Guatemalan Data

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 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:

Immunization

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). 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.

Prenatal Care

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). 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.