Identifying Data 2020/21
Subject (*) Advanced Econometrics Code 611532027
Study programme
Máster Universitario en Economía
Descriptors Cycle Period Year Type Credits
Official Master's Degree 2nd four-month period
 First Optional 3
Language
Spanish
Teaching method Face-to-face
Prerequisites
Department Economía
Coordinador
Iglesias Vazquez, Emma Maria
 E-mail
emma.iglesias@udc.es
Lecturers
Iglesias Vazquez, Emma Maria
 E-mail
emma.iglesias@udc.es
Web
General description O obxectivo desta materia é dobre. Por unha banda, trátase de que os alumnos coñezan as técnicas e procedementos estatísticos e econométricos especialmente adecuados para resolver problemas reais que se expoñen no ámbito da economía. En segundo lugar, que comprendan as propiedades estatísticas destas técnicas e procedementos para saber cando e como poden aplicalos.
Contingency plan 1. Cambios de contido
Non hai modificacións.
2. Metodoloxías
* Metodoloxías de ensino que se manteñen
Durante o período de semi-presencialidade (ou non-presencialidade), parte (ou todas) as metodoloxías realízanse mediante ferramentas telemáticas.
* Metodoloxías de ensino que se modifican
Durante o período semi-presencial (ou non-presencial), parte (ou todas) as metodoloxías realízanse mediante ferramentas telemáticas.

3. Mecanismos de atención personalizada aos estudantes
Ferramentas telemáticas.
Sempre que o alumno o precise.
4. Modificacións na avaliación
En periodos de semi-presencialidade (ou non-presencialidade), a avaliación realízase toda mediante ferramentas telemáticas.

* Observacións de avaliación:

5. Modificacións da bibliografía ou webgrafía
Non hai modificacións. Os alumnos dispoñen do material en Moodle y Faitic.

Study programme competencies
Code Study programme competences
A1 CE1 - Conocimiento de las herramientas matemáticas, estadísticas y econométricas necesarias para manejar con rigor los modelos económicos
A8 CE8 - Analizar y proponer cambios en el diseño de las organizaciones y de los sistemas de incentivos que mejoren el funcionamiento de los mismos en tener de su eficiencia.
A10 CE10 - Participar en grupos de trabajo interdisciplinarios ligados al estudio de las tendencias socio- económicas de largo plazo.
A12 CE12 - Analizar las ventajas y los inconvenientes de la regulación y de las políticas económicas y proponer alternativas.
B6 CG1 - Aplicar los conocimientos de economía a la identificación, previsión y solución de los problemas económicos en general, y en particular los relativos al nivel de especialización, en entornos nuevos o poco conocidos.
B13 CG8 - Capacidad para entender y explicar datos económicos y para trabajar con ellos mediante las técnicas más actuales.
C1 CT1 - Capacidad para comprender el significado y aplicación de la perspectiva de género en los distintos ámbitos de conocimiento y en la práctica profesional con el objetivo de alcanzar una sociedad más justa e igualitaria.
C2 CT2 - Capacidad para comunicarse por oral e por escrito en lengua gallega.
C3 CT3 - Sostenibilidad y compromiso ambiental. Uso equitativo, responsable y eficiente de los recursos.
C4 CT4 - Capacidad para interaccionar y defender con rigor, claridad y precisión ante otro especialistas trabajos, propuestas, nuevas ideas etc.
C7 CT7 - Capacidad para comunicarse por oral y por escrito en lengua inglesa.

Learning aims
Learning outcomes Study programme competences
Understanding the basic mathematical tools necessary for the formalization of economic behavior. AC1
AC8
AC10
AC12
 CC1
CC3
CC4
CC7
Acquiring skills in the search, identification and interpretation of relevant economic information sources and their content. AC1
AC8
AC10
AC12
 CC1
CC3
CC4
CC7
Being able to formulate simple models of relation of the economic variables, based on the use of technical instruments. AC1
AC8
AC10
AC12
 BC6
BC13
 CC1
CC3
CC4
CC7
Evaluating, using empirical techniques, the consequences of different action alternatives and select the most suitable ones. AC1
AC8
AC10
AC12
 BC6
 CC1
CC3
CC4
CC7
Encouraging a critical and self-critical attitude. Be able to generate their own reflections on problems of an economic nature and their social and ethical effects. AC8
AC10
AC12
 BC6
BC13
 CC1
CC4
CC7
Self-control in the work system, with respect to time and planning. AC10
 BC6
 CC1
CC3
CC4
CC7
Encouraging the research spirit, developing the ability to analyze new problems with the instruments acquired. AC1
AC8
AC10
AC12
 BC6
BC13
 CC1
CC4
CC7
Acquiring competences related to the search of documentation organization and to the presentation of the work in a suitable way to the audience. AC1
AC8
AC10
AC12
 BC6
BC13
 CC1
CC3
CC4
CC7
Reading and communicating in English in the professional field. Ability to prepare economic advisory reports. CC7
Respect for ethical and civic values. Ethical commitment to work. Capacity for teamwork. AC10
 CC4
Responsibility and ability to assume commitments. Skills to argue coherently and intelligibly, both orally and in writing. AC10
 CC2
CC4
CC7

