Workshop: An Introduction to Econometric Modelling

This workshop is aimed at researchers with an interest in quantitative methods for economics and business who want to learn or refresh the basics of statistical and econometric modelling. The workshop covers an introduction to statistical software (R) and discusses linear regression models, univariate time series analysis, predictive inference, and forecasting. The focus is on applied research, and various examples/case studies are used to illustrate the merits of the covered econometric frameworks.

Target group

Researchers with an interest in quantitative methods for economics and business who want to learn or refresh the basics of econometrics.

Goals

After the workshop, participants should be able to implement, estimate and interpret regression-based modelling tools in a cross-sectional and time-series context. Participants will gain knowledge of different econometric methods and be able to critically assess their application.

Content

Introduction to applied econometrics with the statistical software R (open source); handling and manipulating datasets, visualization of data; overview/recap of probability & statistics, statistical inference; (linear) regression models; univariate time series analysis; predictive inference and forecasting.

Methods

Linear regression models, limited dependent variables, autoregressive processes; statistical inference, estimation and interpretation. No preliminary requirements, but basics skills in mathematics, probability and statistics are a plus.

Theoretical inputs complemented by interactive applied work.

In cooperation with

Competence Center for Empirical Research Methods

• Introduction to applied economics using the software R
• Handling and manipulating datasets
• Visualisation of data
• Overview/recapitulation of probability & statistics
• (linear) regression models
• univariate time series analysis
• predictive inference and forecasting