meps

A sample of MEPS 2004 data including 19386 observations.

datasets

Fit two-part regression models for zero-inflated data. The models and their components are represented using S4 classes and methods. Average Marginal effects and predictive margins with standard errors and
confidence intervals can be calculated from two-part model objects. Belotti, F., Deb, P., Manning, W. G., & Norton, E. C. (2015) <doi:10.1177/1536867X1501500102>.

Yajie Duan

twopartm

Two-Part Model with Marginal Effects

Birol Emir

Griffith Bell

Javier Cabrera

Pfizer Inc. 

meps function

<dl>
 <dt>duid</dt>
<dd>Dwelling unit id</dd> <dt>dupersid</dt>
<dd>Person id (unique)</dd> <dt>hieuidx</dt>
<dd>Health insurance eligibility unit id</dd> <dt>wtdper</dt>
<dd>Sampling weight for person</dd> <dt>age</dt>
<dd>Age</dd> <dt>female</dt>
<dd>Female</dd> <dt>race_bl</dt>
<dd>Black</dd> <dt>race_oth</dt>
<dd>Other race, non-white and non-black</dd> <dt>eth_hisp</dt>
<dd>Hispanic</dd> <dt>famsize</dt>
<dd>Size of responding annualized family</dd> <dt>ed_hs</dt>
<dd>High school education</dd> <dt>ed_hsplus</dt>
<dd>Some college education</dd> <dt>ed_col</dt>
<dd>College education</dd> <dt>ed_colplus</dt>
<dd>More than college education</dd> <dt>lninc</dt>
<dd>ln(family income)</dd> <dt>reg_midw</dt>
<dd>Midwest region</dd> <dt>reg_south</dt>
<dd>South region</dd> <dt>reg_west</dt>
<dd>West region</dd> <dt>anylim</dt>
<dd>Any disability</dd> <dt>mcs12</dt>
<dd>Mental health component of SF12</dd> <dt>pcs12</dt>
<dd>Physical health component of SF12</dd> <dt>ins_mcare</dt>
<dd>Medicare insurance</dd> <dt>ins_mcaid</dt>
<dd>Medicaid insurance</dd> <dt>ins_unins</dt>
<dd>Uninsured</dd> <dt>ins_dent</dt>
<dd>Dental insurance, prorated</dd> <dt>exp_tot</dt>
<dd>Total medical care expenses</dd> <dt>exp_dent</dt>
<dd>Dental care expenses</dd> <dt>exp_self</dt>
<dd>Total expenses paid by self or family</dd> <dt> use_disch</dt>
<dd># hospital discharges</dd> <dt>use_los</dt>
<dd># nights in hospital</dd> <dt>use_dent</dt>
<dd># dental visits</dd> <dt>use_rx</dt>
<dd># prescriptions and refills</dd> 
</dl>

Format

A Sample of Medical Expenditure Panel Survey 2004 data — meps

<dl>
 <dt>duid</dt>
<dd>Dwelling unit id</dd>

 <dt>dupersid</dt>
<dd>Person id (unique)</dd>

 <dt>hieuidx</dt>
<dd>Health insurance eligibility unit id</dd>

 <dt>wtdper</dt>
<dd>Sampling weight for person</dd>

 <dt>age</dt>
<dd>Age</dd>

 <dt>female</dt>
<dd>Female</dd>

 <dt>race_bl</dt>
<dd>Black</dd>

 <dt>race_oth</dt>
<dd>Other race, non-white and non-black</dd>

 <dt>eth_hisp</dt>
<dd>Hispanic</dd>

 <dt>famsize</dt>
<dd>Size of responding annualized family</dd>

 <dt>ed_hs</dt>
<dd>High school education</dd>

 <dt>ed_hsplus</dt>
<dd>Some college education</dd>

 <dt>ed_col</dt>
<dd>College education</dd>

 <dt>ed_colplus</dt>
<dd>More than college education</dd>

 <dt>lninc</dt>
<dd>ln(family income)</dd>

 <dt>reg_midw</dt>
<dd>Midwest region</dd>

 <dt>reg_south</dt>
<dd>South region</dd>

 <dt>reg_west</dt>
<dd>West region</dd>

 <dt>anylim</dt>
<dd>Any disability</dd>

 <dt>mcs12</dt>
<dd>Mental health component of SF12</dd>

 <dt>pcs12</dt>
<dd>Physical health component of SF12</dd>

 <dt>ins_mcare</dt>
<dd>Medicare insurance</dd>

 <dt>ins_mcaid</dt>
<dd>Medicaid insurance</dd>

 <dt>ins_unins</dt>
<dd>Uninsured</dd>

 <dt>ins_dent</dt>
<dd>Dental insurance, prorated</dd>

 <dt>exp_tot</dt>
<dd>Total medical care expenses</dd>

 <dt>exp_dent</dt>
<dd>Dental care expenses</dd>

 <dt>exp_self</dt>
<dd>Total expenses paid by self or family</dd>

 <dt> use_disch</dt>
<dd># hospital discharges</dd>

 <dt>use_los</dt>
<dd># nights in hospital</dd>

 <dt>use_dent</dt>
<dd># dental visits</dd>

 <dt>use_rx</dt>
<dd># prescriptions and refills</dd>

 
</dl>

meps: A Sample of Medical Expenditure Panel Survey 2004 data

Description

Usage

Arguments

Format

Details

References