Detaljer om emnet ECN201

ECN201 Econometrics

English course Information

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Viser emnet slik det undervises i studieåret med start i 2018 .

Emneansvarlige: Kyrre Rickertsen
Studiepoeng: 10
Ansvarlig fakultet: Handelshøyskolen
Frekvens: Annually
Undervises på språk: EN
(NO=norsk, EN=Engelsk)
Undervises i periode:
This course has teaching/evaluation in Autumn parallel.
Første gang: Studieår 2006-2007
Fortrinnsrett: B-ECON and M-ECON.
Emnets innhold:
The course covers two- and multiple-variable regression analysis. Topics include: Ordinary Least Squares (OLS), hypothesis testing, violations of the OLS assumptions, Generalized Least Squares (GLS), dummy independent variables. The econometric program Stata is used in computer exercises and the required term paper.
Læringsutbytte:

Knowledge

The student should know:

- Basic concepts in econometrics

- Regression analysis of economic data

- The assumptions of the classical linear regression model and consequences of violating these assumptions

- Hypothesis testing by using t- and F-tests

- Testing and correcting for misspecification in the single equation context

- The use of Stata in regression analysis

Skills

The student should be able to:

- Do basic econometric calculations by using a calculator

- Interpret and critically evaluate outcomes of empirical analysis

- Do an econometric analysis in Stata using his or her own data

General competence

The student should be able to:

- Read and understand reports and articles that make use of the methods introduced in this course

- Use Stata in her or his own academic work, for example, in analysis needed in a master thesis

Læringsaktiviteter:
The course consists of lectures and independent studies in the form of reading the textbook, solving problem sets, doing PC exercises, and writing a term paper. The students are encouraged to work in groups. A group of either two or three students can write one term paper. It is important to get started with all the activities early in the semester.
Læringsstøtte:

The lecturer will have two office hours each week.

The TA will have two office hours each week.

Pensum:

Demodar N. Gujarati and Dawn C. Porter (2009). Basic Econometrics, fifth edition, McGraw-Hill. The textbook used in the course may be changed.

Students need to purchase a personal license for Stata for their own PC. The license has to be purchased from StataNordic, http://statanordic.com/

For this course, the Small Stata Six-months 15, Student Only version is sufficient.

Forutsatte forkunnskaper:
Mathematics (MATH100 ntroductory Mathematics or ECN102 Introduction to Mathematics for Economists), statistics (STAT100 Statistics), and microeconomics (ECN210 Intermediate Microeconomics- Consumers, Producers, Market and Welfare).
Anbefalte forkunnskaper:
Macroeconomics and courses in applied economics.
Vurderingsordning:
60% of the final grade will be based upon a 3,5 hour written examination. 40% of the final grade will be based on the term paper. Students must have a passing grade (A-E) on both the term paper and the written examination to get a passing grade in this subject. A term paper and its grade is valid the year the term paper is written and the next year. No re-examination is offered. 
Sensor:
The course is graded by an internal examiner. External examiner will control the quality of syllabus, questions for the final examination, and principles for the assessment of the examination answers.
Merknader:
ECN202 Introduction to Econometrics is a basic version of ECN201 Econometrics. However, ECN202 Introduction to Econometrics  does not use the computer program Stata and does not include a term paper. A different textbook is also used in ECN202 Introduction to Econometrics. 
Normert arbeidsmengde:
300 hours
Opptakskrav:
Minimum requirements for entrance to higher education in Norway (generell studiekompetanse).
Overlapp:
The course partly overlaps with ECN202 Introduction to Econometrics and STAT200 Regression Analysis. There is reduction in credits for ECN202 Introduction to Econometrics (5 ECTS) and STAT200 Regression Analysis (5 ECTS).
Undervisningstid:
The expected total workload of this course is 300 hours. About 250 hours are unstructured time. About 150 hours must be allocated to independent studies (such as reading, doing problem sets, etc) and about 100 hours to the term paper.
Hjelpemidler ved skriftlig eksamen(er): B1 Utdelt kalkulator. Ingen andre hjelpem.
Eksamensdetaljer: Langsgående vurdering: A - E / Ikke bestått