TA session
Notes and Supplements
2017/10/12 MLE / Discrete Choice Model
2017/10/19 Discrete Choice Model
2017/10/26 Nested Logit Model / Truncated Regression Model / Tobit Model ( R code sample )
2017/11/9 Count Data Model / Panel Data ( R code sample,1 ,2, 3 )
2017/11/16 Panel Data / GMM
2017/11/30 Robust Standard Error / MM / IV / 2SLS
2017/12/7 Time Series Analysis
2017/12/14 AR model (Phytson code sample)
2018/01/11 MA Model / ARMA Model
2018/01/18 Prediction
2018/01/25 Q&A