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From |
"Michael Blasnik" <michael.blasnik@verizon.net> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
Re: st: Question on data manipulation |

Date |
Fri, 21 Oct 2005 08:35:44 -0400 |

A slight fix to the code already offered:

bysort firm (characteristic): gen dummy = _N > 1

bysort firm innovation (dummy): replace dummy = dummy[_N]

This code assumes that a given innovation won't be listed with the same characteristic more than once.

Michael Blasnik

michael.blasnik@verizon.net

----- Original Message ----- From: "Susanne und Ulrich Kohler" <suli.kohler@web.de>

To: <statalist@hsphsun2.harvard.edu>

Sent: Friday, October 21, 2005 7:15 AM

Subject: Re: st: Question on data manipulation

On Friday 21 October 2005 11:48, Andre pierre wrote:I have a question, for which the answer might be simple, but I did not find

it yet.

I am working on a datset that contains information on innovating firms. My

question might be more understandable with the following example:

Firm 1 has 3 innovations (A, B and C). A and B have one caracteristic in

common (x); B and C have another caracteristic in common (g), while

Innovation D does not have the same caracteristic as any of the other

innovations.

I would like to create a dummy that takes the value one if an invention by

a given firm has at least one caracteristic in common with one of the other

innovations by the the same firm. My question is how can I get this dummy?

<snip>

. by firm (charateristic): gen dummy = _N > 0

. by firm innovation (dummy): replace dummy = dummy[_N]

--

kohler@wz-berlin.de

+49 (0)30 25491-361

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**References**:**st: Question on data manipulation***From:*"Andre pierre" <hcpats@hotmail.fr>

**Re: st: Question on data manipulation***From:*Susanne und Ulrich Kohler <suli.kohler@web.de>

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