EViews 7 training & resources

Economic Indicators: Monitoring the South African Economy

17-21 May 2010 — Department of Economics, University of Pretoria

Presented by the Department of Economics at the University of Pretoria, the course in Economic Indicators focuses on the available data sources and appropriate techniques to measure the macroeconomic performance of the South African Economy. For the course structure, fees, registration and enquiries, please download the course brochure.

Econometrics for the Practitioner

24-28 May 2010 — Department of Economics, University of Pretoria

Presented by the Department of economics at the University of Pretoria, this course is of an applied nature and focuses on hands-on experience in estimation, interpretation and evaluation of economic relationships. The aim is to reconcile economic theory with practice, thereby empowering learners with analytical skills and a hands-on approach to decision making processes. For the course structure, fees, registration and enquiries, please download the course brochure.

Econometric Analysis of Cointegration

1-4 June 2010 — Department of Economics, University of Pretoria

Presented by the Economics Department at the University of Pretoria, this course addresses the appropriate modeling techniques for time-series data when unit roots are present in the data (i.e. dat is non-stationary) - a problem that applied economists encounter in almost all economic time-series applications. For the course structure, fees, registration and enquiries, please download the course brochure.

Econometric Analysis of Panel Data

7-11 June 2010 — Department of Economics, University of Pretoria

Presented by the Department of Economic at the University of Pretoria, this course is of an applied nature and focuses on hands-on experience in estimation, interpretation and evaluation of economic relationships, within a panel data context. In this course "panel data" refers to the pooling of observations on a cross-section of countries, households, firms, etc. over a number of time periods. Panel data allows for more informative results, more variability, more degrees of freedom and more afficiency. For the course structure, fees, registration and enquiries, please download the course brochure.