What is "it" that you want to do?
I have a household survey. I want to obtain data on the labour force
which is subcategorized by employed (when pobpcoac equals 2) and
unemployed (when pobpcoac equals 3 or 4 or 5), <14 years old (when
pobpcoac equals 1) and inactive population (when pobpcoac is between 6
and 11) by sex and chief or not of the house.
If you want just to get totals of variables, there is a command called -total-.
I want to get totals of variables under some restrictions.
Otherwise, there is little point in filling variables with constants,
unless you really >need those variables later.
If you really do, look at -foreach- as a way of looping over
variables. -search >foreach- will indicate sources of tutorials.
I'm just beginning to learn Stata.
Your variable name structure makes looping a little difficult.
I don't care about names, I just want to obtaing employed, unemployed,
and inactive population.
Putting "indice" inside each variable name is awkward.
Do you know spanish?
Nick
[email protected]
Sebastian Kruk
Are there a easier way of do it?
egen desocupados_indice = anycount (pobpcoac), values(3 4 5)
egen byte desocupados_indice_man = anycount(pobpcoac) if
e1==1, values(3 4 5)
egen byte desocupados_indice_man_jefe = anycount(pobpcoac) if e1==1 &
e3==1, values(3 4 5)
egen byte desocupados_indice_man_no_jefe = anycount(pobpcoac) if e1==1
& e3!=1, values(3 4 5)
egen byte desocupados_indice_woman = anycount(pobpcoac) if
e1==2, values(3 4 5)
egen byte desocupados_indice_woman_jefe = anycount(pobpcoac) if e1==2
& e3==1, values(3 4 5)
egen byte desocupados_indice_woman_no_jefe = anycount(pobpcoac) if
e1==2 & e3!=1, values(3 4 5)
egen desocupados = total(desocupados_indice)
egen desocupados_man = total(desocupados_indice_man)
egen desocupados_man_jefe = total(desocupados_indice_man_jefe)
egen desocupados_man_no_jefe = total(desocupados_indice_man_no_jefe)
egen desocupados_woman = total(desocupados_indice_woman)
egen desocupados_woman_jefe = total(desocupados_indice_woman_jefe)
egen desocupados_woman_no_jefe =
total(desocupados_indice_woman_no_jefe)
egen ocupados_indice = anycount (pobpcoac), values(2)
egen ocupados_indice_man = anycount(pobpcoac) if e1==1, values(2)
egen ocupados_indice_man_jefe = anycount(pobpcoac) if e1==1 & e3==1,
values(2)
egen ocupados_indice_man_no_jefe = anycount(pobpcoac) if e1==1 &
e3!=1, values(2)
egen ocupados_indice_woman = anycount(pobpcoac) if e1==2, values(2)
egen ocupados_indice_woman_jefe = anycount(pobpcoac) if e1==2
& e3==1, values(2)
egen ocupados_indice_woman_no_jefe = anycount(pobpcoac) if e1==2 &
e3!=1, values(2)
egen ocupados = total (ocupados_indice)
egen ocupados_man = total(ocupados_indice_man)
egen ocupados_man_jefe = total(ocupados_indice_man_jefe)
egen ocupados_man_no_jefe = total(ocupados_indice_man_no_jefe)
egen ocupados_woman = total(ocupados_indice_woman)
egen ocupados_woman_jefe = total(desocupados_indice_woman_jefe)
egen desocupados_woman_no_jefe =
total(desocupados_indice_woman_no_jefe)
generate pea=ocupados+desocupados
egen pei_indice = anycount (pobpcoac), values(6/11)
egen pei = total( pei_indice)
generate pet=pea+pei
egen pnet_indice = anycount (pobpcoac), values(1)
egen pnet = total( pnet_indice)
generate poblacion=pet+pnet
generate tasa_empleo=ocupados/pet
generate pet_ine=1620743
generate ocupados_expandidos=tasa_empleo*pet_ine
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