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Doctorado en Economía

1 Semester

Subject
The Theory of General Equilibrium is the basic element of current economic analysis. It constitutes a summary of what is known about microeconomic theory. It is a starting point for research in all fields of economics, and a reference that serves to compare results. In this course lecturers focus primarily on the neoclassical approach. However, where relevant, lecturers extend the approach starting from experimental evidence and in psychology.

Subject Typology: Compulsory
Credits: 4
New code: 92110005
Subject
This is a compulsory course in macroeconomics for the Master's degree in Economics and one of the two compulsory courses of the macro sequence for the doctorate in Economics. In this course, advanced concepts for short-term macroeconomic analysis are presented. As such, the course focuses on the analysis of economic cycles, rigidities, and the design of stabilizing macroeconomic policies.

Subject Typology: Compulsory
Credits: 4
New code: 92110006
Subject
Econometrics deals with the data analyses that describe economic phenomena. To accomplish this, the course combines Economic Theory, Mathematical Economic Analysis, and Statistics. Economic Theory formulates questions, hypotheses and models mainly of a qualitative nature. Mathematical Economic analysis expresses the economic theory in the form of equations, without paying attention to the measurement or to the empirical verification of the theory. Statistics provides the models and methods that facilitate such empirical verification. The econometrist seeks to measure and prove empirically the hypotheses proposed by economic theory, making use of the equations proposed by mathematical economic analysis. This course covers the basic topics of Econometrics with a level oriented to advanced training students.

Subject Typology: Compulsory
Credits: 4
New code: 92110007
Subject
The purpose of the course is to provide some basic mathematics tools used in economics research. At the end of the course, students are able to deal with mathematical structures behind economic models and solve problems of static and dynamic optimization, and diference equations.

Subject Typology: Compulsory
Credits: 4
New code: 92110008

2 Semester

Subject
Economists use information from agencies, institutions, and corporations in the public and private sectors. The information comes in three forms: time series, cross section and panel data. Time series data describe the movement of a variable over time, and may have annual, semiannual, quarterly, monthly, weekly, or even daily periodicity. The cross-sectional data describe the activities of individuals, companies, countries or other units at a given moment in time. Finally, the panel data combines the previous two, that is, describes the activities of each of the members of the same group of people, companies, countries or other units over time. This course examines three general classes of models that can be constructed from this information for forecasting purposes or policy analysis: time series models, limited dependent variable models, and panel data models. Each of these models involves a different degree of complexity and assumes a different level of understanding about the processes that are trying to be modeled.

Subject Typology: Compulsory
Credits: 4
New code: 60110043
Subject
Game theory is the study of multi participant decision making problems that uses theoretical models to study the interactions between individuals who carry out a decision process. In game theory we study agents that interact strategically. The decisions that each player makes impact the rest of the players and him or herself. Therefore, when an agent is deciding what to do he or she also has to consider what other players do.

Subject Typology: Compulsory
Credits: 4
Subject
This is an elective course in macroeconomics for the Master's degree in Economics and one of the two compulsory courses of the macro sequence for the doctorate in Economics. In this course, advanced concepts for long-term macroeconomic analysis are presented. As such, the course focuses on the analysis of the process of economic growth and development, and economic policies that can promote the accumulation of factors necessary to sustain the growth of the economy in the long term.

Subject Typology: Compulsory
Credits: 4

Subject Typology: Compulsory
Credits: 4

Subject Typology: Elective
Credits: 4

3 Semester

As its main objective, this lecture seeks to have among the professionals who enroll in their postgraduate studies at the Universidad del Rosario, to ponder on the tools and basic competences of learning, which they shall put into practice in their professional life. As such, this institutional subject provides the fundamental tools for graduate students to be able to detect strengths or weaknesses and build their personal academic project from the Rosarista project. In the framework of this class, the activities will be developed and transferred to the virtual platform of institutional learning, so it will be an entirely virtual subject. In this space, students will be able to browse online for content such as multimedia products, booklets and evaluation activities, freely, without restrictions and under the guidance of a virtual tutor. The subject is divided into the following study or learning modules: Historical Tour; Academic Support Tools; History and Institutional Project.


Subject Typology: Elective
Credits: 4

Subject Typology: Elective
Credits: 4

Subject Typology: Elective
Credits: 4

Subject Typology: Compulsory
Credits: 1
New code: 92110011

4 Semester


Subject Typology: Compulsory
Credits: 1
New code: 92110012

5 Semester


Subject Typology: Compulsory
Credits: 1
New code: 92110013
 

6 Semester


Subject Typology: Compulsory
Credits: 1
New code: 92110014
 

Subject Typology: Compulsory
Credits: 8
New code: 92110015

Subject Typology: Compulsory
Credits: 5
New code: 92110016

7 Semester


Subject Typology: Compulsory
Credits: 5
New code: 92110017
 

8 Semester


Subject Typology: Compulsory
Credits: 5
New code: 92110018
 

9 Semester


Subject Typology: Compulsory
Credits: 5
New code: 92110019
 

10 Semester


Subject Typology: Compulsory
Credits: 5
New code: 92110020
 

**PhD students must choose a course from each subject group of Topics in Microeconomics, Topics in Macroeconomics, and Topics in Econometrics.

In addition, during the PhD Program, the “Rosarista course” which is a non-credit humanistic subject must be taken as a requirement for graduation.

Total PhD Credits: 85
*Note: The faculty reserves the right to modify the curriculum. Please find the catalog of our courses here.

The Doctoral Program is part of the Graduate School of Economics. Since it is closely tied to the Master's Degree in Economics, which is a research master's degree lasting three semesters including the thesis, a PhD student, after completing and passing the formal courses (curriculum shared with the Master’s program), can obtain the Master's degree in Economics and continue with the doctoral program.
The students of Master’s Degree in Economics who are interested in pursuing a PhD Program may apply for admission, which is evaluated by the Graduate School Committee using criteria and guidelines established in the norms, as well as in the general regulations for doctoral programs at the university.
 
In case of admission, the student obtains the credits corresponding to the Master's Degree program. Notwithstanding the foregoing, graduates of the Master's programs admitted to the PhD program must pass the essential subjects of the PhD Program in the event they did not take a required elective while the student was in their Master's program.