Introduction to Econometrics with practical work on the PC. After a short review of statistical concepts (random variables, probability distributions) the course focuses on regression analysis and simple dynamic modelling approaches. In this context, the problem of autocorrelated and heteroscedastic disturbances is addressed.Econometrics I is followed in the summer term by Econometrics II.

Introduction to Ecocometrics with practical work on the PC. The lecture builds on Econometrics I (regression analysis, autocorrelated and heteroscedastic disturbances) and addresses the problem of mulitcollinearity, the estimation of error-correction models, simulataneous equation models and the Probit model.

Agricultural production is exposed to various risks and risk management is indispensable. This course introduces modern concepts on farmers' decision making under risk and risk management. We present innovative insights, emprical example from European agriculture. You gain hands-on experience using R.

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Anwendungsorientierte Einführung in das Gebiet der Ökonometrie. Die Vorlesung schliesst an Ökonometrie I vom Sommersemester an (Regressionsanalyse, Autokorrelation und Heteroskedastizität) und behandelt das Problem der Multikollinearität in Regressionsmodellen, die Schätzung von Fehlerkorrekturmodellen und simultanen Mehrgleichungsmodellen sowie den Probit Ansatz.