講義関連情報/Statistical Analysis of Food Security, 2018 のバックアップの現在との差分(No.1)

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* Statistical Analysis of Food Security [#m2028e06]
This page contains information on the course "[[Statistical Analysis of Food Security:http://hokkaidosummerinstitute.oia.hokudai.ac.jp/courses/CourseDetail=G081]]", which is offered as an elective course in Graduate School of Global Food Resources and a course for [[Hokkaido Summer Institute (HSI), 2017:http://hokkaidosummerinstitute.oia.hokudai.ac.jp/]].
This page contains information on the course "[[Statistical Analysis of Food Security:http://hokkaidosummerinstitute.oia.hokudai.ac.jp/courses/CourseDetail=G091]]", which is offered as an elective course in Graduate School of Global Food Resources and a course for [[Hokkaido Summer Institute (HSI), 2018:http://hokkaidosummerinstitute.oia.hokudai.ac.jp/]].

* Lecturers [#gf4aba20]
- [[Rickard Sandberg:https://www.hhs.se/sv/personsida/?personId=3561033]] (Stockholm School of Economics)
- [[Tomoaki Nakatani:https://researchmap.jp/naktom?lang=english]] (Yokohama City University)
- [[Yoko Saito:http://www.gfr.hokudai.ac.jp/staff/governance/yoko-saito/]] (Hokkaido University)

* Schedule [#xefb1df8]
- 20/Aug/2018 - 23/Aug/2018
- 13:00 - 14:30 and 14:45 - 16:15

* Venue [#fa22cafa]
- Room F317, Food Resources Research Building, Faculty of Agriculture
- [[Location:http://www.gfr.hokudai.ac.jp/#access]]

* Course Outline [#ib13bf72]
- Please visit [[the HSI 2018 Web page:http://hokkaidosummerinstitute.oia.hokudai.ac.jp/courses/CourseDetail=G091]].


* Text Books [#nf8b6dfa]
- Verbeek (2012) A Guide to Modern Econometrics, 4th edn., Wiley.
- Kleiber and Zeileis (2008) Applied Econometrics with R, Springer.

* Reading Materials [#y10bc3a3]
- Students are strongly requested to read through the chapters 8 and 9 of Verbeek (2012) in advance of lecture.
 
* Homework Assignments [#ua045fa7]
- To be announced.
 
* Remarks [#r5ceebb4]
- In this course, [[the free statistical environment R:https://www.r-project.org/]] is intensively used. Using an integrated development environment (IDE) called [[RStudio:https://www.rstudio.com/]] provides you a convenient working environment for data handling and programming.
-- Installing R and RStudio to your PC
--- Follow [[the instruction:http://socserv.mcmaster.ca/jfox/Courses/R/ICPSR/R-install-instructions.html]] given by [[Professor John Fox:http://socserv.mcmaster.ca/jfox/]].




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