ECON 3001 Applied Econometrics
Credit Points 10
Legacy Code 200054
Coordinator Gulay Avsar Opens in new window
Description This unit builds on the econometric methods of Economic Modelling. The focus is on the linear model in econometrics in its application to economic and financial time series. The emphasis is on learning by doing in small group workshops.
School Business
Discipline Econometrics
Student Contribution Band HECS Band 4 10cp
Check your HECS Band contribution amount via the Fees page.
Level Undergraduate Level 3 subject
Pre-requisite(s) MATH 2002 OR
ECON 3004
Learning Outcomes
On successful completion of this subject, students should be able to:
- Choose the appropriate econometric model to estimate in terms of: a.The theoretical foundations of the model; b.The empirical questions to be addressed, and; c.The nature of the data used to estimate the model
- Identify variations on the classical linear model when using data which is both cross sectional and time series.
- Explain issues of modelling with endogenous regressors.
- Estimate and interpret and test models with limited dependent variables.
- Estimate and interpret linear econometric models using modern time series methods.
- Estimate models with panel data and show how they are related to modern policy evaluation.
- Have developed proficiency in the use of STATA for econometric modelling.
Subject Content
Review of Topics in Regression Analysis
Discrete Dependent Variables:
Binary Response Model
The Tobit Model
Instrumental Variable Estimation:
Omitted Variables/Two Stage Least Squares
Errors in Variables Problem
Testing for Endogeneity and Overidentification
Regression Analysis with Time Series:
OLS, Serial Correlation and Heteroscedasticity
Distributed Lag Models/Unit Root
Spurious Regression/Error Correction Model
Discrete Dependent Variables:
Binary Response Model
The Tobit Model
Instrumental Variable Estimation:
Omitted Variables/Two Stage Least Squares
Errors in Variables Problem
Testing for Endogeneity and Overidentification
Regression Analysis with Time Series:
OLS, Serial Correlation and Heteroscedasticity
Distributed Lag Models/Unit Root
Spurious Regression/Error Correction Model
Teaching Periods