MONASH UNIVERSITY 
ETC3410: Applied econometrics 
* Final Examination Guide and Notes 2024 
 
- Part 01. About This Guide 
- Part 02. Sample Final Examination Paper 
- Part 03. Suggested Solutions to Final Exam Paper 
- Part 04. Final Examination - Hints and Tips 
 
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Monash University - ETC3410: Applied econometrics (Solutions)

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ACADEMIC YEAR 2023 - 2024

University	Monash University
Faculty	Business and Economics
Unit Code	ETC3410
Unit Name	Applied econometrics
Notes Title	Final Examination Guide and Notes
Format	PDF
Page Length	28

* Prepare for the ETC3410: Applied econometrics, Monash University - Final Examination 2024 with the most complete exam guide available for this unit, including exam-style questions and advice on common examination pitfalls. You will get with a clear picture of how the final exam will be assessed, and how it is structured, as well as the likely style and range of questions that you could see in the real final exam. The purpose of this guide is to provide a logical structure for the topics that make up the unit, to emphasise and explain the important concepts and methods in each topic; and to provide initial examples to which the concepts and methods are applied.

- 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.

✔ Learning Outcomes:

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

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ACF3100	Advanced financial accounting
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BFF2140	Corporate finance 1
BFF2401	Commercial banking and finance
BFF3121	Investments and portfolio management
BFF3751	Derivatives 1
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BTF3931	Taxation law
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ECF1100	Microeconomics
ECF1200	Macroeconomics
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ETF1100	Business statistics
ETF2100	Introductory econometrics
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Monash University - ETC3410: Applied econometrics (Solutions)

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