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From |
Mandy fu <mandy.fu1@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st:easy way to deal with "paired" variables? |

Date |
Sun, 1 Feb 2009 00:52:44 -0500 |

Deal Statalisters, I was wondering if there's any easy way to deal with the "paired" variables. The data set I'm working on includes 100 variables measuring the time spell of gaps between jobs. And for each gap there's a variable explaining why the person does not work during that gap. It looks like this: . --------------------------------------------------------------------------------------------------------------- ID gap1 reason1 gap2 reason2 gap 3 reason3 1 30days 1 illness 20days 2 Don't want 61 days can't find job 2 25days 2 Don't want 180 days 4 in prison missing missing 3 --------------------------------------------------------------------------------------------------------------- I want to calculate the total length of any gaps caused by being in prison(reason=4) . The current way I use has three steps: --------------------------------------------------- step 1: create dummy variable =1 if the gap's reason is 4;=0 if reason is not 4 step 2: create new gaps variables ("newgap1-100" )measuring the days for each gap if reason =4. for example: "newgap1"="gap1" * dummy variable from step 1. step 3:get the row total of all the new gap variables. egen total_prison=rowtotal(newgap1-100) ---------------------------------------------------- The total_prison is what I 'm looking for to measure the total days of all the gaps if the reason is 4. I'm thinking there must be some easier way to do this. Could anyone here could give some idea of how to deal with these kinds of "paired" variables?(It seems that each gap variable is paired with each reason variable.) Thanks a lot! Mandy * * 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/

**Follow-Ups**:**Re: st:easy way to deal with "paired" variables?***From:*Maarten buis <maartenbuis@yahoo.co.uk>

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