ECN301 Econometric Methods
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Showing course contents for the educational year starting in 2020 .
Course responsible: Olvar Bergland
ECTS credits: 10
Faculty: School of Economics and Business
Teaching language: EN
(NO=norsk, EN=Engelsk)
(NO=norsk, EN=Engelsk)
Limits of class size:
-
Teaching exam periods:
This course starts in the parallel. This course has teaching/evaluation both in Autumn parallell and Spring parallel.
In the academic year of 2020/2021 the course is offered both in the Autumn and Spring parallel. From the academic year of 2021/2022 the course is offered only in the Spring parallel.
Course frequency: <p>Annually</p><p>In the academic year of 2020/2021 the course is offered both in the Autumn and Spring parallel. From the academic year of 2021/2022 the course is offered only in the Spring parallel. </p>
First time: 2007H
Preferential right:
-
Course contents:
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.
Learning outcome:
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.
Learning activities:
The course consists of lectures and organized computer laboratory time as well as self study. There are four independent exercises and one group project which includes oral presentation of the econometric analysis. The class time is divided with about 20% as organized class time, 30% as exercises, 20% as group project and 30% as self study.
Teaching support:
Open office 2 hours/week.
Syllabus:
J.M. Wooldridge (2020): 'Introduction to Econometrics, Seventh edition. Selected chapters. Handouts. (This is may change).
Prerequisites:
STAT100 Statistics, ECN201 Econometrics (or regression analysis), Linear algebra at the level of ECN302 Mathematics for Economists.
Recommended prerequisites:
Courses in micro- and macroeconomics. Experience with computer languages such as Python and/or R.
Mandatory activity:
The course consists of lectures and organized computer laboratory time as well as self sudy. There are four independent exercises and one group project which includes oral presentations of the econometric analysis. Compulsory exercises and project work are valid for 2 years.
Assessment:
Countinuous assessment:
5 problem sets (50 %, 10 % each)
Home examination, 48 hours (50 %).
Nominal workload:
300 hours
Entrance requirements:
Minimum requirements for entrance to higher education in Norway (generell studiekompetanse).
Type of course:
Class lectures: 44 hours. Laboratory work: 20 hours.
Note:
The course is in English. Incoming students can contact student advisors at the School of Economics and Business (studieveileder-hh@nmbu.no) for admission to the course.
In the academic year of 2020/2021 the course is offered both in the Autumn and Spring parallel. From the academic year of 2021/2022 the course is offered only in the Spring parallel.
Examiner:
An external examiner is used to evaluate course content, exam questions and grading guidelines.
Allowed examination aids: B2 Calculator handed out, other aids as specified
Examination details: One written exam: A - E / F