medicaid: Data from the 1986 Medicaid Consumer Survey.

In blapsr: Bayesian Inference with Laplace Approximations and P-Splines

Data from the 1986 Medicaid Consumer Survey.

Description

Data from the 1986 Medicaid survey sponsored by the Health Care Financing Administration (USA). It can be used to illustrate generalized additive models with a log link for the number of doctor visits as a response variable. The dataset is studied in Gurmu (1997).

Usage

data(medicaid)

Format

A data frame with 485 rows and 10 columns.

numvisits

Count of doctor office/clinic and health centre visits.

exposure

Length of observation period for ambulatory care in days.

children

Number of children in the household.

age

Age of the respondent.

income1000

Annual household income in US dollars.

access

Access to health services, 0=Low access, 100=High access.

pc1times1000

First principal component of three health status variables: functional limitations, acute conditions and chronic conditions.

maritalstat

Marital status, 0=Other, 1=Married.

sex

Gender, 1=Female, 0=Male.

race

Race, 0=Other, 1=White.

Source

http://qed.econ.queensu.ca/jae/1997-v12.3/gurmu/

References

Gurmu, S.(1997). Semi-parametric estimation of hurdle regression models with an application to medicaid utilization. Journal of Applied Econometrics 12(3):225-242.

blapsr documentation built on Sept. 1, 2025, 5:10 p.m.