Statement of
David B. Muhlhausen, Ph.D.
Senior Policy Analyst
Center for Data Analysis
The Heritage Foundation
Before the Subcommittee
on
Elections of the
Committee on House Administration of the
United States House of Representatives
Delivered April 1,
2008
Introduction
My name is David Muhlhausen. I am Senior Policy Analyst in the
Center for Data Analysis at The Heritage Foundation. I thank
Chairwoman Zoe Lofgren, Ranking Member Kevin McCarthy, and the rest
of the subcommittee for the opportunity to testify today. My
testimony presents preliminary findings from a forthcoming Center
for Data Analysis report on the relationship between welfare
caseloads and voter registrations at state public assistance
offices.[1] The views I express in this testimony are
my own and should not be construed as representing any official
position of The Heritage Foundation.
Background
The National Voter Registration Act of 1993 required states to
allow eligible persons to register to vote at various government
locations, including public assistance offices. Starting in 1995,
states reported the number of voter registrations by registration
location in two-year intervals.[2]
Since the initial reporting period (1995-1996), the number of
persons registering to vote at public assistance offices has
declined. This trend has led some to speculate that the states are
failing to provide welfare recipients the opportunity to register
to vote at public assistance offices.[3] A recent report by Project
Vote and Demos, two organizations devoted to voting rights
advocacy, performed a descriptive analysis of trends in public
assistance registrations.[4] Their study suggests that the number of
voter registrations from public assistance offices declined by 79
percent from the reporting period of 1995-1996 to that of
2005-2006.[5] However, this estimate does not explain why
registrations decreased. Moreover, it does not control for factors
that influence voter registration rates, such as the passage and
implementation of welfare reform in 1996.
Other possible explanations for the decline include (1) that
voter registration drives by community mobilization organizations
replaced the need for welfare recipients to register to vote at
public assistance offices and (2) that welfare reform caused the
decline in registrations.
The analysis presented in my testimony directly tests the
hypothesis that the Personal Responsibility and Work Opportunity
Reconciliation Act (PRWORA) of 1996 contributed to the decline in
public assistance voter registrations. PRWORA replaced Aid to
Families with Dependent Children (AFDC) with Temporary Assistance
for Needy Families (TANF). Research by Professors June E. O'Neill
and M. Anne Hill of Baruch College strongly suggests that welfare
reform accounts for more than half of the decline in AFDC/TANF
participation of single mothers during the 1990s.[6] Welfare reform led
to a substantial decrease in welfare caseloads, which, in turn, may
have led to fewer voters registering at public assistance
offices.
Chart 1 plots the trends in average AFDC/TANF participation and
the average number of voter registrations at public assistance
offices in the states from 1995 to 2006. As illustrated in the
chart, the decline in voter registrations closely follows the
decline in AFDC/TANF participation. While the association between
welfare caseloads and voter registrations seems obvious, other
factors that may explain the relationship were also tested.
Data and Modeling
To check for other possible explanations for the decline in
voter registrations, a state-level panel data set of public
assistance registrations, welfare participation rates,
socioeconomic factors, and political election cycles was
constructed. Using panel analysis allows this study to test the
relative influence of varying AFDC/TANF participation rates on the
number of voter registrations while controlling for other factors
thought to influence registrations.
The data set contains 12 years of data for 45 states and the
District of Columbia. During the time frame of this analysis,
several states either failed to report voter registration or were
not required to do so. Six states did not report any data during
the time frame of the analysis, while 11 states reported public
assistance registrations intermittingly.[7] The data set is an unbalanced
panel because of incomplete voter registration reporting by some
states in certain years.
Methodology. The longitudinal nature of the
panel data allows researchers to analyze important policy questions
that descriptive studies cannot address.[8] The previous research by
Project Vote and Demos failed entirely to take into account
important policy and socioeconomic factors that vary across states
and over time and that affect registration rates.
Variables. For this analysis, the dependent
variable is the number of public assistance registrations per
100,000 residents age 18 or over.[9] The independent variables are
AFDC/TANF recipients per 100,000 residents, Food Stamp participants
per 100,000 residents, Women, Infants and Children (WIC)
participants per 100,000 residents, income per capita, unemployment
rate, minority population percent, 18 and older population percent,
presidential elections, U.S. Senate elections, gubernatorial
elections, off-year congressional elections, and state fixed
effects.[10] Table 1 presents the means and standard
deviations for the variables presented in the analysis.
The independent variables were chosen based on their anticipated
influence on public assistance registrations. For example,
AFDC/TANF, Food Stamp, and WIC participation rates measure the
level of welfare recipients being served by public assistance
offices. Increased welfare participation is anticipated to be
positively associated with public assistance registrations.
State unemployment rates and income per capita help to control
for the influence of the economy. Unemployment is an especially
important variable to include in the analysis because it is highly
likely that the sharp decline in unemployment during the 1990s
decreased welfare participation. Professors O'Neill and Hill assert
that "The true effect of welfare reform cannot be determined
without accounting for changes in unemployment and other possible
factors affecting single mothers' choices."[11] If decreased
unemployment is partially responsible for the decline in AFDC/TANF
participation, then it follows that decreased unemployment would
lead to fewer public assistance registrations. In addition, the
election variables help to control for periods of increased
political activity that are also anticipated to be positively
associated with public assistance registrations.
