ETC4341 - Applied econometrics

Leader: Mr John Stapleton

Offered

Clayton First semester 2007 (Day)

Synopsis

This unit presents econometric models and techniques that are widely used in modern applied econometrics. Emphasis is placed on models that address the special problems that arise when analysing microeconomic data, that is, data at the level of individual consumers, households and firms. The topics covered include modelling discrete dependent variables, modelling data sets that have both a cross-section and a time-series dimension and conducting inference in models in which the dependent variable is jointly determined with one or more of the regressors. The models taught in this unit are widely used in empirical work in economics, finance and marketing.

Objectives

The learning objectives of this unit are to:

• conduct statistical inference in statistical models with a binary dependent variable;
• conduct statistical inference in statistical models with one or more endogenous explanatory variables;
• conduct statistical inference in a system of simultaneous equations;
• conduct statistical inference on data that has both a time series and a cross section dimension.

Assessment

Written assignments - computing and reports: 40%
Examination (2 hours): 60%

Contact hours

Two 1-hour lectures and one 2-hour tutorial per week

Prerequisites

ETC2400 or ETC2410