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Advanced Topics in Applied Economics

Code: 43791
Credits: 9
2026/2027
Degree programme Type Course
Applied Research in Economics and Business OP 0

Contact lecturer

Name :
Karen Davtyan Darchinyan
Email :
karen.davtyan@uab.cat

Teaching staff

Maria Cervini
David Castells Quintana

Group languages

You can consult this information at the end of the document.

Prerequisites

Modules 1 and 2 of MAREB

Objectives

To provide a broad understanding of advanced techniques and topics for empirical research in economics.

Learning outcomes

  1. Possess and understand knowledge that provides a basis or opportunity for originality in the development and/or application of ideas, often in a research context
  2. Student should possess an ability to learn that enables them to continue studying in a manner which is largely self-supervised or independent
  3. Work in international and inter-disciplinary teams.
  4. Produce and draft projects, technical reports and academic articles in English, making use of the appropriate terminology, argumentation, communication skills and analytical tools for each context, and rigorously evaluate those produced by third parties.
  5. Analyse, synthesise and critically evaluate a certain matter of scientific interest and/or real problem case, considering its different perspectives and supporting the results and conclusions obtained.
  6. Propose empirical problems and solve them using the most suitable quantitative methodologies in terms of macroeconomic questions and territorial economy.
  7. Recognise and distinguish the theoretical and empirical knowledge associated to public economics both in its most advanced microeconomic fundaments and in application to questions such as tax design and environmental economics and the social evaluation of projects.
  8. Recognise and distinguish the theoretical and empirical knowledge associated to questions of efficiency and equity in economics, and how they can contribute to the economic development of societies.
  9. Resolve global socio-economic problems and challenges in a context of the increasing integration of the global economy by applying economic analysis.
  10. Correctly apply the advanced econometric techniques needed to obtain empirical results that are valid for the practical problem being studied.
  11. Recognise and discern theoretical and empirical knowledge related to the macroeconomic functioning of the labour market.

Contents

Advanced Econometrics

1. Specification and Heteroskedasticity

2. Autocorrelation and ML Estimator

3. Endogeneity, IV and 2SLS

4. Univariate Time Series Models

5. Multivariate Time Series Models

6. Static Panel Data Models

7. Dynamic Panel Data Models

8. Discrete Choice Models

9. Tobit Models and Sample Selection

10. Policy Evaluation: RCT, Diff-in-Diff, and RDD


Learning activities and methodology

Title Hours ECTS Learning outcomes
Type: Autonomous
Autonomous 124.2 4.968 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
Type: Guided
Directed 56.25 2.25 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
Type: Supervised
Supervised 33.75 1.35 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11

Classes, essay writing, tutorials, study and research activities.

 

Annotation: within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

Assessment

Continuous assessment activities

Title Weight Hours ECTS Learning outcomes
Exams 70% 4.8 0.192 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
Presentation and discussion of essays and problems 30% 6 0.24 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11

The grade for the module will be based on an exam (70%) and a research project/an essay/exercises (30%).

To pass the course, the following conditions must be met:

• The exam grade is at least 3.5;

• The overall grade is at least 5.0.

In the event that any of these conditions are not fulfilled, the student will be given an opportunity to take a recovery exam.

The format of the recovery exam will be determined by the professor, and the maximum grade that can be obtained on this exam is 5.0.

Calendar of evaluation activities

The dates of the evaluation activities of the module (the exam, the research project, assignments,...) will be announced well in advance during the semester.

\"The dates of evaluation activities cannot be modified, unless there is an exceptional and duly justified reason why an evaluation activity cannot be carried out. In this case, the degree coordinator will contact both the teaching staff and the affected student, and a new date will be scheduled within the same academic period to make up for the missed evaluation activity.\" Section 1 of Article 264. Calendar of evaluation activities (Academic Regulations UAB). Students of the Faculty of Economics and Business, who in accordance with the previous paragraph need to change an evaluation activity (mainly the exam) date must process the request by filling out an application for exams' reschedule (https://eformularis.uab.cat/group/deganat_feie/nou-reprogramacio-de-proves).

Grade revision process

After all grading activities of the module have ended, students will be informed of the date and way in which the module grades will be published. Students will be also be informed of the procedure, place, date and time of grade revision following University regulations.

Retake Process

\"To be eligible to participate in the retake process of the module, it is required for students to have been previously evaluated for at least two thirds of the total evaluation activities of the module.\" Section 2 of Article 261. The recovery (UAB Academic Regulations). Additionally, the student must achieve an average module grade of at least 3.5. The date of the retake exam will be duly announced by the coordination of the program. Students who take this exam and pass, will get a grade of 5 for the module. If the student does not pass the retake, the grade will remain unchanged, and hence, student will fail the module.

Irregularities in evaluation activities

In spite of other disciplinary measures deemed appropriate, and in accordance with current academic regulations, \"in the case that the student makes any irregularity that could lead to a significant variation in the grade of an evaluation activity, it must be graded with a 0, regardless of the disciplinary process that can be instructed. In case of various irregularities occur in the evaluation of the same module, the final grade of this module is 0\". Section 11 of Article 266. Results of the evaluation (UAB Academic Regulations).

Not Assessed Grade

A student can obtain \"Not Assessed\" grade in the module only when he/she has not participated in any of the evaluation activities within it. Therefore, students who perform even only one evaluation component cannot obtain \"Not Assessed\" grade in the module.

Evaluation policy

The completion of assessment activities is subject to the provisions set out in this course guide and in the "Policy of the School of Economics and Business on the Detection of Irregularities during Assessment Activities", which regulates the conditions under which assessment tasks are conducted and the procedures applicable in cases where indications of irregularities are detected. Students are encouraged to consult the policy.

Bibliography

  • Angrist, J. D., & Pischke, J. S. (2014). Mastering metrics: The path from cause to effect. Princeton university press.
  • Cameron, A. and P. Trivedi (2005). Microeconometrics: Methods and applications. Cambridge University Press.
  • Cunningham, S. (2021). Causal inference: The mixtape. Yale university press.
  • Enders, W. (2015). Applied econometric time series. Fourth edition, John Wiley & Sons.
  • Gelman, A., Hill, J., & Vehtari, A. (2021). Regression and other stories. Cambridge University Press.
  • Verbeek, M. (2017). A guide to modern econometrics. Fifth edition, John Wiley & Sons.
  • Wooldridge, J. (2010). Econometric Analysis of Cross Section and Panel Data. MIT Press.

Software

  • Text editors (Word, Pages, LaTeX, ...).
  • Spreadsheets (Excel, Numbers, ...).
  • Slide show presentations (PowerPoint, Keynote, LaTeX, ...).
  • Statistical/Econometric software and/or for data management (Stata, R, Eviews, Python, ...).

Course groups and languages

The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE

Type of teaching Group Language Semester Shift
(TEm) Theory (master) 30 English second semester afternoon
(PLABm) Practical laboratories (master) 30 English second semester afternoon