Teaching plan for the course unit

 

 

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General information

 

Course unit name: Econometrics III

Course unit code: 361844

Academic year: 2025-2026

Coordinator: Josep Lluis Carrion Silvestre

Department: Department of Econometrics, Statistics and Applied Economics

Credits: 6

Single program: S

 

 

Estimated learning time

Total number of hours 150

 

Face-to-face and/or online activities

60

 

-  Lecture with practical component

Face-to-face

 

45

 

-  Problem-solving class

Face-to-face

 

15

Supervised project

40

Independent learning

50

 

 

Recommendations

 

Econometrics III relates closely to the content covered in the subjects Economic and Business Statistics I, Economic and Business Statistics II, Econometrics I and Econometrics II, and should be understood as a natural continuation of these subjects. The course is intended to be a natural step to the study of new modelling strategies, which are covered in the master’s degree’s subjects Microeconometrics and Macroeconometrics.

The general content and teaching methods of the overall degree course are conducive to inter-disciplinary study covering aspects of subjects outside the specific field of quantitative techniques for economic statistics and econometrics. The examples, arguments and exercises worked on throughout the course therefore make use of concepts covered in other subjects, including Macroeconomics I, II, III and IV; Microeconomics I, II, III and IV; Mathematics I and II, and Public Treasury.

 

 

Competences / Learning outcomes to be gained during study

 

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Commitment to ethical practice (critical and self-critical capabilities/capacity to demonstrate attitudes consistent with accepted notions of ethical practice).

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Capacity to gather and interpret data that will form the basis of documented reports and reasoned conclusions about scientific problems or problems in other areas requiring the use of mathematical tools.

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To use ICT in professional work. - To gain knowledge of and apply information and communication technology tools in professional work.

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Ability to use physical and electronic bibliographical resources.

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Ability to apply the knowledge acquired and analytical skills for solving academic and professional problems.

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To draw up, analyse and interpret financial information. This competence involves the following: - To obtain, process and analyse data that lead to the presentation of internal and external financial information for public and private entities. - To be able to interpret a financial report for a financial entity. - To know how to correctly interpret graphs, financial indicators and their corresponding representations, and to issue written and oral reports. - To be able to interpret, analyse and carry out financial and investment operations.

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To know about and appreciate the nature, sources and uses of financial information, as well as the appropriate IT resources to process and analyse it. This competence involves the following: - To have specific knowledge of and the ability to select and apply appropriate quantitative and qualitative methods to organize and analyse socioeconomic databases. - To be able to apply different methods and econometric models to databases. To conceptualize and link these databases.

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To develop a critical ability to analyse economic theories and models. This competence involves the following: - To critically analyse and assess the economic behaviour of individuals and the way they make decisions. - To analyse the aggregate behaviour in an economy and its implications. - To empirically compare the suitability of theoretical models for a specific economic area.

Learning objectives

 

Referring to knowledge

Students should acquire the ability to develop professional tasks that are primarily focused not on the extensive use of econometric tools but rather on issues related to the theoretical and applied aspects of economics, either from a global, individual or sector perspective, and regarding domestic as well as international markets. That said, the ability to use econometrics as a method of research in the social sciences and, specifically, in economics, is essential.

The aim, therefore, is not to become an expert in econometrics but to gain an understanding of the philosophy behind econometric methodology, the main concepts involved, and the applications of econometric techniques that may be useful in the future and enable students to work with economics experts. As such, for students of economics, econometrics should be considered an instrument that facilitates efficient economic analysis.

The learning objectives of this course include mastery of basic econometric methods and techniques, as well as the associated vocabulary and underlying concepts; the ability to identify problems to which econometric processes could be applied and to apply them properly; the capacity to incorporate the results of econometric analysis into decision-making processes; the ability to perceive the relevance of econometric analysis as a tool applicable to the study of economics, and the capacity to collaborate with econometrics professionals as and when required. In short, future graduates in Economics acquire a general understanding of the concepts of econometrics and its possibilities, and, thus, the ability to recognise when a problem can be solved econometrically and the knowledge of quantitative methods required to do so.

Therefore, the course programme for Econometrics III represents a step further from two earlier compulsory subjects (Econometrics I and Econometrics II) and focuses on the analysis of time series and dynamic models.

 

 

Teaching blocks

 

Univariate time series analysis

Unit 1. Univariate time series models; basic concepts

Unit 2. Univariate time series models; linear models and Box-Jenkins methodology

Unit 3. Dynamic models

Unsteady-state models

Unit 4. Non-stationary random variables: integrability analysis

Unit 5. Cointegration

 

 

Teaching methods and general organization

 

Since the learning objectives require a considerable amount of practical work, the general teaching methodology involves a combination of theoretical concepts and specific focus on their practical applicability. Therefore, the following activities are undertaken:

— Face-to-face learning activities: these are carried out in the classroom with the lecturer. These include theoretical activities and theoretical activities with a practical component (with the whole group), as well as problem-solving sessions. The total number of hours for these activities is 60. To facilitate these activities, students have access to the slides used by the lecturers to explain each topic via Virtual Campus before the sessions.

