PrEMAS 4 Econometrics and Academic Skills

Actuarieel Instituut

Wil je actuaris worden? Kun je kritisch denken en heb je statistisch inzich? Onze premastermodules zijn dé manier om je voor te bereiden voor de opleiding tot actuaris.

Prijs

vanaf € 3.490

Niveau

Wo-bachelor

Soort

Opleiding

Thema

Financiën

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Beschrijving

The first part focuses on the theory and application of the linear regression model and covers the assumptions that are required for the identification and estimation of the model parameters. The students will derive the asymptotic properties of the ordinary least squares estimator and will learn how to interpret results, assess the validity of a chosen model, test hypotheses and make predictions. In the second part of the course, the students will learn about methods that can be used when some of the assumptions underlying the linear regression model do not hold. Maximum likelihood estimation is applied to estimate models with binary outcomes (logit, probit) or with censored outcome data (Tobit). Methods that can be used to model stationary time series are also covered in this part. Throughout the course, students will apply the methods to data from the financial, actuarial and economics domain using statistical programming language R. During these exercises we will discuss principles of modelling, sensitivity analysis, assumption checking, interpretation of the model output and reproducibility of results.