Format
A data frame with 1934 observations on the following 11 variables:
woman- Identifying code for each woman (level 1 unit).
district- Identifying code for each district (level 2 unit).
use- Contraceptive use status at time of survey; a factor with levels
Not_using and Using. lc- Number of living children at time of survey; an ordered factor with levels
None, One_child, Two_children, Three_plus. age- Age of woman at time of survey (in years), centred on sample mean of 30 years.
urban- Type of region of residence; a factor with levels
Rural and Urban. educ- Woman's level of education; an ordered factor with levels
None, Lower_primary, Upper_primary, Secondary_and_above. hindu- Woman's religion; a factor with levels
Muslim and Hindu. d_illit- Proportion of women in district who are literate.
d_pray- Proportion of Muslim women in district who pray every day (a measure of religiosity).
cons- A column of ones. If included as an explanatory variable in a regression model (e.g. in MLwiN), its coefficient is the intercept.
Source
Amin, S., Diamond, I., Steele, F. (1997) Contraception and religiosity in Bangladesh. In: G. W. Jones, J. C. Caldwell, R. M. Douglas, R. M. D'Souza (eds) The Continuing Demographic Transition, 268--289. Oxford: Oxford University Press. Browne, W. J. (2012) MCMC Estimation in MLwiN Version 2.26. University of Bristol: Centre for Multilevel Modelling. Huq, N. M., Cleland, J. (1990) Bangladesh fertility survey, 1989. Dhaka: National Institute of Population Research and Training (NIPORT). Rasbash, J., Charlton, C., Browne, W.J., Healy, M. and Cameron, B. (2009) MLwiN Version 2.1. Centre for Multilevel Modelling, University of Bristol.