ECN301 Econometric Methods
Showing course contents for the educational year 2022 - 2023 .
Course responsible: Olvar Bergland
ECTS credits: 10
Faculty: School of Economics and Business
Teaching language: EN
Teaching exam periods:
This course starts in Spring parallel. This course has teaching/evaluation in Spring parallel.
Course frequency: Annually
First time: Study year 2007-2008
This course focuses on modern econometric methods for the utilization of and analysis using 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, models with limited dependent variables, models of sample selection and program evaluation, and time-series models for stationary or non-stationary processes, co-integration and error correction models, prediction and cross-validation.
The successful student should be able to
- conduct independent econometric analysis of economic data,
- access sources for economic data,
- combine data from different sources,
- critically evaluate econometric analysis with respect to choice of model, method and interpretation of results,
- communicate empirical economic analysis and results including data sources, choice of model and estimator, results and policy implications, and
- know and understand current professional and ethical standards for analysis, documentation and reporting within economics.
The course consists of lectures and organized computer laboratory time as well as self-study. There are six independent assignments. The assignments involve data, but are not limited to data gathering, data cleaning, estimation of different econometric models, interpretation and presentation of results, and critical assessment of econometric analysis.
The class time is divided with about 20% as organized class time, 40% as exercises, 40% as self study.
Open office 2 hours/week.
J.M. Wooldridge (2020): 'Introduction to Econometrics, Seventh edition. Selected chapters. Handouts. (This is may change).
STAT100 Statistics, ECN201 Econometrics (or regression analysis), Linear algebra at the level of ECN302 Mathematics for Economists. BUS350 Introduction to Data Analytics.
Courses in micro- and macroeconomics. Experience with computer languages such as Python and/or R.
Combined assessment based on a portfolio (6 assignments for 60% of overall grade) and an oral exam (40% of overall grade) held during the examination period. The oral exam includes a presentation based on one of the written assignments and questions pertaining to the course.
Minimum requirements for entrance to higher education in Norway (generell studiekompetanse).
Type of course:
Class lectures: 44 hours. Laboratory work: 20 hours.
The course is in English. Incoming students can contact student advisors at the School of Economics and Business (firstname.lastname@example.org) for admission to the course.
An external examiner is used to evaluate course content, exam questions and grading guidelines.
Examination details: Combined assessment: Letter grades