Monash University Handbook 2010 Undergraduate - Unit

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 goals associate with this unit are to:

• conduct statistical inference in statistical models with a binary dependent variable (LOGIT and PROBIT models);
• conduct statistical inference in statistical models with a limited dependent variable (TOBIT and Censored Regression models);
• 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 a time series dimension.

Assessment

Within semester assessment: 40%
Examination (2 hours): 60%

Chief examiner(s)

Santha Vaithilingam

Contact hours

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

Prerequisites

ETW2410