Compute vpregi16=pregi16.
Compute vpregi17=pregi17.
Compute vpregi18=pregi18.
Compute vpregi19=pregi19.
Compute vpregi20=pregi20.
Compute vpregi21=pregi21.
Compute vpregi22=pregi22.
Compute vpregi23=pregi23.
Compute vpregi24=pregi24.
Compute vpregi25=pregi25.
Compute vpregi26=pregi26.
Compute vpregi27=pregi27.
Compute vpregi28=pregi28.
Compute vpregi29=pregi29.
Compute vpregi30=pregi30.
Compute vpregi31=pregi31.
Compute vpregi32=pregi32.
Compute vpregi33=pregi33.
Compute vpregi34=pregi34.
Compute vpregi35=pregi35.
Compute vpregi36=pregi36.
Compute vpregi37=pregi37.
Compute vpregi38=pregi38.
Compute vpregi39=pregi39.
Compute vpregi40=pregi40.
* Having copied all the data into manageable v-prefix vectors, use loop structure to copy them
to their correct
* position (x-prefix vectors), then copy them back to their ordinary names from the x-prefix
vectors.
* As we can be sure at this stage we are only interested in single-baby pregnancies, the
* destination slots are numbered 1,6,11,16,21,26,31 and 36 (i.e. 5*#i-4).
* Note this process only occurs for cases where we know the outcomes have been wrongly
bunched in the same pregnancy,
* or where the outcomes are in the wrong chronological order, or (in the case of NCDS) where
a birth event prior to March 1991 is
* recorded, and we know the member was interviewed at that last sweep in 1991 . Even in
the above cases, we don't proceed if there are any
* outcomes with a year entered as '9999', or where we know there are any true multiple
outcomes, or any dubious multiple
* outcomes (i.e. >3 days but less than 9 months apart). The only exceptions are 26 'dubious'
cases referred to specifically by
* serial number, where manual scrutiny revealed they contain no true multiple outcomes, and
have no '9999' years, plus a further
* 12 cases where outcomes were not out of chronological order, but where slot 1 wasn't filled
in (i.e. data started at slot 6, then
* slot 11,... etc.) So all data had to be moved 'back' by one pregnancy.
* Initiate variable 'changed', which flags up all cases that needed any kind of alteration
(automatic or manual). If 'changed'
* remains zero, no need to overwrite existing variables with values of x-prefix vectors (which
in any case, won't have been defined).
Compute changed=0.
Do if (((bunched=1 or ordrflag=1 or pre91flg=1) and (noyrflag=0 and truemult=0 and
oddmult=0)) or
(nserial='055086Z' or nserial='084004J' or nserial='110304M' or nserial='223020B' or
More intriguing information
1. Handling the measurement error problem by means of panel data: Moment methods applied on firm data2. Fertility in Developing Countries
3. Non-farm businesses local economic integration level: the case of six Portuguese small and medium-sized Markettowns• - a sector approach
4. Outline of a new approach to the nature of mind
5. The Provisions on Geographical Indications in the TRIPS Agreement
6. Spectral density bandwith choice and prewightening in the estimation of heteroskadasticity and autocorrelation consistent covariance matrices in panel data models
7. The name is absent
8. A Unified Model For Developmental Robotics
9. The name is absent
10. Should Local Public Employment Services be Merged with the Local Social Benefit Administrations?