|Year of offer||2019|
|Fees||Subject EFTSL, Level, Discipline & Census Date|
This subject provides an advanced discussion of the main techniques used in macroeconometric analysis. The topics covered in this course will be selected from the following broad areas: (1) Univariate analysis of stationary and non stationary series including ARIMA possesses, unobserved components models, business cycle turning point extraction, regime switching and time varying volatility. (2) Estimation of single equation models with a focus on Euler equations that emerge via optimisation. (3) Estimating multiple equation models including reduced form and structural VARs and factor models. In covering these topics the course will focus on developing the skills to undertake rigorous applied macroeconometric research. Particular attention will be paid to the issues that arise when the time series being studied is non-stationary. Successful completion of the course will require use of the computer language GAUSS.
Intended learning outcomes
Information not available.
High level of development: problem solving; statistical reasoning; application of theory to practice; interpretation and analysis; critical thinking; use of computer software; receptiveness to alternative ideas.
Moderate level of development: oral communication; written communication; collaborative learning; team work; synthesis of data and other information; evaluation of data and other information; accessing data and other information from a range of sources.