econ304 1 intro 2016/1

Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria

1. Introduction to Economic StatisticsECON304 (Economic Statistics)

Pairach Piboonrugnroj, PhD

Faculty of Economics, Chiang Mai Universityme (at) pairach (dot) com

Semester 1 of 2016 (Fall)

This course is a part of Bachelor of Economics at Chiang Mai University, Thailand

Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University

ECON304 - 01. Introduction to Economic Statistics

mailto:[email protected]


Outline

What we will learn in this course1 Basic information2 Course description3 Course lecturer4 Course materials5 Contents6 Assessment7 Grading criteria




Basic information

What you need to know about this course

Day and Time:Sec 003: Tu-F 09:30 - 11:00 AM (No entry after 9:40 hours)Sec 004: TuF 11:00 - 12:30 AM (No entry after 11:10 hour)

Room:

ECB1403 (Sec003) and ECB1401 (Sec004)

Prerequisite

751102 and 208272 and 206172 and consent of thefaculty

Midterm Exam:5th October 2016, 12:00-15:00

Final Exam:3rd December 2016, 12:00 - 15 hours




Course basic information

What you need to know about this course

This course is intended to emphasize the application ofstatistics to economic analysis: index numbers, time series,correlation and regression analysis, the method of leastsquares, simple and multiple regression.




Course lecturer

Who is teaching you

Pairach Piboonrungroj, PhDDirectorSupply Chain Economics Research Centre(SCERC)Faculty of Economics, Chiang Mai University

Contacts

Email: [email protected]

Facebook: fb.com/piboonrungroj

Twitter: @champ pairachTeaching Assistant (TA): Miss Pimpika Chawalit (Khing)



mailto:[email protected]

http://www.facebook.com/piboonrungroj

https://twitter.com/Champ_Pairach


Course materials

Main e-textbook

Piboonrungroj, P. (2015)‘‘Economic Statistics with R”.Eduwisor Press: Chiang Mai.

Course webpage:

www.pairach.com/econ304




Contents

There are 30 classes. Each of 1 hour and 30 minutes. Eachtopics will be introduced and discussed in two lectures, thenfollowed by 2 classes of computer programming practices(with R language).

Contents Assignment/Quiz

Introduction to the course Pre-testIndex numbers (counting methods) Quiz 1Time series (trend & seasonal decomposition) Assignment 1Midterm Exam

Correlation (different types) Quiz 2Regression analysis (foundation and assumption) Course project explainedThe method of least squares (OLS) Quiz3Simple regression (procedure) Quiz4Multiple regression (model development) Course project submittedConclusion




Contents

There will be an additional classes to cover the computerprogramming. Here are the potential dates. Please makeyourself available.

3rd September 2016

24th September 2016

22th October 2016

12th November 2016

26th November 2016




Assessment

Students will be assessed their understanding and ability toapply statistics methods in economics by five approaches asfollowing:

Method Marks Details

Quizzes 10 % 4 quizzes on index number, correlation, OLS andregression, each 5%

Midterm

exam

30 % Philosophy of Econonomic Statistics, Index num-ber and Time series and correlation

Final exam 30 % Regression analysis, OLS, Single and multiple re-gression

Course

project

20 % Select one topic and analyse the data using themethods learned in the course

Participation 10 % How students engage with the class e.g., Q&A andattendance record




Grading criteria

Grade MarksA 80-100B+ 75-79B 70-74C+ 65-69C 60-64D+ 55-59D 50-54F 0-49

Grade totally judged by thresholds, no mean or normaldistribution associated

No grad request accepted

Decimal number of greater than or equal to 0.5 will be roundedup




Good luck!

Q&A



econ304 1 intro 2016/1

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