The field of Econometrics is a part of Economics and deals with mathematical and statistical data. It contributes to economic models development, problem solving, testing theories and data analysis. Econometrics is based on quantitative analysis of various economic phenomena. This study field adds empirical content to the theories that allow them to be analyzed and evaluated. Statistical theory contributes to development of econometric models and methods that help to solve economic questions. Data is usually collected through observations and is processed using standard statistical models. Regression analysis has an important role in Econometrics field and it contributes to problem solving as statistical technique. These problems can be usually solved for business sectors, governments, consultancy companies, other non-profit sectors. Graduates can work at insurance companies, banks, marketing companies, governmental institutions or consultancy firms.
University of Groningen
The short course Demographic Methods and Analysis (re)trains professionals in methods and analytical techniques in the discipline of demography. The course consists of different modules in which participants learn different analytical techniques that can be applied to demographic data.
Utrecht University
Regression analysis is an essential part of the toolkit of empirical economists. The aim of this intensive course is to provide an introduction to the linear regression model. The course is in particular useful for students who lack sufficient basic knowledge of statistic and/or regression analyses.
University of Copenhagen
This course introduces topics from research in financial time series econometrics. For each topic, econometric methods are discussed and illustrated by empirical applications.
School of Oriental and African Studies
This module is about econometric methods and how they are applied to estimate and test the unknown parameters of economic relationships. Priority is given to both the statistical reasoning underlying the methodology and the practical considerations involved in using this methodology with a variety of models and real data.