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[[講義関連情報]]に戻る * 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), 2018: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/]]. ----- 今までにこのページを見た人は、&counter;人です。
