ECON 8005AEF
ECON 8005AEF |
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DATA SCIENCE FOR PUBLIC POLICY ANALYST |
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Course Coordinator:
Dr Thomas Chan, B.Cog.Sci (HKU); MA, PhD (Boston College)
Compulsory Prerequisite(s)
ECON 8002AEF Econometrics and Applied Statistics
Aims
After completing the course, the student will be able to: (1) apply statistical concepts and methods to policy data and (2) interpret the results of estimation as to both mathematical properties and policy analysis. Students will learn maximum likelihood estimation, ordinary least squares (OLS) regression, instrumental variables (IV) regression, heteroscedasticity-consistent regression, fixed and random effects models, probit, logit and tobit models, and identification and two-stage least squares estimation of simultaneous equations models.
Contents
Assessment
There will be two assignments for 50% of the total course score. The final examination will account for the remaining 50%.
Online requirement
Students are required to submit assignments via the Online Learning Environment (OLE).
Set book(s)
Wooldridge, J. M. (2020). Introductory econometrics: A modern approach (7th ed.). Cengage Learning.
