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Income, Poverty, and Health Insurance Coverage ... - Census Bureau

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<strong>Health</strong> Interview Survey (NHIS) data<br />

3<br />

adjusting the CPS ASEC data. This is to compare <strong>and</strong> contrast CPS ASEC<br />

instead of CPS data. The purpose of an experimental imputation, <strong>and</strong> was underreporting rates with other surthis<br />

was two-fold: to provide expla- produced for interested parties to use veys. This, in turn, will allow <strong>Census</strong><br />

nations for the differences found in their research. The <strong>Census</strong> <strong>Bureau</strong> <strong>Bureau</strong> analysts to better underst<strong>and</strong><br />

between NHIS data <strong>and</strong> MSIS files has not evaluated the methodology, the nature <strong>and</strong> impact of CPS ASEC<br />

<strong>and</strong> to examine how differing survey <strong>and</strong> users should be aware that this is health coverage underreporting.<br />

designs <strong>and</strong> methodologies affect the<br />

survey data <strong>and</strong> estimates. The report<br />

found that the NHIS Medicaid undercount<br />

was 27.3 percent in 2001 <strong>and</strong><br />

21.7 percent in 2002, but noted that<br />

the NHIS added questions in 2004 <strong>and</strong><br />

these results may not apply to more<br />

recent data. The report found higher<br />

false-negative reporting for enrollees<br />

who were older, had higher incomes<br />

<strong>and</strong> also had private insurance. False-<br />

negative reporting was lower for very<br />

low-income enrollees, those on other<br />

benefits programs, <strong>and</strong> those who<br />

had recently used Medicaid services.<br />

The report found that the dynamics of<br />

false-negative reporting was similar in<br />

NHIS <strong>and</strong> CPS.<br />

not an official data product.<br />

There are several ongoing projects<br />

aimed at improving the quality of<br />

health coverage data from the CPS<br />

ASEC. This research includes: 1)<br />

cognitive research <strong>and</strong> field testing<br />

to improve the wording of the CPS<br />

ASEC health coverage questions;<br />

2) editing <strong>and</strong> imputation research,<br />

including additional research on the<br />

use of models that attempt to account<br />

for Medicaid underreporting; <strong>and</strong> 3)<br />

exp<strong>and</strong>ing the number of studies that<br />

match administrative Medicaid data to<br />

current survey data to include other<br />

surveys, such as the National <strong>Health</strong><br />

Interview Survey (NHIS) <strong>and</strong> the<br />

American Community Survey (ACS).<br />

After consulting with health insurance<br />

experts, the <strong>Census</strong> <strong>Bureau</strong> modified<br />

the definition of the population with-<br />

out health insurance in the supplement<br />

to the March 1998 CPS, which<br />

collected data about coverage in<br />

1997. Previously, people with no cov-<br />

erage other than access to the Indian<br />

<strong>Health</strong> Service were counted as part<br />

of the insured population. Subsequently,<br />

the <strong>Census</strong> <strong>Bureau</strong> has counted these<br />

people as uninsured. In 2009, a modi-<br />

fication to uninsured foster children<br />

was made. <strong>Health</strong> insurance experts<br />

informed the <strong>Census</strong> <strong>Bureau</strong> that<br />

all foster children were eligible for<br />

Medicaid. The effect of these changes<br />

on the overall estimates of health<br />

In November of 2008, SHADAC<br />

released a new imputation adjustment<br />

for public use CPS ASEC micro-<br />

This research will make it possible insurance coverage was negligible.<br />

data through their website to help<br />

researchers interested in partially<br />

3 See for more<br />

information.<br />

70 <strong>Income</strong>, <strong>Poverty</strong>, <strong>and</strong> <strong>Health</strong> <strong>Insurance</strong> <strong>Coverage</strong> in the United States: 2009 U.S. <strong>Census</strong> <strong>Bureau</strong>

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