PhD in Economics

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.

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.

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.

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.

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.

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.

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.

They are courses of free choice by the student.

They are courses of free choice by the student.

They are courses of free choice by the student.

They are courses of free choice by the student.

They are courses of free choice by the student.

Antes de terminar el tercer año, el estudiante doctoral debe haber presentado el primer artículo de su disertación doctoral, el cual será valorado en la primera evaluación (normalmente al final del tercer año). El artículo debe constar de: (introducción, revisión de literatura, metodología, resultados, discusión y conclusiones y referencias). Una vez el artículo ha sido enviado al supervisor, éste será el encargado de la aprobación del primero artículo. para lo cual deberá enviar una comunicación formal al director de la Escuela Doctoral.

Semestralmente, el supervisor evaluará los avances de la disertación doctoral del estudiante, y emitirá un informe en el formato establecido. La evaluación positiva será requisito indispensable para continuar en el programa y tomar las siguientes asignaturas de Disertación Doctoral.

El supervisor evaluará los avances de la disertación doctoral del estudiante, y emitirá un informe en el formato establecido. La evaluación positiva será requisito indispensable para continuar en el programa y tomar las siguientes asignaturas de Disertación Doctoral.

El supervisor evaluará los avances de la disertación doctoral del estudiante, y emitirá un informe en el formato establecido. La evaluación positiva será requisito indispensable para continuar en el programa y tomar las siguientes asignaturas de Disertación Doctoral.

Semestralmente, el supervisor evaluará los avances de la disertación doctoral del estudiante, y emitirá un informe en el formato establecido. La evaluación positiva será requisito indispensable para continuar en el programa y tomar las siguientes asignaturas de Disertación Doctoral.

El estudiante tiene el documento listo para la presentación de la disertación doctoral ante los jurados (tres artículos completos). Realiza la presentación y la defensa de la tesis doctoral.