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Course syllabus - Econometrics

Scope

7.5 credits

Course code

NAA120

Valid from

Autumn semester 2015

Education level

First cycle

Progressive Specialisation

G1F (First cycle, has less than 60 credits in first-cycle course/s as entry requirements).

Main area(s)

Economics

School

School of Business, Society and Engineering

Ratified

2015-02-04

Literature lists

Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.

    • Ratified date: 2017-10-06
    • Latest update: 2017-10-06

    Books

    Studenmund, A. H.; Johnson, Bruce K.

    A practical guide to using econometrics

    7. [rev.] ed. ; Global ed. : Harlow : Pearson, [2017] - 572 s.

    ISBN: 9781292154091 LIBRIS-ID: 20048444

    • Ratified date: 2015-10-12
    • Latest update: 2015-10-12

    Books

    Studenmund, A. H.

    Using econometrics : a practical guide

    6. ed. : Boston, Mass. : Pearson, cop. 2014 - 558 s.

    ISBN: 9781292021270 (internat. ed.) LIBRIS-ID: 14681153

    Mandatory

Objectives

The aim of this course is to give an understanding of basic methods for statistical analysis of economic data, and the ability to use these methods to test hypotheses about these data and to estimate parameters of economic models. Students also learn some ways to test if the methods are applicable to a specific data set, and what to do when this is not the case. The focus is on the linear regression model.

Learning outcomes

After completed course the student shall be able to
- demonstrate knowledge of statistical theory and methodology, especially related to frequently occurring problems in economic applications
- apply the classical linear regression model
- specify simple econometric models
- estimate the economic models for cross-sectional and time series data
- interpret the results of an existing estimation
- account for the limitations and potential sources of error in the analysis
- present the results of the tests.

Course content

General description of econometric models and their application in economics. Linear regression models with one or more explanatory variables. Estimation and inference. Heteroscedasticity and autocorrelation. Multicollinearity. Measurement error. Dummy variables as explanatory / dependent variables.

Tuition

Lectures, demonstrations and computer labs.

Specific requirements

30 credits in Economics (at least 22,5 credits finished when the course starts), 15 credits in Statistics. In addition, English B/English 6, equivalent to TOEFL test result, minimum score 575 with a TWE score of at least 4,5 (PBT) or 90 with a TWE score of at least 20 (iBT)/IELTS test result with an overall band score of minimum 6,5 and no band score below 5,5.

Examination

Exercise (PM01), 1.5 credits, marks Pass (G)
Examination (TEN1), 6 credits, marks Pass (G) or Pass with distinction (VG)
 

A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.

Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.

Study guide

Grade

Three-grade scale

Interim Regulations and Other Regulations

The course raplaces NAA105 Econometrics 7,5 credits and overlaps 7,5 credits with each of the courses EN0290 Econometrics och ENA008 Econometrics.