ECON214

Data Analytics for Business Economics

15 points

Not offered 2019, offered in 2018

For further information see Department of Economics and Finance

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.

Prerequisites

(1) ECON104 or ECON105; and (2) 15 points from STAT

Restrictions