This course focuses on modern econometric methods for the analysis of economic data - both cross-sectional and time-series data. The following topics are covered: estimation and testing of linear regression models with stochastic and possibly endogenous regressors, panel data models, systems of equations, models with limited dependent variables, models of sample selection and program evaluation, and time-series models for stationary or non-stationary processes, cointegration and error correction models.

The successful student should be able to conduct independent econometric analysis of economic data, and to critically evaluate econometric analysis with respect to choice of model, method and interpretation of results. The analysis should be performed using a computer and appropriate software. The econometric analysis should be in accordance with current standards for scientific documentation within economics.

The course consists of lectures, computer laboratory time, independent exercises and self-study.

Open office 2 hours/week.

J.M. Wooldridge (2014): 'Introduction to Econometrics, 1st edition. Selected chapters. Handouts. (This is may change).

ECN201 Econometrics (or regression analysis), STAT100 Statistics, ECN210 Intermediate Microeconomics- Consumers, Producers, Market and Welfare, and linear algebra at the level of ECN302 Mathematics for Economists.

Compulsory exercises and project work involving econometric analysis using computers. Compulsory exercises and project work is valid for 2 years.

Final examination, 3,5 hours (100%)

150 hours

Minimum requirements for entrance to higher education in Norway (generell studiekompetanse).

ECN300 - 5 ECTS

Class lectures: 45 hours. Laboratory work: 25 hours.

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An external examiner is used to evaluate course content, exam questions and grading guidelines.