KT043022 KTS24 Advanced Econometrics 10 op
Organised by
Economics
Person in charge
Heikki Kauppi
Planned organizing times
Period(s) I II III IV
2016–2017 X
2017–2018 X
Preceding studies
Compulsory:
Compulsory: TK082019 TKM7/LRS22/KT35 Introduction to Econometrics or equivalent knowledge

Learning outcomes

The aim of the course is to deepen students' understanding of modern econometrics and to teach how selected econometric techniques are applied in empirical economic research. The course wishes to provide the student with necessary knowledge for understanding applied econometric papers and for conducting empirical econometric analysis independently.

Contents

The regression framework and the underlying statistical theory are introduced at a fairly general level. The basic asymptotic (large sample) theory and its application to ordinary least squares estimation are treated under the random sampling assumption, common in empirical analyses of cross-sectional data. Problems related to multicollinearity, heteroscedasticity, omitted variable bias and simultaneity are covered. Instrumental variable estimation and related techniques are also covered. Other topics include panel and binary response regressions. Theoretical problem sets are an important part of the course. Empirical problem sets include demonstrations with econometric software.

Teaching methods

Teaching method Contact Online
Lectures 30 h 0 h
Exercises 14 h 0 h

Lectures 30 h (Kauppi), Exercises 14 h (Roukka)

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
Written exam
  • In English
Exercise(s)
  • In English

Evaluation

Numeric 0-5.

Recommended year of study

4. year spring
5. year spring

Belongs to following study modules

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Incoming examinations

Mar 1, 2018
May 22, 2018
2017–2018
Teaching
Implementation details are unavailable.
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