200-level

ECON213
Introduction to Econometrics
Description
This course teaches basic skills in econometrics, which is the statistical analysis of economic data. You will learn how to (i) develop a regression model, (ii) estimate it, and (iii) interpret it. General topics that we will cover include OLS regression, prediction, dummy variables, model specification, model selection, robust standard errors, time series forecasting, endogeneity, and qualitative choice models (logit and probit). Two thirds of the course utilizes the statistical software package Eviews and emphasizes application. The remainder teaches the mathematics behind the estimation procedures.
Occurrences
Semester One 2024
Points
15 points
Prerequisites
(1) ECON104 or ECON105; and (2) 15 points from STAT. RP: MATH101 or Year 13 Math with Calculus.
Restrictions
ECON214
ECON214
Data Analytics for Business Economics
Description
This course teaches basic skills in econometrics, which is the statistical analysis of economic data. You will learn how to (i) develop a regression model, (ii) estimate it, and (iii) interpret it. General topics that we will cover include OLS regression, prediction, dummy variables, model specification, model selection, robust standard errors, time series forecasting, endogeneity, and qualitative choice models (logit and probit). Two thirds of the course utilizes the statistical software package Eviews and emphasizes application. The remainder teaches EXCEL skills.
Occurrences
Semester One 2024
Points
15 points
Prerequisites
(1) ECON104 or ECON105; and (2) 15 points from STAT
Restrictions
ECON213

Not Offered Courses in 2024

300-level

ECON314
Economic Analysis of "Big Data"
Description
With the decrease of the cost of storing data, both the size and the variety of available data has increased dramatically. In this course, we will discuss how such 'big data', and the 'artificial intelligence' that may result from it, is affecting both the economy itself and how the economy can be analysed. We will analyse the impact of big data and artificial intelligence on the economy through various examples of how businesses and governments can benefit from big data and artificial intelligence, but also of how big data and artificial intelligence can be abused by them. We also discuss how big data and artificial intelligence has created new ways to analyse the economy, by providing new ways to collect data (for example, web scraping) and by creating new types of data (for example, Google Trend/Correlate data, Text data and Image data) that can be used to analyse the economy.
Occurrences
Not offered 2024, offered in 2019 , 2020 , 2021 , 2022 , 2023
For further information see ECON314 course details
Points
15 points