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Re: st: question about negative binomial regression by Stata |

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Thu, 14 May 2009 19:04:56 +0200 |

From an empirical researcher who almost never heard about statistics but has some knowledge of Stata and user-written commands: (0) Use -xtpoisson-: the likelihood ratio test at the bottom of the results' table is a test of the overdispersion parameter alpha. When the overdispersion parameter is zero, the negative binomial distribution is equivalent to a Poisson distribution. If the test is significant, then alpha is significantly different from zero and the Poisson distribution is not appropriate. (1) -xtnbreg- will work with unbalanced panels, too (in my panel, Obs per group: ranges from 3 to 15, with a avg of 13,3) (2) I don't know almost any test for panels in Stata (but a few for -xtreg-) about the problems you mention. Even if they exist and they find a problem, there are almost no alternative panel and count commands to -xtnbreg- that may solve the problem. (3) I don't know any count version for the -xtabond- command and the like in Stata Sorry for not being so much useful, Nicola P.S. I'll NOT receive/read any email but the Digest. At 02.33 13/05/2009 -0400, Weijia You wrote: >Dear colleagues, > >I have several questions about building negative binomial regression model in Stata, thank you for your comments and suggestion! > >The dependent varibles yit ranges from 1 to 828 with mean of 44.24 and std. Dev. of 52.75. From the baisc info of the data set, I decide to use negative binomial regression. I don't know if the data of this type meets the requirement of using negative binomial regression? > >A lot of problems rise immediately when I get down to the analysis. >1,is unbalanced data acceptable for this type of model(negative binomial regression)? > >2,should I consider the collinearity/ heterogeneity/ autoregression/ autocorrelation ? >for collinearity, is VIF still suitable for this model? which command should I use? Is variate-covariant matrix helpful in figuring out the related independent variable? >for heterogeneity, it is recommended to use xtgls(xtgls depvar [indepvars], igls panels(heteroskedastic)). Is the result meaningful for xtnbreg? >for autocorrelation, "xtserial implements a test for serial correlation in the idiosyncratic errors of a linear panel-data model". As I know, xtnbreg is not a linear panel-data model. So I wonder, which command should I use to do this part of work. >for autoregression, I don't know how to test and how to correct if necessary. "Xtregar is Fixed- and random-effects linear models with an AR(1) disturbance". The linear here also qenches me. > >3,what about the combination of dynamic panel data model with the negative binomial regression? I havn't found any clues about that yet. > >Thank you again for your patience. >Any comment or suggestion will be much appreciated. > >Best! * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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