MEPS2001 {ssmodels}

Medical Expenditure Panel Survey

Description

The MEPS is a set of large-scale surveys of families, individuals and their medical providers (doctors, hospitals, pharmacies, etc.) in the United States. It has data on the health services Americans use, how often they use them, the cost of these services and how they are paid, as well as data on the cost and reach of health insurance available to American workers. The sample is restricted to persons aged between 21 and 64 years and contains a variable response with 3328 observations of outpatient costs, of which 526 (15.8%) correspond to unobserved expenditure values and identified as zero expenditure for adjustment of the models. It also includes the following explanatory variables:

• educ: education status

• age: Age

• income: income

• female: gender

• vgood: a numeric vector

• good: a numeric vector

• hospexp: a numeric vector

• totchr: number of chronic diseases

• ffs: a numeric vector

• dhospexp: a numeric vector

• age2: a numeric vector

• agefem: a numeric vector

• fairpoor: a numeric vector

• year01: a numeric vector

• instype: a numeric vector

• ambexp: a numeric vector

• lambexp: log ambulatory expenditures

• blhisp: ethnicity

• instype_s1: a numeric vector

• dambexp: dummy variable, ambulatory expenditures

• lnambx: a numeric vector

• ins: insurance status

Usage

MEPS2001

Format

An object of class data.frame with 3328 rows and 22 columns.

Source

2001 Medical Expenditure Panel Survey by the Agency for Healthcare Research and Quality.

References

Cameron A Colin, Pravin K Trivedi (2009). “Microeconometrics using STATA.” Lakeway Drive, TX: Stata Press Books.

Mikhail Zhelonkin, Marc G. Genton, Elvezio Ronchetti (2019). ssmrob: Robust Estimation and Inference in Sample Selection Models. R package version 0.7, https://CRAN.R-project.org/package=ssmrob.

Ott Toomet, Arne Henningsen (2008). “Sample Selection Models in R: Package sampleSelection.” Journal of Statistical Software, 27(7). https://www.jstatsoft.org/article/view/v027i07.

Examples

data(MEPS2001)
attach(MEPS2001)
hist(lnambx)
selectEq <- dambexp ~ age + female + educ + blhisp + totchr + ins + income
outcomeEq <- lnambx ~ age + female + educ + blhisp + totchr + ins
HeckmanCL(selectEq, outcomeEq, data = MEPS2001)