Econometrics and Applied Statistics

ECON 8002AEF

Course Guide

ECON 8002AEF

Course Guide

Econometrics and Applied Statistics

Course Start Date

N/A

Course Level

N/A

Length in Terms

N/A

Credits

N/A

Language

N/A

Fees ($) (including lab fees)

N/A

Future Terms

Quota and Schedule

Course Start Date	Course Level	Length in Terms	Credits	Language	Fees ($) (including lab fees)	Future Terms
N/A	N/A	N/A	N/A	N/A	N/A

Quota and Schedule

Course Coordinator:

Dr Thomas Chan, BCogSci (HKU); MA (Boston College); PhD (Boston College)

Aims

This course deals with quantitative model building and statistical skills which students will find useful in economics, marketing, risk management and investment. It aims to teach students how to use statistical techniques to estimate and test hypotheses in business and economics. Students will learn how to create a statement of theory or a hypothesis, how to collect data and how to specify economic and business models. Students will also learn how to estimate the parameters of their chosen forecasting model, check for model adequacy, and test the hypotheses derived from the model. The emphasis is on the application of econometric methods to the analysis of real world economic data using advanced statistical software.

Contents

The course covers the following topics:

An overview of regression analysis and ordinary least squares
Learning to use regression analysis and running a regression project
The classical model and hypothesis testing
Specification: Choosing the independent variables
Specification: Choosing a functional form
Multicollinearity
Serial correlation
Heteroskedasticity
Dummy dependent variable techniques
Simultaneous equations
Selected topics in econometrics methodology

Assessment

There will be one assignment, one midterm test and one individual term paper. The final examination will account for the remaining 50% of the total course score. Students are required to submit assignments via the Online Learning Environment (OLE).

Set book(s)

Lee C. Adkins and R. Carter Hill (2016), Using STATA for Principles of Econometrics, Fifth Edition, John Wiley & Sons.

Hayashi, Fumio. (2000), Econometrics. Princeton, NJ: Princeton University Press.

Joshua D. Angrist and Jörn-Steffen Pischke (2009), Mostly Harmless Econometrics – An Empiricist's Companion, Princeton University Press.