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From |
Jesper Sorensen <[email protected]> |

To |
[email protected] |

Subject |
Re: st: RE: Negative Binomial Models |

Date |
Wed, 13 Oct 2004 20:07:20 -0400 |

I haven't read the Maddala, but my impression is that it is not a matter of should or should not, but rather that when the expected mean is sufficiently high, the poisson and neg binom start to look at lot like the normal distribution, and hence you are just as well off using OLS etc. Scott Long has a nice demonstration of this in his book on LDVs. Of course, having a couple of cases with high counts doesn't mean that the mean is high.

//Jesper

Should or should not? I'd like to hear the grounds for that. I find it difficult to believe that any such criterion tenet aquam. You should use a negative binomial distribution whenever fitted probabilities are close to observed probabilities. The underlying frequencies are not that germane. But if the total number of individuals in the sample is large, at least some cell frequencies are likely to be. In fact, to get a good handle on probabilities in the tail, a very large sample is a really good idea. I'm interested in comments on this. If you type . ssc type nbfit.hlp there's a worked example in which the peak frequency was 807. Nick [email protected]-----Original Message-----

From: Nick Cox

Sent: 14 October 2004 00:38

To: '[email protected]'

Subject: RE: Negative Binomial Models

Nick

[email protected]

> -----Original Message-----

> From: [email protected]

> [mailto:[email protected]]On Behalf Of MacDonald,

> John

> Sent: 14 October 2004 00:23

> To: [email protected]

> Subject: st: Negative Binomial Models

>

>

> Is there a maximum number of counts one should not exceed

> when using the negative binomial model? Even if there is a

> adjustment for exposure (e.g., rate of homicides in a city). > I have a data set with over 200 homicides in some cities and

> I saw a reference in an article of American Journal of

> Sociology to Maddala's 1977 econometrics textbook that said

> you should exceed 50 counts. Is this true?

>

>

>

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**References**:**st: RE: Negative Binomial Models***From:*"Nick Cox" <[email protected]>

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