ECON214-18S1 (C) Semester One 2018

Data Analytics for Business Economics

15 points, 0.1250 EFTS
19 Feb 2018 - 24 Jun 2018

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.

Pre-requisites

(1)  ECON104 or ECON105 (2)  STAT101

Restrictions

Timetable 2018

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 12:00 - 13:00 A4 Lecture Theatre 19 Feb - 1 Apr
23 Apr - 3 Jun
Lecture B
Activity Day Time Location Weeks
01 Tuesday 14:00 - 15:00 Jack Erskine 031 Lecture Theatre 19 Feb - 1 Apr
23 Apr - 3 Jun
Lecture C
Activity Day Time Location Weeks
01 Tuesday 15:00 - 16:00 Jack Erskine 031 Lecture Theatre 19 Feb - 1 Apr
23 Apr - 3 Jun
Computer Lab A
Activity Day Time Location Weeks
01 Wednesday 12:00 - 13:00 Jack Erskine 248 Computer Lab 19 Feb - 1 Apr
23 Apr - 3 Jun
02 Friday 11:00 - 12:00 Ernest Rutherford 212 Computer Lab 19 Feb - 1 Apr
23 Apr - 3 Jun
03 Wednesday 11:00 - 12:00 Ernest Rutherford 212 Computer Lab 19 Feb - 1 Apr
23 Apr - 3 Jun

Course Coordinator

For further information see Department of Economics and Finance Head of Department

Indicative Fees

Domestic fee $790.00

International fee $3,350.00

* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.

For further information see Department of Economics and Finance.

All ECON214 Occurrences

  • ECON214-18S1 (C) Semester One 2018