講義関連情報/Statistical Analysis of Food Security, 2017 のバックアップの現在との差分(No.6)

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講義関連情報/Statistical Analysis of Food Security, 2017 へ行く。
- 1 (2016-09-29 (木) 11:33:48)
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- 6 (2016-12-08 (木) 14:07:38)
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* Statistical Analysis of Food Security [#o5960ca1]
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", which is offered as an elective course in Graduate School of Global Food Resources and a course for Hokkaido Summer Institute (HSI), 2017.

* Lectures [#g9a0ba89]
* Lecturers [#g9a0ba89]
- [[Rickard Sandberg:https://www.hhs.se/sv/personsida/?personId=3561033]] (Stockholm School of Economics)
- [[Tomoaki Nakatani:http://www.gfr.hokudai.ac.jp/staff/governance/tomoaki-nakatani/]] (Hokkaido University)

* Schedule [#kfe3a50c]
- 28/Aug/2017 - 31/Aug/2017 (tentative)
- 28/Aug/2017 - 31/Aug/2017
- 13:00 - 14:30 and 14:45 - 16:15

* Venue [#k1518de7]
- To be announced.
- Room F317, Food Resources Research Building, Faculty of Agriculture
- [[Location:http://www.gfr.hokudai.ac.jp/#access]]


* Course Outline [#xc323603]
- Please visit [[the HSI 2017 Web page:http://hokkaidosummerinstitute.oia.hokudai.ac.jp/courses/CourseDetail=G081]].
- Please visit the HSI 2017 Web page. (no longer available)


* Text Books [#hc1b0522]
- Verbeek (2012) A Guide to Modern Econometrics, 4th edn., Wiley.
- Kleiber and Zeileis (2008) Applied Econometrics with R, Springer.

* Reading Materials [#a0ef6a4b]
- To be announced.
- Students are strongly requested to read through the chapters 8 and 9 of Verbeek (2012) in advance of lecture.
 
* Homework Assignments [#b5de8834]
- To be announced.
 
* Remarks [#pfc6b798]
- Details will be updated in due course.
- 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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