This course will provide students with an introduction to advanced topics in survey data analysis. In Survey Data Analysis DEMO8014 students are introduced to basic multivariate statistical methods for analysing survey data. The present course will provide several important extensions: (1) dealing with sample selection bias and endogeneity bias in survey data (instrumental variable regression and Heckman selection correction); (2) using panel data to control for unobserved heterogeneity (fixed effects and random effects models); (3) modelling the time to an event (survival analysis) and (4) multi-level modelling for hierarchical or clustered data. Participants will gain experience in using the Stata statistical software package to apply these methods to survey data.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
By the end of this course, students should be able to:
- Identify when sample selection bias and endogeneity bias are likely to be significant problems in cross-sectional data, what are their impacts, and how to control for them.
- Understand how panel data can be used to control for unobserved heterogeneity (a potential cause of endogeneity bias in cross-sectional data).
- Know how to model the dynamics of cross-sectional populations using survival analysis.
- Recognise the hierarchical/clustered structure of many social science
datasets and the advantages of multi-level models for working with such
data.
Indicative Assessment
Four tutorial exercises/assignments (15% each)
One written examination (40%)
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Workload
One ninety minute lecture and one ninety minute tutorial / computer training session each week.Prescribed Texts
Jeffrey Wooldridge: Introductory Econometrics: A Modern Approach, 4th Edition
Sophia Rabe-Hesketh and Anders Skrondal: Multilevel and Longitudinal Modeling Using Stata
Mario Cleves, William W. Gould, Roberto G. Gutierrez, and Yulia Marchenko: An Introduction to Survival Analysis Using Stata, 2nd Edition
Specialisations
Fees
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- 1
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2016 | $3480 |
- International fee paying students
| Year | Fee |
|---|---|
| 2016 | $4638 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
