This Specialisation at Queen Mary University of London offers rigorous training in econometric methods, providing theoretical concepts, real-data examples, and industry-relevant applications. The course equips learners with the ability to test economic and finance theories, analyze the impact of macroeconomic changes, and forecast future economic variables.
This Specialisation is tailored for economists, finance practitioners, researchers, and policy makers who rely on econometric methods in their daily activities. Upon completion, learners will be adept at using modern econometric techniques to navigate associated risks and make informed decisions in economics and finance.
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The Specialisation covers the Classical Linear Regression Model, hypothesis testing in econometrics, applied econometrics techniques, and the econometrics of time series data using R.
The Classical Linear Regression Model module delves into the Ordinary Least Squares philosophy, practical estimation, and utilization of the model for decision-making in economics and finance.
The Hypotheses Testing in Econometrics module focuses on performing hypothesis testing, ensuring empirical adequacy of estimated models, and using hypothesis testing for decision-making purposes.
The Topics in Applied Econometrics module addresses the management of issues raised by identification, model selection based on data type, and interpretation of different models in applied econometrics.
The Econometrics of Time Series Data module teaches the estimation and statistical validation of various models using R, enabling effective decision-making in economics and finance.
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