The Institute for Political Methodology (IPM) 2016 will be held from July 13 to July29, 2016, in Taipei. The IPM provides a unique opportunity for graduate students and junior faculty to receive quantitative training and to meet distinguished methodologists.
This year we are pleased to announce that the Prof. Chris Wlezien (Dept. of Government, the University of Texas at Austin), Prof. Jude Hays (Dept. of Political Science, University of Pittsburgh), Prof. Takeshi Iida (Dept. of Political Science, Doshisha University) and Prof. Kwang-Il Yoon (Dept. of Political Science and International Relations, SookMyung Women’ s University)will join us. The main theme for the IPM 2016 is “Time-series and Longitudinal Data and Analysis”. In addition, a number of core courses are also offered each year, including regression, categorical data analysis, and introductions to Stata and R. The activities of the IPM course include lectures, tutorials, practicals, and presentations. The courses are all in English. Further information is available on the IPM website: http://www.ipmasia.org(Open a URL in a new tab).Please register before May 1, 2016
The number of participants will be limited to 20. International participants are responsible for their own airfare and the IPM will provide accommodation. The registration date is from April 1 to May 1. All registration needs to be completed online. If you have any further questions, feel free to contact us. Join us!
here are two main parts in the IPM course: core statistical courses and theme courses. The main theme of this year is Time-series and Longitudinal Data and Analysis. The total class hours are 97 (13 days), including lectures, tutorials, practicals and presentations. The courses are all in English.
The course this year are listed below:
●Core Course:
1.Bayesian Statistics
2.Categorical Data Analysis
3.Causal Inference: Regression Discontinuity (RD) Designs
4.Event Count Models
5.Game Theory
6.Introduction to Statistics Using STATA and R
7.Maximum Likelihood Estimation
8.Multiple Regression
9.Proposal Writing
10.Understanding the p-value
●Theme Course:
1.Error Correction Models
2.Non-Stationary Processes and Unit Root Tests
3.Stationary Time Series Regression & ARIMA Models
4.Time-series Cross-sectional Data Analysis
5.Vector Autoregression
Here are the lecturers and courses of the 2016 IPM:
●Chris Wlezien- Non-Stationary Processes and Unit Root Tests/ Error Correction Models
●Jude Hays- Time-series Cross-sectional Data Analysis
●Tse-min Lin- Stationary Time Series Regression & ARIMA Models/ Vector
●Autoregression/ Understanding the p-value
●T.Y. Wang- Categorical Data Analysis/ Proposal Writing
●Eric Chang- Multiple Regression II
●Takeshi Iida- Special Talk I
●Kwang-Il Yoon- Special Talk II
●Chi Huang- Causal Inference: Regression Discontinuity (RD) Designs
●Jih-wen Lin- Game Theory
●Alex Chang- Lab-Stata
●Wen-chin Wu- Maximum Likelihood Estimation
●Kuang-hui Chen- Multiple Regression I
●Yen-pin Su- Event Count Models
●Tsung-han Tsai- Bayesian Statistics/ Understanding the p-value
●Yi-ting Wang- Lab-R
Please register at: http://www.ipmasia.org/sem/actnews.php(Open a URL in a new tab)
(before May 1, 2016)
Yu-jhen Chen. Tel: (02) 8170-5125 #6759
E-mail: cyjhen@gate.sinica.edu.tw
