University of Melbourne - ECOM30002: Econometrics 2 (Solutions)

Extensions of the multiple regression model are examined. Topics include causal and statistical interpretations of regression models, instrumental variables, panel data and time series regression models and relevant statistical theory.

✔ On successful completion of this subject, students should be able to:

• Explain various problems of interpretation of causal estimates in regression and how the problems may be addressed using instrumental variables;

• Apply least squares methods to estimation and inference for linear regression models with panel data;

• Apply least squares to estimation, inference and interpretation for single and multiple equation models for stationary and non-stationary time series data;

• Derive, simulate and interpret statistical properties of least squares estimators in these settings; and

• Formulate hypotheses about economic phenomena, collect real-world data, apply econometric methods to test hypotheses, and draw evidenced-based conclusions or implications for economic theory and/or public policy.

SUBJECT CODE

SUBJECT NAME

ACCT10001

Accounting Reports and Analysis

ACCT10002

Introductory Financial Accounting

ACCT20001

Accounting for Management Decisions

ECOM20001

Econometrics 1

ECOM30001

Basic Econometrics

ECOM30002

Econometrics 2

ECON10003

Introductory Macroeconomics

ECON10004

Introductory Microeconomics

ECON10005

Quantitative Methods 1

ECON20002

Intermediate Microeconomics

ECON20003

Quantitative Methods 2

FNCE20005

Corporate Financial Decision Making

FNCE30001

Investments

FNCE30007

Derivative Securities

FNCE40001

Advanced Corporate Finance

MAST10010

Data Analysis

MAST20005

Statistics