Sentence examples for village variables from inspiring English sources

The X ijt matrix contains individual-specific variables and household and village variables to condition the differences in trends to observable characteristics.

We examined all individual variables and fitted models for each of the village variables separately.

In the current communication, we revisit the data set examining the contextual effects of village variables to serve the above needs.

Similarly, in Nepal, if the husband had a level of education greater than fifth grade, it significantly reduced the high-risk practices in all stages of childbirth, independent of other socio-economic, biological and village variables [ 30].

Δ NRCMS: New Rural Cooperative Medical Scheme * Number of non-poor households before health payment † SD: Standard deviation ‡ IQR: Inter-quarter Range Out of the six village variables, four continuous variables, namely average village income, village adult illiteracy rate, distance from village to town health center, and distance from village to county hospital, were highly correlated.

However, the variables related to these factors are not available in large scale surveys like NFHS-3, but can be captured with the help of "region (village)" variable.

Village fixed effects were represented by village dummy variables, which captured all time-invariant characteristics of these localities.

Household and village control variables: These include household head education, household socioeconomic status quintile, variables recording whether the caste of the household head is the same as that of the ASHA and of the AWW, number of pregnant women in the catchment area (10s), and village population (1,000s).

Table 3 summarizes the village contextual variables.

Multilevel multivariable analysis examined the association between individual, household and village level variables and the two components of outpatient patient satisfaction, using MLwiN (statistical software for multilevel models).

12 We estimate a log linear model on the sample of users (using individual, household covariates and village indicator variables) and subsequently predict costs and travel time for the entire sample.