This page makes available the two datasets used in our 2001 JRSS paper. These data are also part of the analysis in our 1996 Demography paper.
The data on immunization have been used as an example in Rabe-Hesketh and Skrondal (2008), Multilevel and Longitudinal Modeling Using Stata, 2nd edition, Stata Press, Texas. (see Section 10.5 and following.)
The datasets are available in a zipped archive rggudat.zip (40 KB). They are also available individually in uncompressed form as guImmun.dat (115 KB) and guPrenat.dat (160 KB). Descriptions of these datasets follow:
The first dataset (guImmun.dat) refers to complete immunization among children
receiving any immunization. It has 2159 observations on 19 variables.
The very first line is a header with variable names, so the file can be read
into R or S-Plus using read.table(filename,header=T),
and into Stata using insheet using filename, delim(" ") case.
The variables include
child, family and community id numbers, the outcome coded 0-1, and a set of
individual, family and community variables used as predictors. These appear
in exactly the same order as Table 2 in the JRSS-A paper:
| Column | Variable | Notes |
|---|---|---|
| 1 | kid | child id (2159 kids) |
| 2 | mom | family id (1595 families) |
| 3 | cluster | cluster id (161 communities) |
| 4 | immun | whether fully immunized (1=yes, 0=no) |
| 5 | kid2p | child aged 2+ years |
| 6 | mom25p | mother aged 25+ years |
| 7 | order23 | birth order 2-3 |
| 8 | order46 | birth order 4-6 |
| 9 | order7p | birth order 7+ |
| 10 | indNoSpa | indigenous, speaks no spanish |
| 11 | indSpa | indigenous, speaks spanish |
| 12 | momEdPri | mother's education primary |
| 13 | momEdSec | mother's education secondary+ |
| 14 | husEdPri | husband's education primary |
| 15 | husEdSec | husband's education secondary+ |
| 16 | husEdDK | husband's education missing |
| 17 | momWork | mother ever worked |
| 18 | rural | rural residence |
| 19 | pcInd81 | proportion indigenous in 1981 |
The last predictor is a continuous variable. All others are 0-1 dummy variables, representing discrete factors coded using the reference cell method. The omitted categories are child aged 1 year, mother's age less than 25, birth order 1, ladino, mother with no education, husband with no education, mother never worked, and urban residence.
The second dataset (guPrenat.dat)
refers to use of modern prenatal care among
women using some form of prenatal care. It has 2449 observations on 25
variables. The first line is a header with variable names, so the file can be read
into R or S-Plus using read.table(filename,header=T),
and into Stata using insheet using filename, delim(" ") case.
The variables include level ids, the outcome, and individual, family and community-level
predictors. These appear in the same order as Table 3 in the JRSS-A paper.
| Column | Variable | Notes |
|---|---|---|
| 1 | kid | child id (2449 kids) |
| 2 | mom | family id (1558 families) |
| 3 | cluster | cluster id (161 communities) |
| 4 | prenat | used modern prenatal care (1=yes, 0=no) |
| 5 | kid3p | child aged 3-4 years |
| 6 | mom25p | mother aged 25+ years |
| 7 | order23 | birth order 2-3 |
| 8 | order46 | birth order 4-6 |
| 9 | order7p | birth order 7+ |
| 10 | indNoSpa | indigenous, speaks no spanish |
| 11 | inSpa | indigenous, speaks spanish |
| 12 | momEdPri | mother's education primary |
| 13 | momEdSec | mother's education secondary+ |
| 14 | husEdPri | husband's education primary |
| 15 | husEdSec | husband's education secondary+ |
| 16 | husEdDK | husband's education missing |
| 17 | husProf | husband professional, sales, clerical |
| 18 | husAgrSelf | husband agricultural self-employed |
| 19 | husAgrEmp | husband agricultural employee |
| 20 | husSkilled | husband skilled service |
| 21 | toilet | modern toilet in household |
| 22 | tvNotDaily | television not watched daily |
| 23 | tvDaily | television watched daily |
| 24 | pcInd81 | proportion indigenous in 1981 |
| 25 | ssDist | distance to nearest clinic |
All predictors are either continuous variables (numbers 24 and 25) or 0-1 dummy variables (all others) representing discrete factors coded using the reference cell method. Omitted categories are child aged 0-2, mother aged <25, birth order 1, ladino, mother with no education, husband with no education, husband not working or in unskilled occupation, no modern toilet in household, and no television in the household.