Guía docente de Métodos para la Investigación en Microeconomía (M56/56/1/41)

Curso 2022/2023
Fecha de aprobación por la Comisión Académica 15/07/2022

Máster

Máster Universitario en Economía / Economics

Módulo

Módulo II: Segundo Trimestre

Rama

Ciencias Sociales y Jurídicas

Centro Responsable del título

International School for Postgraduate Studies

Semestre

Primero

Créditos

4

Tipo

Optativa

Tipo de enseñanza

Presencial

Profesorado

  • Ana Isabel Moro Egido

Tutorías

Ana Isabel Moro Egido

Email
  • Primer semestre
    • Lunes 15:00 a 18:00 (Empre. Desp. B324)
    • Martes 15:00 a 16:30 (Empre. Desp. B324)
    • Martes 9:00 a 10:30 (Empre. Desp. B324)
  • Segundo semestre
    • Martes 15:30 a 17:00 (Empre. Desp. B324)
    • Martes 10:00 a 14:30 (Empre. Desp. B324)

Breve descripción de contenidos (Según memoria de verificación del Máster)

  • In this course we cover the standard models to deal with empirical applications in Microeconomics.
  • They would learn how to treat continuos variables, dummy variables, categorical ordered and non ordered variables and truncated variables.
  • The software for the course is STATA.
  • They must be able at the end of the course to explore complex databases and to choose the accurate estimators depending on the model they want to test.

Prerrequisitos y/o Recomendaciones

Student should have some skills in Statistics, Econometrics, Microeconomics and programming.

Competencias

Competencias Básicas

  • CB6. Poseer y comprender conocimientos que aporten una base u oportunidad de ser originales en desarrollo y/o aplicación de ideas, a menudo en un contexto de investigación.
  • CB7. Que los estudiantes sepan aplicar los conocimientos adquiridos y su capacidad de resolución de problemas en entornos nuevos o poco conocidos dentro de contextos más amplios (o multidisciplinares) relacionados con su área de estudio.
  • CB8. Que los estudiantes sean capaces de integrar conocimientos y enfrentarse a la complejidad de formular juicios a partir de una información que, siendo incompleta o limitada, incluya reflexiones sobre las responsabilidades sociales y éticas vinculadas a la aplicación de sus conocimientos y juicios.
  • CB9. Que los estudiantes sepan comunicar sus conclusiones y los conocimientos y razones últimas que las sustentan a públicos especializados y no especializados de un modo claro y sin ambigüedades.
  • CB10. Que los estudiantes posean las habilidades de aprendizaje que les permitan continuar estudiando de un modo que habrá de ser en gran medida autodirigido o autónomo.

Resultados de aprendizaje (Objetivos)

 

  • The different quantitative techniques for the analysis of any economic problem.
  • The implications of different types of determinants, in particular, the interpretation of the effect of a continuous variables versus a discrete variable.
  • To select the main findings of the quantitative analysis 
  • To identify a relevant empirical economic problem,
  • Distinguish between different empirical methodologies to address a question.
  • Gather evidence (references, empirical, theoretical, etc) to perform an analysis.
  • Analyze the empirical evidence to solve a new problem.
  • Conduct an empirical analysis with the most relevant methodology.
  • Identify relevant conclusions.

Programa de contenidos Teóricos y Prácticos

Teórico

Topic 1: Review of linear regression

Topic 2: Discrete choice dependent variable models.

Topic 3: Multinomial response discrete choice models: ordered and non-ordered models.

Topic 4: Censored data models: the Tobit and the sample selection models.

Topic 5. Topics in quantile regression, RDD, Diff-in-Diff and policy evaluation.

Práctico

Practical exercises using the software STATA on each theoretical topic.

 

Topic 1: Review of linear regression

Topic 2: Discrete choice dependent variable models.

Topic 3: Multinomial response discrete choice models: ordered and non-ordered models.

Topic 4: Censored data models: the Tobit and the sample selection models.

Topic 5. Topics in quantile regression, RDD, Diff-in-Diff and policy evaluation.

 

Bibliografía

Bibliografía fundamental

  • Cameron, A. C., y Trivedi, P. K. (2005): Microeconometrics: Methods and applications. Cambridge University Press.
  • Greene, W. H. (2003): Econometric analysis. 5ª edición. Prentice-Hall.
  • Wooldridge, J. M. (2006): Introductory econometrics: a modern approach. South-Western.

Enlaces recomendados

https://prado.ugr.es/prado2/

Metodología docente

Evaluación (instrumentos de evaluación, criterios de evaluación y porcentaje sobre la calificación final.)

Evaluación Ordinaria

ORDINARY ASSESSMENT SESSION

Article 17 of the UGR Assessment Policy and Regulations establishes that the ordinary assessment session (convocatoria ordinaria) will preferably be based on the continuous assessment of students, except for those who have been granted the right to a single final assessment (evaluación única final), which is an assessment method that only takes a final exam into account.

It will be conducted an ongoing evaluation of the following aspects of student training (the weight of each item in the final assessment shown in parenthesis):

  • Oral presentations of exercises (including programs and analysis)                         (35%)
  • Report (solve some exercises including programs and analysis)                              (65%)

The evaluation of the subject requires a minimum of 80% presence in classes to pass the subject. It will be also compulsory to attend the seminars (if any) organized within the subject. The report should be submitted by PRADO.

Evaluación Extraordinaria

EXTRAORDINARY ASSESSMENT SESSION

Article 19 of the UGR Assessment Policy and Regulations establishes that students who have not passed a course in the ordinary assessment session (convocatoria ordinaria) will have access to an extraordinary assessment session (convocatoria extraordinaria). All students may take part in this extraordinary assessment session, regardless of whether or not they have followed continuous assessment activities.

In this way, students who have not carried out continuous assessment activities will have the opportunity to obtain 100% of their mark by means of an assignment.

Evaluación única final

Article 8 of the UGR Assessment Policy and Regulations establishes that students who are unable to follow continuous assessment methods due to justifiable reasons shall have recourse to a single final assessment (evaluación única final), which is an assessment method that only takes a final exam into account. 

In order to opt for a single final assessment (evaluación única final), students must send a request, using the corresponding online procedure, to the coordinator of the master’s programme, in the first two weeks of the course or in the two weeks following their enrolment (if the enrolment has taken place after the classes have already begun). The coordinator will communicate this information to the relevant teaching staff members, citing and verifying the reasons why the student is unable to follow the continuous assessment system. 

Students authorized to this type of unique final evaluation would be evaluated using a report (solve some exercises including programs and analysis).

Información adicional