Econometrics 1 (ECOM-G314)

August 12, 2019

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Method of completion: contact teaching


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Study material:

  • Can be found in the Moodle learning platform
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The course builds upon a Bachelor-level introductory course in econometrics. A central goal is to deepen the knowledge on the linear regression model in various directions, including regression with instrumental variables and heteroskedastic errors. In addition, maximum likelihood estimation and the related asymptotic tests are introduced.

The course starts with a review of the linear regression model and the small-sample and asymptotic properties of the ordinary least squares estimator and statistical inference concerning its parameters. A large part of the course is devoted to the detection of and addressing violations of the basic assumptions of the linear regression model. In particular, statistical inference based on the ordinary least squares estimator under heteroskedastic or autocorrelated errors are considered. The instrumental variables and the generalised method of moments estimators, useful in the case of endogenous regressors as well as the method of maximum likelihood, widely applicable in econometrics, also introduced. Throughout the course, the emphasis is on the practical aspects of econometric modelling instead of the foundations of statistical inference. The models and methods are illustrated by means of Monte Carlo simulations and empirical applications.