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 (2009): 'Introductory Econometrics: A Modern Approach', 4th edition. Handouts. (This is may change.)

An introductory course in econometrics (ECN201) (or regression analysis), statistics (STAT100), microeconomics (ECN210), and linear algebra at the level of ECN302.

Compulsory exercises and project work involving econometric analysis using computers. (Approved work is valid for two - 2 - years.)

3.5 hour final examination, 100%.

Normalized effort is 300 hours, of which 70 hours are organized activities, some 80 hours are related to exercises/project work, and 150 hours for self-study.

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

This course replaces ECN300. A student can not be given credit for both ECN300 and ECN301.

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.