ÄãºÃ£¬»¶Ó­À´µ½¾­¹ÜÖ®¼Ò [µÇ¼] [×¢²á]

ÉèΪÊ×Ò³ | ¾­¹ÜÖ®¼ÒÊ×Ò³ | Êղر¾Õ¾

΢¹Û¼ÆÁ¿¾­¼Ãѧ¸ß¼¶ÑÐÐްࡪ¡ªÀëÉ¢ºÍ¾ÖÏÞÏàÒÀ±äÁ¿Ä£ÐÍ

·¢²¼Ê±¼ä£º À´Ô´£ºÈË´ó¾­¼ÃÂÛ̳
ÊڿνÌÊÚ£ºÀîÍ®£¨Tong Li£©£º·¶µÂ±È¶ûÌØ´óѧ¾­¼Ãϵ½ÌÊÚ¡¢Ö÷ÈΣ¬¼æÈÎÖйúÈËÃñ´óѧ΢¹Û¼ÆÁ¿Óëʵ֤·½·¨Ñо¿ÖÐÐÄÖ÷ÈΡ£
ʱ¼äºÍµØµã£º
7ÔÂ10ÈÕ ÐÇÆÚÈÕ8:30-11:30 ¹«¹²½Ìѧһ¥1302ÊÒ
7ÔÂ11ÈÕ ÐÇÆÚÒ»14:00-17:00Ã÷µÂ·¨Ñ§Â¥201ÊÒ
7ÔÂ16ÈÕ ÐÇÆÚÁù14:00-17:00Ã÷µÂ·¨Ñ§Â¥201ÊÒ

Text£º
J.M. Wooldridge, Econometric Analysis of Cross Section and Panel Data, Sec-
ond Edition, MIT Press, 2010.µã»÷ÏÂÔØ£ºconometric Analysis of Cross Section and Panel Data 2nd Edition.pdf£¬µã»÷ÏÂÔØ£ºEconometric Analysis of Cross Section and Panel Data.pdf

Course Outline£º

1. Models with Qualitative and Limited-dependent Variables:
Binary Choice Models; Bivariate and Multivariate Probit Models; Logit Mod-
els for Multiple Choices; Models for Ordered Data; Models for Truncated Data;
Models for Censored Data; Selection Problem; Models for Count Data; Duration
Models.
µã»÷ÏÂÔØ£ºModels with Qualitative and Limited-dependent Variables.rar
2. Simulation Based Inference and Bayesian Methods:
GHK; Importance Sampling; Basic Bayesian Techniques; MCMC.
µã»÷ÏÂÔØ£ºSimulation Based Inference and Bayesian Method.rar
¾­¹ÜÖ®¼Ò¡°Ñ§µÀ»á¡±Ð¡³ÌÐò
  • ɨÂë¼ÓÈë¡°¿¼ÑÐѧϰ±Ê¼ÇȺ¡±
ÍƼöÔĶÁ
¾­¹ÜÖ®¼Ò¾«²ÊÎÄÕÂÍƼö