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POLIS: The Centre for Social Policy Research · ANU College of Arts and Social Sciences
This course provides students with an introduction to advanced topics in survey data analysis and 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. Students will gain experience in using the Stata statistical software package to apply these methods to survey data.
Tutorial exercises to be undertaken in class, each 30 minutes in duration, and each be a maximum of 400 words each (totalling 1600 words.) Tutorial exercise 1 (10%, LO 1) Tutorial exercise 2 (10%, LO 2) Tutorial exercise 3 (10%, LO 3) Tutorial exercise 4 (10%, LO 4)
Learning outcomes 1, 2, 3, 4
Small data analysis project (1800 — 2000 words)
Learning outcomes 1, 2, 3, 4
Take-home examination (2400 words)
Learning outcomes 1, 2, 3, 4
The mode of delivery for this course may be either in person or intensive: In person: 130 hours of total student learning time made up from: a) 36 hours of contact over 12 weeks: 18 hours of lectures and 18 hours of tutorials/computer training sessions. b) 94 hours of independent student research, reading and writing. Intensive: 130 hours of total student learning time made up from: a) 36 hours of lectures and tutorials taught intensively. b) 94 hours of independent student research, reading and writing. Other Information Students who have completed the prerequisite course(s) will already have been introduced to basic multivariate statistical methods for analysing survey data.
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