Contents
Topic Sub-topic
Lecture 1.- Models of limited dependent variables and corrections in the sample selection 1.1. Logit and probit models for binary response
1.2. The tobit model for corner solutions
1.3. The Poisson regression model
1.4. Censored and truncated regression models
1.5. Corrections of the sample selection
Lecture 2.- Panel data models 2.1. Combination of cross sections in time: simple methods for panel data
2.1.1. Independent combination of cross sections over time
2.1.2. Analysis of panel data for a period of two years
2.1.3. Differentiation with more than two periods
2.2. Advanced methods for panel data
2.2.1. Estimation of fixed effects
2.2.2. Random effects models
2.2.3. Application of panel data methods to other data structures
Lecture 3.- Quantile regression and other econometric techniques. Spatial econometric models. 3.1. Quantile regression
3.2. Bootstrap
3.3. Nonparametric regression
3.4. Spatial econometric models

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Guest lecture / keynote speech A1 A8 A12 B6 B13 C1 C3 C4 C7 10 19 29
Supervised projects A1 A8 A10 A12 B6 B13 C1 C2 C3 C4 C7 1 19 20
ICT practicals A1 A8 A10 A12 B6 B13 C1 C3 C4 C7 5 20 25
 
Personalized attention 1 0 1
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies Description
Guest lecture / keynote speech Oral presentation, supported by audiovisual media, which includes theoretical concepts and practical examples.
Supervised projects Each student must perform, under supervision, a work with real data applying the techniques that have been taught in the course.
ICT practicals Students must carry out, with the support and direction of the professors, the empirical applications that are proposed to them.

Personalized attention
Methodologies
ICT practicals
Guest lecture / keynote speech
Supervised projects
Description
Practices through ICT, master session and supervised works. To carry out these activities, students need advice and, where appropriate, the supervision of teachers.
Each student must perform, under supervision, a course work with real data applying the techniques that have been taught in the course.

Assessment
Methodologies Competencies Description Qualification
Supervised projects A1 A8 A10 A12 B6 B13 C1 C2 C3 C4 C7 Individual work of up to 1000 words 100
 
Assessment comments

Knowledge of English is required, especially in reading comprehension, since part of the material that will be provided to the student is in this language.

In the second opportunity, 100% of the grade can be recovered through a supervised homework. Students who pass the course at the first opportunity, are not allowed to carry out the second opportunity.

The evaluation conditions of the advanced opportunity will be specific to this opportunity, which will be evaluated through a single supervised homework, which will mean 100% of the final qualification. Students with part-time dedication or academic waiver of class attendance will be evaluated with the same criteria as full-time students. Qualification of not presented: Corresponds to the student, when he/she only participates in evaluation activities that have a weight of less than 20% on the final grade, regardless of the grade achieved. The student must prove her/his identity in accordance with current regulations.

The tutorials and small group tutorials will always be done online.

If there are circumstances that advise it of various kinds, the subject may be passed in semi-face mode even if there has not been a change in the general health situation.

During a semi-presential (or non-presential) period, part (or all) of the methodologies will be carried out using telematic tools: Moodle, Teams and email. 

Sources of information
Basic
• Cameron, A.C. & Trivedi, P. (2005). Microeconometrics: Methods and Applications, Cambridge University Press. Capítulos 4.6, 9, 11, 14, 16, 17, 20, 21, 22, 23, 24 y 25. http://cameron.econ.ucdavis.edu/mmabook/mma.html • Wooldridge, J. M., Introductory Econometrics: A Modern Approach, 4ta Edición, Cenage, Capítulos 13, 14, 17. • Koenker, Roger, and Kevin F. Hallock (2001), Quantile Regression, Journal of Economic Perspectives 15 (4), 143-156. www.econ.uiuc.edu/~roger/research/rq/QRJEP.pdf • Hansen, B. (2018), Econometrics, Chapters 13, 17. https://www.ssc.wisc.edu/~bhansen/econometrics/ • Software básico: Gretl. http://gretl.sourceforge.net/ y R: www.r-project.org. RStudio (Versión Desktop- Open Source Edition): www.rstudio.com, https://cran.r-project.org/web/packages/wooldridge/index.html
Complementary
• Hansen, B. (2018), Econometrics, Chapters 16, 21. https://www.ssc.wisc.edu/~bhansen/econometrics/ • Wooldridge, J. M. (2002), Econometric Analysis of Cross Section and Panel Data, The MIT Press, Cambridge, Massachusetts London, England.

Recommendations
Subjects that it is recommended to have taken before
Quantitative Methods/611532004
Research Techniques/611532006
Econometric Techniques/611532003
Aggregate Economic Analysis and Growth/611532002
Economic Thought and Institutions/611532005
Economic Decisions and Market Analysis/611532001

Subjects that are recommended to be taken simultaneously

Subjects that continue the syllabus

Other comments


(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.