In fact, Ada, *none* of these variables are dummies: all are collected
either from electoral or census data as proportions (as might be apparent
from the varnames). It very much depends on what one believes is too much.
A small number of variables is certainly more parsimonious, but runs the
risk of being underspecified; too many will be very comprehensive, but
runs the opposite risk.
C.
> Clive wrote:
>> -joinby name1983 name1997 conpc labpc libpc natpc othpc tuout incumb enp
>> consppc labsppc libsppc natsppc ownocc owner rentpriv hse_ass council
>> sec_home car no_ch white black ipb othernw nonwhite ecactive inactive
>> ft_work pt_work selfempl govschem dole under_16 age16_24 age25_39
>> age40_65
>> pension workage sgparent migrants illness seg_i seg_ii seg_iiin seg_iiin
>> seg_iv seg_v hp80 hp81 hp82 hp83 hp84 hp85 hp86 hp87 hp88 hp89 hp90 hp91
>> hp92 hp93 hp94 hp95 hp96 hpq197 marginal speak97 ward20 ward10 emp91
>> pens91 sick owner91 educ91 ncwp91 unem91 agri91 enwa91 manu91 fina91
>> army91 welsh91 using c:\data\c97.dta, unmatched(both)-
>
> My god do you really need so many variables to identify an observation in
> your sample????? Many of the variables in your list looks like they are
> dummy variables, so I guess possibly not?
>
> Ada Ma
> Department of Economics
> University of Aberdeen, Scotland
> [email protected]
> *
> * For searches and help try:
> * http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
Yours,
CLIVE NICHOLAS,
Politics Building,
School of Geography, Politics and Sociology,
University of Newcastle-upon-Tyne,
Newcastle-upon-Tyne,
NE1 7RU,
United Kingdom.
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
