# Modules

### NBS8331 : Introductory Econometrics

• Offered for Year: 2019/20
• Module Leader(s): Dr Grega Smrkolj
• Demonstrator: Miss Yichen Zhu
• Owning School: Newcastle University Business School
• Teaching Location: Newcastle City Campus
##### Semesters
 Semester 1 Credit Value: 10 ECTS Credits: 5.0

#### Aims

The module seeks to:
- explain how econometrics have been used and can be used to test theories in economics and finance literature
- provide a comprehensive set of fundamental technical skills necessary to pursue empirical research in economics and finance
- offer the opportunity to develop some key quantitative skills that are highly valued in the private sector

The module covers essential material from probability theory, data description, hypothesis testing, and regression analysis with a particular focus on the analysis of cross-sectional data.

#### Outline Of Syllabus

1. Simple Regression Model: population versus sample regression function, the method of Ordinary Least Squares (OLS), assumptions of the classical linear regression model, obtaining and interpreting the OLS estimates, statistical properties of estimators, measures of fit
2. Classical Normal Linear Regression Model: hypothesis testing and confidence interval estimation.
3. The problem of Statistical Inference: Type I and Type II errors, the power of a test.
4. Extensions of the linear regression model: regression through the origin, units of measurement, standardization, logarithmic and semi-logarithmic models.
5. Multiple Regression Model: restricted least squares, tests for multiple linear restrictions.
6. Dummy Variable Regression Models: describing qualitative information, qualitative regressors, analysis of variance (ANOVA) models, regression with a mixture of quantitative and qualitative regressors (ANCOVA models).
7. Relaxing the assumptions of the classical model â€“ multicollinearity, non-normality, heteroskedasticity, and serial correlation: consequences, detection, and robust inferences in their presence.

#### Teaching Methods

##### Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion130:0030:00N/A
Scheduled Learning And Teaching ActivitiesLecture82:0016:00N/A
Guided Independent StudyDirected research and reading125:0025:00N/A
Scheduled Learning And Teaching ActivitiesPractical21:002:00N/A
Scheduled Learning And Teaching ActivitiesSmall group teaching21:002:00N/A
Guided Independent StudyIndependent study125:0025:00N/A
Total100:00
##### Teaching Rationale And Relationship

-Lectures provide the fundamental technical structure of the methods introduced and an overview of the essential empirical economic and financial modelling methods
- Seminars provide an opportunity to enhance both theoretical and practical aspects of modelling
- Workshops provide hands-on computer based experience of modelling exercises.

#### Assessment Methods

The format of resits will be determined by the Board of Examiners

##### Exams
Description Length Semester When Set Percentage Comment
Written Examination901A100N/A
##### Exam Pairings
Module Code Module Title Semester Comment
LBS8331Introductory Econometrics1London equivalent module
##### Formative Assessments
Description Semester When Set Comment
Prob solv exercises1MOMBEA quizzes in lectures
Prob solv exercises1MGroup feedback on problem-based exercises in seminars and PC labs
Prob solv exercises1MSeminar questions provided
##### Assessment Rationale And Relationship

The written examination is an appropriate way to assess the theoretical understanding and problem solving skills under the time constraint as required in industry.