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From |
Nick Winter <[email protected]> |

To |
[email protected] |

Subject |
Re: st: collapse if at least X or more obs. per group are non-missing |

Date |
Wed, 25 Aug 2004 10:52:39 -0400 |

At 12:19 PM 8/24/2004 -0700, you wrote:

It has already been pointed out that you must give different names to your new variables with this solution.I'd like to convert a panel data set with annual country obs to one of decadal country averages, excluding those decadal averages for which 5 or more observations per country are missing within a decade. My first idea was to use a two step procedure along the lines of: 1. Run: collapse (mean) GDP (count) GDP , by(country decade) this should give me a) the decadal averages I want and b) the number of non-missing obs used to compute each of these decadal averages. 2. replace mean_GDP=. if count_GDP<5 (or whatever STATA will call these vars saving the means & counting the non-missing obs) this should set to missing those decadal averages for which 5 or more observations per country were missing within each decade.

Another way to go would be:

. bysort country decade: generate N = _N

. collapse GDP if N>5

This would be appropriate, obviously, if you only need the count in order to drop the ones you don't want; if you need it for other things then go ahead with the original twostep procedure.

Nick WINter

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Assistant Professor 607.255.4530 f

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Cornell University

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**References**:**st: collapse if at least X or more obs. per group are non-missing***From:*"Jens Hainmueller" <[email protected]>

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