MICROECONOMETRICS

ECM4MES

Not currently offered

Credit points: 15

Subject outline

In this subject, students develop skills for econometrically analysing microeconomic units i.e. individuals and firms. First, students learn about the econometrics of (public or private) program evaluation. Second, techniques for analysing panel datasets of large number of individuals over short periods of time are covered. Both of these topics extend how techniques covered in ECM2IE are used. In the third topic, substantially different techniques for analysing problems where the decision variable is discrete or truncated are introduced. Individual heterogeneity and endogeneity problems will be covered where relevant. Applications are drawn from industrial economics, finance, labour economics and marketing.

School: La Trobe Business School (Pre 2022)

Credit points: 15

Subject Co-ordinator: Joanna Poyago-Theotoky

Available to Study Abroad/Exchange Students: Yes

Subject year level: Year Level 4 - UG/Hons/1st Yr PG

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: ECO2EME OR ECM2IE

Co-requisites: N/A

Incompatible subjects: N/A

Equivalent subjects: N/A

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Learning resources

Microeconometrics: methods and applications

Resource Type: Book

Resource Requirement: Prescribed

Author: Cameron, A. Colin and Pravin K. Trivedi

Year: N/A

Edition/Volume: N/A

Publisher: UP

ISBN: 978-0521848053

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

Introductory econometrics: a modern approach

Resource Type: Book

Resource Requirement: Prereading

Author: Wooldridge, Jeffery

Year: N/A

Edition/Volume: N/A

Publisher: SOUTH-WESTERN

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Understand the econometrics of program evaluation.
02. Understand how to econometrically model and analyse panel data.
03. Understand how to econometrically analyse data which is discrete or truncated.
04. Understand the problems of identification and selection bias and their remedies.
05. Be able to perform econometric analyses using the above tools.
Subject not currently offered - Subject options not available.