sps: Public health experiment in Mexico
In davidkane9/PPBDS.data: Data for Preceptor's Primer for Bayesian Data Science

Description Usage Format Details Author(s) Source

Data for a randomized assessment of the Mexican universal health insurance programme, both before and after a study which randomly assigned treatment within 74 matched pairs of health clusters — representing 118,569 households in seven Mexican states. See King et al. (2009) for background and details. Data includes variables from a 2005 baseline survey (August, 2005, to September, 2005) and follow-up survey 10 months later (July, 2006, to August, 2006).

sps

A tibble with 27,569 observations and 8 variables:

age: integer variable with raw age values of respondents
sex: character variable with values "male" and "female"
educ: character variable with values "preschool", "primary", "secondary", "high school", "normal", "technical", "college", and "post-grad"
treatment: binary factor variable for treatment (1) and control (0)
health_exp_m3: double variable for health-related expenses in the last 3 month in pesos
health_exp_m1: double variable for health-related expenses in the last month in pesos
t2_health_exp_m1
t2_health_exp_m3

Table: Data summary


Name	sps
Number of rows	27569
Number of columns	8
_______________________
Column type frequency:
character	2
numeric	6
________________________
Group variables	None

Variable type: character

skim_variable	n_missing	complete_rate	min	max	empty	n_unique	whitespace
sex	0	1	4	6	0	2	0
education	0	1	7	11	0	6	0

Variable type: numeric

skim_variable	n_missing	complete_rate	mean	sd	p0	p25	p50	p75	p100	hist
age	0	1	42.30	16.63	18	29	39	53	98	▇▇▃▂▁
treatment	0	1	0.50	0.50	0	0	1	1	1	▇▁▁▁▇
health_exp_3m	0	1	657.92	1639.64	0	0	50	550	37000	▇▁▁▁▁
t2_health_exp_3m	0	1	762.37	1758.31	0	0	150	700	37600	▇▁▁▁▁
health_exp_1m	0	1	120.25	513.73	0	0	0	0	9998	▇▁▁▁▁
t2_health_exp_1m	0	1	135.67	525.93	0	0	0	20	9998	▇▁▁▁▁