of reports or projects [AUTÓNOMA][Case Studies] 6
Study and Exam Preparation [AUTÓNOMA][Combination of methods] 4
Group 10:
Initial date: 02-11-2020 End date: 22-11-2020

Unit 4 (de 4): Sectoral Models
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 8.5
Class Attendance (practical) [PRESENCIAL][Cooperative / Collaborative Learning] 4
Writing of reports or projects [AUTÓNOMA][Group Work] 5
Writing of reports or projects [AUTÓNOMA][Case Studies] 4
Study and Exam Preparation [AUTÓNOMA][Combination of methods] 7
Group 10:
Initial date: 23-11-2020 End date: 22-12-2020

Global activity
Activities hours
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
 
 
Ba;os, Lopez, Nevado, y Sanz Estrategias de desarrollo local para los municipios de Casti Popular Libros 84-93424-12-9 2005 Ficha de la 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
Batista Foguet, J. M. y Coenders Gallart, G. Modelos de ecuaciones estructurales: (modelos para el análisis de relaciones causales) Madrid La Muralla 978-84-7133-694-1 2012 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
Nevado Peña, Domingo y Lopez Ruiz, Victor El capital intelectual : valoración y medición : modelos, Prentice Hall Iberia 84-205-3067-0 2002 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
Victor Raúl López Ruiz et al Economía del conocimiento en las ciudades de Castilla La Mancha Albacete altaban 9788415252283 2016  



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