Principles of Econometrics 4E

Hill, R. Carter

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Principles of Econometrics 4E

Hill, R. Carter

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Using Econometrics

A. H. Studenmund

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Principles of Econometrics 4E

Hill, R. Carter

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Principles of Econometrics 4E

Hill, R. Carter

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Principles of Econometrics

R. Carter Hill, William E. Griffiths, Guay C. Lim

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Principles of Econometrics 4E

Hill, R. Carter

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Principles of Econometrics 4E

Hill, R. Carter

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ECON241 - INTRODUCTORY ECONOMETRICS - HIGH DISTINCTION NOTES

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High quality notes recently published which will greatly assist you in maximising your understanding...

72 pages, 8000 words

HIGH DISTINCTION ECON241 Introductory Econometrics Study Notes

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

55 pages, 6492 words

Summary notes on ECON241

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The notes contains summaries from past paper questions and summarized items appeared in the past exa...

5 pages, 1000 words

Ryan

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* Ranked 1st in many accounting & economics subjects, combined with extensive teaching experience ac...

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Students will receive weekly printed notes for the week's topic and problems that can be gone throug...

Oliver

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Reviews

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 One minus thing from me is the use of an outdated software.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

Anonymous, Semester 1, 2014