## Syllabus 2022-23 - 11112014 - Econometrics (Econometría)

Caption
• Level 1: Tutorial support sessions, materials and exams in this language
• Level 2: Tutorial support sessions, materials, exams and seminars in this language
• Level 3: Tutorial support sessions, materials, exams, seminars and regular lectures in this language
 DEGREE: Grado en Administración y dirección de empresas (11112014) FACULTY: FACULTY OF LAW AND SOCIAL SCIENCES DEGREE: Doble Grado en Administración y dirección de empresas y Finanzas y contabil (11912017) FACULTY: FACULTY OF LAW AND SOCIAL SCIENCES DEGREE: Grado en Administración y dirección de empresas (11122014) FACULTY: FACULTY OF LAW AND SOCIAL SCIENCES ACADEMIC YEAR: 2022-23 COURSE: Econometrics
SYLLABUS
1. COURSE BASIC INFORMATION
 NAME: Econometrics CODE: 11112014 (*) ACADEMIC YEAR: 2022-23 LANGUAGE: English LEVEL: 3 ECTS CREDITS: 6.0 YEAR: 3 SEMESTER: PC
2. LECTURER BASIC INFORMATION
 NAME: OLMO JIMÉNEZ, MARÍA JOSÉ DEPARTMENT: U112 - ESTADISTICA E INVESTIGACIÓN OPERATIVA FIELD OF STUDY: 265 - ESTADÍSTICA E INVESTIGACIÓN OPERATIVA OFFICE NO.: B3 - 056 E-MAIL: mjolmo@ujaen.es P: 953211909 WEBSITE: - ORCID: https://orcid.org/0000-0003-3527-3239 LANGUAGE: - LEVEL: 3
3. CONTENT DESCRIPTION

1. Introduction to econometric models

• Definition of Econometrics
• The econometric method
• Econometric models

2. The multiple linear regression model

• Model especification
• Ordinary least squares (OLS) estimation
• Properties of the OLS estimators
• Goodness of fit
• Confidence intervals
• Hypothesis testing
• Prediction

3. Extensions of the MLR model

• Extensions to non-linear models
• Regression with dummy variables

4. Model selection

• Specification errors
• Model construction

5. Non-spherical errors

• Generalized least squares (GLS) estimation. Properties
• Confidence intervals and hypothesis testing
• Normality and residual analysis

6. Heteroskedasticity

• Nature of the problem.  Causes and consequences of heteroskedasticity
• Heteroskedasticity detection
• Heteroskedasticity correction

7. Autocorrelation

• Nature of the problem. Causes and consequencies of autocorrelation
• Autocorrelation detection
• Autocorrelacion correction

8. Multicollinearity

• Nature of the problem
• Multicollinearity detection
• Multicollinearity correction

4. COURSE DESCRIPTION AND TEACHING METHODOLOGY

Teaching sessions are structured in:

• Theoretical sessions , where learning contents will be developed and illustrative examples will be shown using slides, the blackboard and an econometric software.
• Practical sessions , to solve exercises by an econometric software.

The subject materials will be provided online through the virtual teaching platform. It is important that the students have and read the material of each chapter before the classes.

Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support

5. ASSESSMENT METHODOLOGY

The assessment methodology consists of:

• A compulsory final exam  composed by several exercises which may be solved using the econometric software explained in the practical sessions (60%). This exam allows for assessing the acquired ability with the statistical software, the selection of the appropriate method and the accurate interpretation of results.

• A continuous evaluation of the theorerical contents  by the use of multiple-choice tests (10%). They are useful to assess the comprehension level on basic concepts. Optionally, there will be a global multiple-choice theoretical test in the final examination for those students that do not pass this continuous assessment task.

• A continuous evaluation of the practical sessions  in which the proposed exercises will be solved by an econometric software (30%). These tests are compulsory. Since there is no final exam for the practical sessions, this mark will be saved for the extraordinary call (if necessary).

It is mandatory to obtain at least a 3.5/10 in the final exam to compute the combined mark.

The students that do not take the compulsory tests of the practical sessions renounce 30% of the final mark for all the calls.

Only the material authorised by the teachers may be used in the final exam.

