Computational Statistics and Econometric Modelling - ECON4308

   
   
 
Course Outline: ECON4308 Course Outline
 
 
Campus: Kensington Campus
 
 
Career: Undergraduate
 
 
Units of Credit: 6
 
 
EFTSL: 0.12500 (more info)
 
 
Indicative Contact Hours per Week: 3
 
 
Enrolment Requirements:
 
 
Prerequisites: ECON3203 or ECON4207
 
 
Equivalent: ECON4106, ECON6308
 
 
Fee Band: 3 (more info)
 
 
Further Information: See Class Timetable
 
 

Description


The purpose of this course is to introduce computationally intensive statistical and econometric methods to carry out inference – estimation, hypothesis testing, confidence intervals and prediction – for complex models used in the Social Sciences. The course will provide an introduction to Bayesian inference using Markov Chain Monte Carlo simulation, simulated methods of moments estimation, and bootstrap methods. Examples and case studies of the application of the methodology will also be provided.