Graduates Courses
PhD Course in Econometrics (TA) (Program).
Models with discrete dependent variables and applications of panel data
methods in all fields of economics have become increasingly important. This
course starts with a brief review of concepts previously carried out in
other courses of the program and focuses afterwards mainly on the
methodological and empirical issues concerning the analysis of cross section
and panel data in the specific context of economic models. Selected topics
in time series analysis, especially topics of importance for the panel data
analysis of dynamic models, will also be discussed. On satisfactory
completion of this course, students will be provided with a number of
sophisticated econometric tools which are of use in advanced empirical
research or professional work.
PhD Course in Financial Econometrics (TA). The objective of this course is
describing the properties of the main econometric models usually implemented
to represent the dynamic evolution of financial time series of returns, with
especial focus on their ability to represent the empirical properties of
real time series and to predict their evolution.
MatLab Course. (with
Prof. Santiago
Pellegrini)
MATLAB is a program that was originally developed in FORTRAN as a MATrix
LABoratory for solving numerical linear algebra problems. It has since grown
into something much bigger, and it is used to implement numerical algorithms
for a wide range of applications. The basic language used is very similar to
standard linear algebra notation, but MATLAB has advanced to solve nonlinear
problems and provide detailed graphics.
Training course on financial time series using MatLab. Master in Statistics,
Córdoba (Argentina). (with
Prof. Santiago
Pellegrini)
This course attempts to make a brief survey of a model that is more and more
considered to analyze and forecast volatility, called stochastic volatility
(SV) model. In particular, we discuss some of its statistical properties and
the some estimation methods. We intensively use MATLAB for all the
computations.
Undergraduate Courses
Econometrics II.
Inference.
Statistics for Business.
Statistics III.
Statistics Applied to Social Sciences.
Introduction to Statistics.
Design of Experiment.