#
ECON2041

Introductory Econometrics

ECON2041 is rated by StudentVIP members:

### Textbooks

Sell your textbook for ECON2041### Notes

View all ECON2041 notes#### HIGH DISTINCTION ECON241 Introductory Econometrics Study Notes

Written by Michael

Comprehensive study notes based on Lecture and Workshop exercises, Tutorial and Homework questions a...

55 pages, 6492 words

### Tutors

Become a tutor for ECON2041#### Mike

$70 per hour

Taking Bookings for Sem 2, 2020 (Face to Face and ONLINE Available) Academic Tutor with HD average...

#### Sarah

$70 per hour

ONLINE TUTORING - Still taking Bookings for 2020 NOW Limited Spaces Available ALL my students PASS...

#### Steve

$65 per hour

University Employed Tutor at Macquarie University. Offering f2f or zoom tutoring. Completed: B Co...

#### Ryan

$70 per hour

A TOP-RANKED academic tutor & honours scholar with TOP REVIEWS, major in Finance, Accounting, & Econ...

#### Tony

$22 per hour

Results GUARANTEED || Professional || Exam Prep and Assignment Specialist || PhD Candidate I am...

#### Aaron

$70 per hour

Session 2 - 2020: both face-to-face and online sessions available. Any requests to sit exams with...

#### Jasmin

$20 per hour

Experienced & Affordable Tutor || Super Friendly || Results Guaranteed Hi everyone! My name is Ja...

#### Harsh

$40 per hour

As a current Masters of Finance student at UNSW, I have a deep understanding of Finance. I have mast...

#### Rena

$30 per hour

I was a Macquarie University Student and have studied Bachelor of Applied Finance. I have a friendly...

#### Jenny

$20 per hour

In need of an AWESOME tutor? Need to ACE that exam or assignment? ** I've worked in France as...

### Reviews

I really enjoyed this subject more than I thought I would. Chris takes a few weeks to get used to but once you do, content is explained well and makes sense. Good to pair with Afin2070 as they cover a lot of the same topics.

## Anonymous, Semester 2, 2020

Not a difficult unit. A very interesting one. Calculus is not needed but some maths are required (e.g. algebra, basic log and prob/stat). Assignments and quizzes rely heavily on lecture material. Furthermore, if you feel like you're struggling, I STRONGLY recommend the textbook (if you hate reading them like me, just skim to the sections you need more clarification in + txtbook questions are useful for more practice). This unit is one where if you put in the work, you'll definitely do well. It prepares you well for the final exam :) P.S. If Chris Heaton still runs the unit, lucky you.

## Anonymous, Semester 1, 2020

Introductory econometrics is exactly what it says. This unit will introduce you to the concepts of econometrics that will be built upon all the way into third year. This course begins with probability, not a very good introduction but enough for the unit, the rest of the unit is studying linear regression and then multiple regression. I highly recommend the text and reading it BEFORE the lecture. The text is very easy to read and makes the lectures more about using the software Gretl than just the theory. Exams and assignments will be heavy on Gretl so get a good understanding of how to use it in the tutorials and lectures. Not a terribly hard unit.

## Anonymous, Semester 2, 2017

Econ and stats in one

## Anonymous, Semester 2, 2017

Essentially regression. You learn simple & multiple regression in cross-sectional data context. Attempt the weekly quizzes & tutorial questions so you are familiar with the style of questions they often ask. Don't worry too much about the math if you don't intend to build a deep understanding of regression. Also, do all the recent past exams. One minus thing from me is the use of an outdated software. Other unis use STATA which is a lot more popular. Why not use that in this course?

## Anonymous, Semester 1, 2016

This unit introduces some basic econometric techniques, which are used extensively in marketing and finance. Topics covered will usually include: estimation and hypothesis testing; simple and multiple regression; prediction; the interpretation and evaluation of regression models, including an elementary discussion of nonlinear modelling, heteroscedasticity, auto-correlation, multicollinearity and specification error; and the use of categorical or qualitative data in regression models.

## Anonymous, Semester 1, 2014

Even this is the very fundamental econometric course, the emphasis is the statistical distribution ( normal distribution and student't distribution) and its application in the confidential interval, hypothesis test and parameters estimation.

## Anonymous, Semester 2, 2016

Its pretty practical. Gives a look inside an Economists life a bit. But very easy. But you still need to put in time and effort.

## Anonymous, Semester 2, 2015

Not as difficult as you think.

## Anonymous, Semester 2, 2014

pretty useful stuff