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Re: st: growth rates
From
Nick Cox <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: growth rates
Date
Fri, 7 Mar 2014 14:10:43 +0000
Maarten's [sic] advice is probably the most relevant here. I'd expect
positive numbers and exponential growth as a zeroth approximation, so
fractional growth rate is good not only for tracking individual
countries but also for comparing different countries.
Nick
[email protected]
On 7 March 2014 14:02, Bornmann, Lutz <[email protected]> wrote:
> Thanks, Marten for this first solution.
>
> Nick, I am looking for advice on how to measure growth. Martens solution standardizes the annual changes in publication numbers. Are there other options and how can I get an overall growth value with which I can compare several countries?
>
> Lutz
>
>>-----Original Message-----
>>From: [email protected] [mailto:owner-
>>[email protected]] On Behalf Of Nick Cox
>>Sent: Friday, March 07, 2014 2:24 PM
>>To: [email protected]
>>Subject: Re: st: growth rates
>>
>>I don't get this. Do you have a definition of growth rate and want
>>Stata code for this or do you want advice on how to measure it?
>>
>>For example, if something can ever be zero or negative, then even
>>
>>change in value / previous value
>>
>>can not be a good idea, because growing from -1 to 0 gives growth rate
>>of -1 and growing from 0 to 1 gives an indeterminate value.
>>
>>so even that is not a universal.
>>Nick
>>[email protected]
>>
>>
>>On 7 March 2014 13:12, Bornmann, Lutz <[email protected]> wrote:
>>> Hi,
>>>
>>> I do have annual publication numbers for several countries:
>>>
>>> ITEM_PY us' ch'
>>> 1990 3759 119
>>> 1991 3738 149
>>> 1992 3757 149
>>> 1993 3810 169
>>> 1994 3920 199
>>> 1995 4134 171
>>> 1996 4404 211
>>> 1997 4436 236
>>> 1998 4513 246
>>> 1999 4542 238
>>> 2000 4456 275
>>> 2001 4519 263
>>> 2002 4602 259
>>> 2003 4705 276
>>> 2004 4836 310
>>> 2005 4834 337
>>> 2006 5150 344
>>> 2007 5253 433
>>> 2008 5568 466
>>> 2009 5520 475
>>> 2010 5690 534
>>>
>>> I would like to calculate growth rates. What is the best (and simplest)
>>statistical procedure to do that?
>>>
>>> Thank you,
>>>
>>> Lutz
>>>
>>> *
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>>*
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>
> *
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