Re: st: Reshape with prefix using a varlist

[Nick Cox <njcoxstata@gmail.com>]

I think I would make this even -long-er if it were mine.

reshape long country , i(year inst LEVEL)

Then whatever reductions you want would be -egen- or -collapse- or -contract-.

Why do I suggest this? You are already imagining that you need to
combine a loop over variables with totals over observations. Think how
much more of that you would need with yet more variables.

Nick

On Tue, Mar 15, 2011 at 1:21 AM, Richard Murphy
<r1ch4rd.murphy@gmail.com> wrote:
> The label "country1-country244" represents the remaining 244
> variables, containing the total amount of students from that country
> at that level in a uni-year.
> Are you suggesting something along the lines of
> foreach x in varlist eu uk {
>
>
> On 14 March 2011 18:02, Nick Cox <njcoxstata@gmail.com> wrote:
>> Thanks. That clarifies some things but not others. In your example,
>> you have 7 headings but 6 columns of data. What is
>> "country1-country244"? A variable label?
>>
>> The totals for groups are easily computable using -egen, total()- with
>> your present structure.
>>
>> On Tue, Mar 15, 2011 at 12:45 AM, Richard Murphy
>> <r1ch4rd.murphy@gmail.com> wrote:
>>> Hi Nick ,
>>> I appreciate that it looks foolish making a wide dataset even wider,
>>> but I don't think its that bad in this case.
>>> I have university by degree level by year data. For each of these i
>>> have the number of students coming from 244 different countries, along
>>> with total EU and total OS.
>>>
>>> year    instit  LEVEL   os      uk      eu country1-country244
>>> 1994    1       ug              12      146     0
>>> 1994    1       pgr             3       335     3
>>> 1994    1       pgt     1       101     0
>>> 1995    1       ug              7       119     0
>>> 1995    1       pgr             4       300     9
>>> 1995    1       pgt             6       59      17
>>>
>>> There are 3 levels of degree, which i would like to make wide. So that
>>> I would have a panel dataset for universities over time. The reason
>>> why i want to do this is that I want to calculate the cross
>>> subsidisation that occurs between the degree levels, and for this I
>>> need the totals for each within an observation.
>>>
>>> I need to do this for all the countries as i'm using a Card
>>> Shift-Share approach as an instrument for changes in overseas numbers,
>>> which i would like to define in various different ways throughout the
>>> analysis (EU, NonEU, Asia, ect).
>>>
>>> And i would like the prefix, so that the variable names fit into my
>>> pre existing do files for the analysis.
>>>
>>> Best regards
>>> Richard
>>>
>>>
>>> On 14 March 2011 17:24, Nick Cox <njcoxstata@gmail.com> wrote:
>>>> Please tell us directly more about your dataset and why you think
>>>> -reshape wide- is a good idea. From what you say it just make most
>>>> analyses more difficult. Also, how many variables will you end up
>>>> with?
>>>>
>>>> Nick
>>>>
>>>> On Tue, Mar 15, 2011 at 12:13 AM, Richard Murphy
>>>> <r1ch4rd.murphy@gmail.com> wrote:
>>>>> Hi all,
>>>>> I want to reshape long data to wide, putting the 'j' string variable
>>>>> at the begging of the stub.
>>>>> This would be fine if I have a limited number of variables as i can
>>>>> just use the @ function.
>>>>> reshape wide @var1 @var2 @var3 @var4, i(instit year) j(LEVEL) string
>>>>>
>>>>> But this does not work if i use the variable list functionality of
>>>>> reshape. I would like to know if their is an easier way of doing this,
>>>>> rather than typing in all 244 variables preceded by @.
>>>>> reshape wide @var1-@var244, i(instit year) j(LEVEL) string
>>>>>

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