6. BOOKLIST
MAIN BOOKLIST:
• Introductory econometrics : a modern approach Jeffrey M. Wooldridge. Edition: 6th ed.. Author: Wooldridge, Jeffrey M.. Publisher: Cengage Learning  (Library)
• Econometrics for dummies [electronic resource] Roberto Pedace.. Edition: -. Author: Pedace, Roberto.. Publisher: John Wiley & Sons  (Library)
• Econometrics [electronic resource] by Badi H. Baltagi.. Edition: 5th ed.. Author: Baltagi, Badi H. author.. Publisher: Springer Berlin Heidelberg  (Library)
• Econometric analysis William H. Greene. Edition: 6th ed. Author: Greene, William H.. Publisher: Pearson Prentice Hall,  (Library)
• Basic Econometrics. Edition: 5th ed.. Author: Damodar Gujarati and Dawn Porter. Publisher: McGraw-Hill Publishing Co.  (Library)
• guide to modern econometrics Marno Verbeek. Edition: 3rd.ed. Author: Verbeek, Marno. Publisher: John Wiley and Sons  (Library)
• Introduction to linear regression analysis Douglas C. Montgomery, Elizabeth A. Peck. Edition: 3rd ed. Author: Montgomery, Douglas C.. Publisher: John Wiley & Sons  (Library)
• Introduction to linear regression analysis : student solutions manual to Accompany Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining. Edition: 4th ed. Author: Montgomery, Douglas C.. Publisher: Wiley-Interscience  (Library)
• Econometrics for dummies [electronic resource] Roberto Pedace.. Edition: -. Author: Pedace, Roberto.. Publisher: John Wiley & Sons  (Library)
7. VIRTUAL / CLASSROOM TEACHING SCENARIO

1. TEACHING METHODOLOGY AND FORMATIVE ACTIVITIES

 Formative activities Format Teaching methodology: Description 11 computer sessions Face-to-face (25%-50%) Computer guided sessions will be devoted to practical computing exercises. If possible, these sessions of 50 minutes will be hold with 25%-50% each for computer room and videoconference, rotating the group of students in the computer room periodically. Otherwise, an online format will be applied to all students. 40 sessions about the contents of the subject Face-to-face (25%-50%) Participatory masterclass sessions where the contents of the subject and the corresponding examples will be exposed. If possible, these sessions of 50 minutes will be hold with 25%-50% each for classroom and videoconference, rotating the group of students in the classroom periodically. Otherwise, an online format will be applied to all students. 5 sessions to solve questions about the proposed list of exercises Face-to-face (25%-50%) In groups, students will have to solve and explain a selected exercise of each list of exercises proposed throughout the course. If possible, these sessions of 50 minutes will be hold with 25%-50% each for classroom and videoconference, rotating the group of students in the classroom periodically. Otherwise, an online format will be applied to all students. Tutorial sessions Face-to-face + Online Tutorial sessions will be carried out in both face-to-face and online formats. Online tutorial sessions may be synchronous or asynchronous. Students will be encouraged to use this sessions, not only to ask questions but for the instructor to check their progress.

If the room capacity is not exceded, all the sessions will be face-to-face at 100%, without rotating the group of students.

2. ASSESSMENT METHODOLOGY

Ordinary call

 Assessment tasks Format Description Percentage Written test (*) Face-to-face Composed by several practical exercises, which allow for assessing if students have acquired the theoretical and practical knowledge of the subject. It will take place in the official date. 60% Continuous assessment of the computer sessions Face-to-face 4 compulsory tests of the practical sessions throughout the course, in which students show their knowledge about the econometric software, the selection of the appropriate technique and the accurate interpretation of results. 30% Continuous assessment of the theoretical sessions Synchronous online Composed by multiple-choice theoretical questions throughout the course, in which students show their knowledge about the basic concepts of the subject. 10%

(*) It is necessary to obtain at least a 3.5/10 in the final exam to compute the combined mark.

A student will be marked as NO PRESENTADO (no mark) if they do not take the final exam.

The students who do not take the compulsory tests of the computer sessions renounce 30% of the final mark for all the calls.

Extraordinary call

The assessment criteria will be the same as in the ordinary call, except for those students who could not follow the continuous assessment tasks during the course for duly justified cause (in that case, the final exam will have a weight of 70% and it will consist of practical exercises and theoretical multiple-choice questions).

3. RESOURCES

The online videoconference system GSuite Meet will be used for face-to-face teaching in the same official weekdays and times established in the official timetables.

The adaptation to online teaching implies the use of synchronous and asynchronous activities with the support offered at the Intranet site Docencia Virtual (chat room, virtual room...).

The e-mail will be also a good communication tool.

The practical sessions will be developed using the free open-source econometric software Gretl

The students must have microphone and camera in their computer or, otherwise, use their mobile phones.

Students may consult the electronic resources included in Section 6. BOOKLIST of the general course syllabus.

8. VIRTUAL TEACHING SCENARIO

1. TEACHING METHODOLOGY AND FORMATIVE ACTIVITIES

 Formative activities Format Teaching methodology: Description 11 computer sessions Online Synchronous/Asynchronous computer sessions by videoconference. Each session will last 50 minutes. Free open-source econometric software will be used. 40 sessions about the contents of the subject Online Synchronous/Asynchronous masterclass sessions of 50 minutes where the contents of the subject and the corresponding examples will be exposed. 5 sessions to solve questions about the proposed list of exercises Online Synchronous sessions by videoconference where each group of students will have to explain the solution of the selected exercise. Next, a discussion will take place. Tutorial sessions Online All tutorial sessions will be online (in synchronous or asynchronous way).

