tag:blogger.com,1999:blog-6288862798546085706.post8387891008567583490..comments2024-02-08T03:39:11.256-05:00Comments on Econometrics By Simulation: Incidental Parameters Problem with Binary Response Data and Unobserved Individual EffectsFrancishttp://www.blogger.com/profile/16658586705916884436noreply@blogger.comBlogger6125tag:blogger.com,1999:blog-6288862798546085706.post-32641038007006695962015-12-17T15:05:05.323-05:002015-12-17T15:05:05.323-05:00niceniceAllen jeleyhttps://www.blogger.com/profile/10312119051975318074noreply@blogger.comtag:blogger.com,1999:blog-6288862798546085706.post-30966315953659768242014-01-12T13:12:04.592-05:002014-01-12T13:12:04.592-05:00I always thank you for your positing! Hong from So...I always thank you for your positing! Hong from South Korea.Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-6288862798546085706.post-716829587233243082013-12-11T11:42:31.082-05:002013-12-11T11:42:31.082-05:00Hmm, well. I don't have any answers for you b...Hmm, well. I don't have any answers for you but I will hit the books and see what pops out.Francishttps://www.blogger.com/profile/16658586705916884436noreply@blogger.comtag:blogger.com,1999:blog-6288862798546085706.post-11055305827941653452013-12-11T11:35:40.380-05:002013-12-11T11:35:40.380-05:00Thank you for the suggestion. I tried using ave b...Thank you for the suggestion. I tried using ave but could not get it to work for me since I needed the function to return a vector for each group rather than a scalar. I did not try the by command.Francishttps://www.blogger.com/profile/16658586705916884436noreply@blogger.comtag:blogger.com,1999:blog-6288862798546085706.post-59854300402116279652013-12-07T16:46:17.988-05:002013-12-07T16:46:17.988-05:00Also, consider by() and ave() in base R as alterna...Also, consider by() and ave() in base R as alternatives to your gapply() function.Anonymoushttps://www.blogger.com/profile/00314366085292864951noreply@blogger.comtag:blogger.com,1999:blog-6288862798546085706.post-89419397820108057142013-12-07T16:23:44.267-05:002013-12-07T16:23:44.267-05:00I modeled the logit data with clogit(yl ~ x+strata...I modeled the logit data with clogit(yl ~ x+strata(id),fulldata,method="approximate") (i.e., conditional logit) from the survival package expecting to get the same results as your glm model with factor(id) included. However, the coefficient estimate for x was 0.22 (0.03).<br /><br />Any thoughts about this?Anonymoushttps://www.blogger.com/profile/00314366085292864951noreply@blogger.com