The workshop provides a platform to discuss new develop­ments in the field of empirical and applied macroeconomic modelling and aims at bringing together academic research­ers and practitioners. We invite applied and theoretical papers dealing with panel data, time series and business cycles,...

The Kiel Institute offers the possibility of attending selected courses of its Advanced Studies Program. Empirical Methods: Macroeconomics - Stefan Reitz (Kiel Institute for the World Economy) Applied Econometrics of FX Markets Course syllabus 1. Basic econometric concepts 2. Introduction to...

The workshop provides a platform to discuss new developments in the field of empirical and applied macroeconomic modelling and aims at bringing together academic researchers and practitioners. We invite applied and theoretical papers dealing with time series and business cycles, economic...

The Kiel Institute offers the possibility of attending selected courses of its Advanced Studies Program. Prof. Dr. St. Reitz (Institute for the World Economy Kiel) Topics 1. Basic econometric concepts 2. Introduction to RATS programming 3. The classical linear regression model 4. Modelling...

The workshop provides a platform to discuss new developments in the field of empirical and applied macroeconomic modelling and aims at bringing together academic researchers and practitioners. We invite empirical, applied and theo-retical papers dealing with time series and panel econometrics,...

The Kiel Institute offers the possibility of attending selected courses of its Advanced Studies Program. Chris Reicher (IfW Kiel) This course is intended to be a course in practical applied econometrics. Its emphasis will be more on the practical application of econometrics and less on theory,...

Jonas Dovern and Jens Hogrefe (Kiel Institute for the World Economy) Empirical Methods in Macroeconomics (module I) Topics: 1. Introduction to Econometrics 2. The Classical Multiple Regression Model 3. Properties of the OLS Estimator 4. Hypothesis Tests 5. Selection of Explanatory Variables 6....