2. ASSESSMENT METHODOLOGY

Ordinary call

 Assessment tasks Format Description Percentage Written test (*) Synchronous online Composed by several practical exercises, which allow for assessing if students have acquired the theoretical and practical knowledge of the subject. It will take place in the official date. 60% Continuous assessment of the computer sessions Synchronous online 4 compulsory tests of the computer sessions throughout the course, in which students show their knowledge about the econometric software, the selection of the appropriate technique and the accurate interpretation of results. 30% Continuous assessment of the theoretical sessions Synchronous online Composed by multiple-choice theoretical questions throughout the course, in which students show their knowledge about the basic concepts of the subject. 10%

(*) It is necessary to obtain at least a 3.5/10 in the final exam to compute the combined mark.

A student will be marked as NO PRESENTADO (no mark) if they do not take the final exam.

The students who do not take the compulsory tests of the computer sessions renounce 30% of the final mark for all the calls.

Extraordinary call

The assessment criteria will be the same as in the ordinary call, except for those students who could not follow the continuous assessment tasks during the course for duly justified cause (in that case, the final exam will have a weight of 70% and it will consist of practical exercises and theoretical multiple-choice questions).

3. RESOURCES

The online videoconference system GSuite Meet will substitute face-to-face interaction in the same official weekdays and times established in the official timetables.

The adaptation to online teaching implies the use of synchronous and asynchronous activities with the support offered at the Intranet site Docencia Virtual (chat room, virtual room...).

The e-mail will be also a good communication tool.

The practical sessions will be developed using the free open-source econometric software Gretl.

The students must have microphone and camera in their computer or, otherwise, use their mobile phones.

Students may consult the electronic resources included in Section 6. BOOKLIST of the general course syllabus.

DATA PROTECTION CLAUSE (on line exams)

Institution in charge of data processing: Universidad de Jaén, Campus Las Lagunillas, s/n, 23071 Jaén

Data Protection Delegate: dpo@ujaen.es

Purpose: In accordance with the Universities Law and other national and regional regulations in force, carrying out exams and assessment tests corresponding to the courses students are registered in. In order to avoid frauds while sitting the exam, the exam will be answered using a videoconference system, being able the academic staff of the University of Jaén to compare and contrast the image of the person who is answering the exam with the student's photographic files. Likewise, in order to provide the exam with evidential content for revisions or claims, in accordance with current regulation frameworks, the exam will be recorded and stored.

Legitimacy: compliance with legal obligations (Universities Law) and other national and regional regulations currently in force.

Addressees: service providers who are the owners of the platforms where the exams are carried out and with whom the University of Jaén has signed the corresponding data access contracts.

Storage periods: those established in current in force regulations. In the specific case of exam videoconference recordings, not before the examination records and transcripts are closed or the exam can still be reviewed or challenged.

Rights: you can exercise your right of access, amendment, cancellation, opposition, suppression, limitation and portability by sending a letter to the postal or electronic address indicated above. In the event that you consider that your rights have been violated, you may submit a complaint to the Andalusian Council for Transparency and Data Protection www.ctpdandalucia.es

CLASS RECORDING CLAUSE PERSONAL DATA PROTECTION

Person in charge: Universidad de Jaén, Paraje Las Lagunillas, s/n; Tel.953 212121; www.ujaen.es

Data protection delegate (DPO): TELEFÓNICA, S.A.U. ; Email: dpo@ujaen.es

Procedure aim: To manage proper recordings of teaching sessions with the aim of facilitating learning process under a multimodal and/or online teaching

Period for record storage: Images will be kept during legal term according to regulations in force

Legitimacy: Data will be managed according to legal regulations (Organic Law 6/2001, December 21, on Universities) and given consent provided by selecting corresponding box in legal admission documents

Data recipients (transfers or assignments): Any person allowed to get access to every teaching modality

Rights: You may exercise your rights of access, rectification, cancellation, portability, limitation of processing, deletion or, where appropriate, opposition. To exercise these rights, you must submit a written request to the Information, Registration and Electronic Administration Service of the University of Jaen at the address above, or by e-mail to the address above. You must specify which of these rights you are requesting to be satisfied and, at the same time, you must attach a photocopy of your ID card or equivalent identification document. In case you act through a representative, legal or voluntary, you must also provide a document that proves this representation and identification. Likewise, if you consider that your right to personal data protection has been violated, you may file a complaint with the Andalusian Data Protection and Transparency Council www.ctpdandalucia.es