— Independent learning activities: they include problem-solving activities and computer sessions, as well as self-reflection on the knowledge and competences acquired. Specifically, the practical exercises consist of responding correctly to a series of questions based on real economic data. These involve the use of an econometric program and, with the program’s calculations and the results obtained, the application of theoretical knowledge gained throughout the course. The total number of hours devoted to these activities is 50.

— Tutored/directed activities: they consist of discussion of problems to clarify doubts and the monitoring of independent work from students. The total number of hours devoted to these activities is 40. 

As a result of the project to promote teaching quality that is being implemented in the Faculty of Economics and Business (promoted by the Research, Innovation and Teaching and Learning Improvement [RIMDA] unit and the Office of the Vice-Rector for Teaching and Academic Planning), the teaching methodology for some subject groups may differ slightly from that described above. The details of this methodology will be published in the Virtual Campus at the start of the course.

Once the theoretical and practical contents of the subject have been acquired, the problem-solving activities, independent work and tutored activities contribute to achieving the competences to elaborate, analyse and interpret economic information, to critically analyse theories and economic models, to know sources and the uses of economic information, and to know how to use adequate computer resources for data treatment and analysis. In addition, independent learning develops the students’ capacity to use ICTs for professional development.

 

 

Official assessment of learning outcomes

 

To achieve a pass grade for the course, students must demonstrate that they have achieved the learning objectives, according to the following criteria.

Continuous assessment consists of two parts:

a) Continuous assessment activities. There are two options for continuous assessment for this subject, which are mutually exclusive.

a.1) Continuous assessment based on multiple-choice tests.There will be a total of four activities, which are worth a combined total of 40% of the final grade. These continuous assessment tests must be completed in person during class hours, in the assigned classrooms and on the dates scheduled.

a.2) Continuous assessment can be fulfilled through the completion of a group project, following guidelines provided by the teacher. Groups comprise 2-4 students, who must work in coordination with the teacher and produce a written paper to be submitted on completion of the project. Project details are published on the Virtual Campus at the beginning of the course.The project is worth 40% of the final grade.

b) Final examination. This examination contains short-answer questions with a limited space for answers, on theoretical and practical aspects of the subject. Students should show that they have acquired knowledge and skills during the course and that they have perfected them. The examination is held on the official date set by the Academic Council. It is worth the remaining 60% of the final grade. The examination is to be completed face-to-face.

All of the assessed activities completed during the course (continuous assessment activities and final examination) are marked on a scale of 0 to 10. The percentage weightings shown above are then applied to obtain the final grade for the subject.

Students pass the subject if they achieve a weighted final grade of at least 5 out of 10, The mark for the final examination must be 3.5 or above out of 10 to be eligible for continuous assessment. Otherwise, the final grade for the subject is that of the final examination.

Repeat assessment consists of a final examination similar to the single assessment one. The dates for repeat assessment are set out in the Faculty’s academic calendar. The date for repeat assessment examinations is established by the Academic Council. The examination is to be completed face-to-face.

In case methodological changes affect the assessment system established for the subject, the details will be announced at the start of the academic year to the groups that are involved in the project.

 

Examination-based assessment

Students who are unable to meet the requirements for continuous assessment are entitled to single assessment.

To pass the subject, students must show a sufficient degree of accomplishment of the established course objectives in a single final examination, which is worth 100% of the final grade. The examination consists of short-answer questions with limited space for answers, on theoretical and practical aspects of the subject. The examination is held on the official assessment date set by the Academic Council and assesses the student’s acquisition of the concepts and skills described in the teaching plan. The examination is to be completed face-to-face.

To pass the subject under this assessment option, students must:

a) Submit a written request (and keep a copy of it) to withdraw from continuous assessment, before the deadline set by the Academic Council.

b) Obtain a mark of at least 5 out of 10 for the examination.

Repeat assessment

Repeat assessment consists of a final examination similar to the single assessment one, The dates for repeat assessment are set out in the Faculty’s academic calendar. The date for repeat assessment examinations is established by the Academic Council. The examination is to be completed face-to-face.

 

 

Reading and study resources

Check availability in Cercabib

Book

AZNAR, A; TRÍVEZ, J. Métodos de predicción en economía. Barcelona : Ariel, 1993

Catāleg UB  Enllaç

NOVALES, A. Econometría. 2a ed. Madrid : McGraw-Hill, 1993

Catāleg UB   Enllaç

SURIÑACH, J. [et al.]. Análisis económico regional : nociones básicas de la teoría de la cointegración. Barcelona : Fundació Bosch i Gimpera : Antoni Bosch, 1995

Catāleg UB  Enllaç

STOCK, JH; WATSON, MW. Introduction to econometrics. 3rd edition. Harlow : Pearson Education, 2015

Catāleg UB  Enllaç
Catāleg UB. Versiķ en castellā (2012)  Enllaç
Versiķ en línia (4a ed., 2020)  Enllaç

WOOLDRIDGE, J. Introducción a la econometría: un enfoque moderno. 4a ed. México, DF : Cengage Learning, 2010

Catāleg UB  Enllaç

WOOLDRIDGE, J. Introductory econometrics: a modern approach. Seventh edition. Boston, MA : Cengage, 2018.

Catāleg UB  Enllaç

GREENE, W. H. Econometric analysis. Pearson Education, 7th international ed, 2012

Catāleg UB  Enllaç