R Dataset / Package Ecdat / MedExp

On this R-data statistics page, you will find information about the MedExp data set which pertains to Structure of Demand for Medical Care . The MedExp data set is found in the Ecdat R package. You can load the MedExp data set in R by issuing the following command at the console data("MedExp"). This will load the data into a variable called MedExp. If R says the MedExp data set is not found, you can try installing the package by issuing this command install.packages("Ecdat") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the MedExp R data set. The size of this file is about 565,997 bytes.

Structure of Demand for Medical Care

Description

Journal of Applied Econometrics data archive : http://qed.econ.queensu.ca/jae/

number of observations : 5574

Usage

data(MedExp)

Format

A time serie containing :

med

annual medical expenditures in constant dollars excluding dental and outpatient mental

lc

log(coinsrate+1) where coinsurance rate is 0 to 100

idp

individual deductible plan ?

lpi

log(annual participation incentive payment) or 0 if no payment

fmde

log(max(medical deductible expenditure)) if IDP=1 and MDE>1 or 0 otherw

physlim

physical limitation ?

ndisease

number of chronic diseases

health

self–rate health (excellent,good,fair,poor)

linc

log of annual family income (in \$)

lfam

log of family size

educdec

years of schooling of household head

age

exact age

sex

sex (male,female)

child

age less than 18 ?

black

is household head black ?

Source

Deb, P. and P.K. Trivedi (2002) “The Structure of Demand for Medical Care: Latent Class versus Two-Part Models”, Journal of Health Economics, 21, 601–625.

References

Cameron, A.C. and P.K. Trivedi (2005) Microeconometrics : methods and applications, Cambridge.

See Also

Index.Source, Index.Economics, Index.Econometrics, Index.Observations,

Index.Time.Series

Dataset imported from https://www.r-project.org.

Attachments: csv, json

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