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.2)

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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)
- 2 (2016-09-29 (木) 11:53:14)
- 3 (2016-10-04 (火) 09:54:29)
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- 5 (2016-12-05 (月) 20:19:51)
- 6 (2016-12-08 (木) 14:07:38)
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- 8 (2017-08-17 (木) 11:07:37)

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* Statistical Analysis of Food Security [#o5960ca1]
This page contains information on the course "Statistical Analysis of Food Security". 
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]
- RIckard Sandberg (Stockholm School of Economics)
- Tomoaki Nakatani (Hokkaido University)
* 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
- 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]
- To be announced
- Please visit the HSI 2017 Web page. (no longer available)


* Text Books [#hc1b0522]
- Hamilton (1994) Time Series Analysis, Princeton University Press.
- Verbeek (2012) A Guide to Modern Econometrics, 4th edn., Wiley.
- Kleiber and Zeileis (2008) Applied Econometrics with R, Springer.

* Reading Materials [#a0ef6a4b]
- 
- 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]
- 
- 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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