| Unit name | Applied Quantitative Research Methods |
|---|---|
| Unit code | EFIM20010 |
| Credit points | 20 |
| Level of study | I/5 |
| Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
| Unit director | Professor. Stephanie von Hinke |
| Open unit status | Not open |
| Pre-requisites |
EFIM10008 Mathematical and statistical methods 1 |
| Co-requisites |
None |
| School/department | School of Economics |
| Faculty | Faculty of Social Sciences and Law |
This unit aims to provide students with a functional understanding of econometrics, and the ability to interpret econometric models in areas including, limited dependent variables, count variables, panel data, time series, cross-sectional data. Students should be able to interpret output from these models as well as showing knowledge of appropriate models to apply when presented with these data. Students will be expected to develop a small mathematical understanding of the underlying concepts behind Ordinary Least Squares.
Students will be able to:
1. Show a functional ability to interpret econometric output from a variety of econometric models
2. Recognise suitable econometric methods to address empirical questions covering categorical variables, continuous variables, panel data and time series.
3. Use computers to model empirical questions.
20 lectures
10 Exercise lectures
10 clinics
10 small group tutorials
Summative assessments.
3 hour examination at end of teaching block. This assesses the following learning objectives: Functional ability to interpret econometric output. Ability to recognise suitable econometric methods to address empirical questions.
Formative assessments through fortnightly tutorial classes. These will assess the following learning objectives: Ability to use computers to model empirical questions Ability to recognise suitable econometric methods to address empirical questions
Gujurati, Damodar. Econometrics by Example