The panel data techniques used in the analysis reduce omitted
variable bias by introducing state (cross-sectional) fixed effects
into the model specification.[12] By controlling for state
fixed effects (individual differences related to each state), the
analysis accounts for time-invariant unobserved factors that
influence public assistance registration rates in a particular
state. The fixed-effects model helps to control for differences in
registration rates that are not explained by the independent
variables.
Regression Analysis
Table 2 presents the findings of an Ordinary Least Squares (OLS)
panel regression.[13] All standard errors are robust to
heteroskedasticity and autocorrelation, and the regression is
weighted by state population.
Controlling for other factors, AFDC/TANF participation has a
statistically significant association with public assistance
registrations. A one-unit increase in AFDC/TANF participants per
100,000 residents is associated with an increase of 0.062
additional registrations per 100,000 adult residents. Another way
to interpret this finding is to calculate the elasticity. The
elasticity represents the percentage change in public assistance
registration rates given a 1 percent change in a particular
independent variable. A 1 percent increase in AFDC/TANF
participation is associated with a 0.49 percent increase in voter
registrations. Conversely, a 1 percent decrease in AFDC/TANF
participation is associated with a 0.49 percent decline in voter
registrations.
Food Stamp and WIC participation do not appear to have any
statistically measurable association with public assistance
registrations. The results for income per capita, unemployment, and
the adult population percentage are statistically insignificant as
well.
A state's minority population percentage has a statistically
significant and negative relationship with public assistance
registrations. A 1 percent increase in the minority population is
associated with a reduction of 12.6 registrations per 100,000
adults. Further, a 1 percent increase in the minority population is
associated with a 1.1 percent decrease in registrations.
For the election cycle variables, presidential and gubernatorial
election years have statistically significant and positive
associations with public assistance registrations. During
presidential and gubernatorial election years, registrations
increased by 97.4 per 100,000 adults and 48.8 per 100,000 adults,
respectively. The elasticity calculations for the election year
variables represent the percentage change in registrations during a
particular type of election year. During presidential and
gubernatorial election years, the registration rate increased by
0.08 percent and 0.04 percent, respectively. Senate and off-year
congressional elections appear to have no statistically measurable
influence on registrations.
Conclusion
Declining AFDC/TANF caseloads from 1996 to 2006 made a
substantial contribution to the decrease in public assistance voter
registrations. Unlike previous research, my research used panel
regression analysis to estimate the relationship between AFDC/TANF
participation and other factors that influence public assistance
registrations. Controlling for other factors, a 1 percent decrease
in AFDC/TANF participation is associated with a 0.49 percent
decrease in public assistance registrations. While research on this
topic is new and in need of further analysis, Members of Congress
should not dismiss the major role of welfare reform and decreased
welfare participation in declining public assistance voter
registrations.
[1]
Patrick Tyrrell, a research assistant in the Center for Data
Analysis at The Heritage Foundation, greatly assisted in the
preparation of the data for this analysis.
[2]
Public assistance registration data were obtained from Federal
Election Commission/Election Assistance Commission, "The Impact of
the National Voter Registration Act of 1993 on the Administration
of Elections for Federal Office," 1995-1996, 1997-1998, 1999-2000,
2001-2002, 2003-2004, and 2005-2006. Recent reports are available
at http://www.eac.gov/clearinghouse/reports-and-surveys/.
Later reports are available upon request from the Election
Assistance Commission.
[3]
Frank Askin, "Turning Back the Clock on Voting Rights," New
Jersey Record, September 27, 2007; Michael Slater, "Compliance
with the NVRA: Not Optional," National Voter, Vol. 57,
Issue 2 (February 1, 2008); and Robyn Blummer, "Gaming the Voting
System for the GOP," St. Petersburg Times, March 23,
2008.
[4]
Douglas R. Hess and Scott Novakowski, Unequal Access:
Neglecting the National Voter Registration Act, 1995-2007,
Project Vote and Demos, February 2008.
[7]
Idaho, Minnesota, New Hampshire, North Dakota, Wisconsin, and
Wyoming did not report any data, while Alabama, Connecticut, Maine,
Massachusetts, Nevada, New Mexico, New York, Rhode Island, South
Carolina, Vermont, and West Virginia provided incomplete data for
one or more time periods. The following states are exempt from the
NVRA: Idaho, Maine, Montana, New Hampshire, Wisconsin, and Wyoming.
See Federal Election Commission/Election Assistance Commission,
"The Impact of the National Voter Registration Act of 1993 on the
Administration of Elections for Federal Office, 2005-2006," at
http://www.eac.gov/clearinghouse/reports-and-surveys/
(March 27, 2008). States that were exempt, failed to report, or
reported zero public assistance registrations were coded as
missing.
[8] In
addition, by increasing the number of data points compared to
cross-sectional and time-series analyses, panel analysis increases
the degrees of freedom and reduces possible collinearity among the
independent variables, thus improving the efficiency of the
econometric estimates.
[9] The
original public assistance voter registration variable was divided
in half and distributed by year in equal portions. For example,
Alabama reported 80,096 registrations during the 1995-1996 period.
The 80,096 registered voters were equally distributed into 1995 and
1996, with 40,048 registrants in each cell. After the allocation,
the registrations were divided by the state's population age 18 and
over and then multiplied by 100,000.
[10]
Data for these variables were obtained from the U.S. Department of
Health and Human Services, U.S. Census Bureau, U.S. Bureau of
Economic Analysis, and U.S. Bureau of Labor Statistics.
[11]
O'Neill and Hill, "Gaining Ground?" p. 15.
[12] Cheng Hsiao, Analysis of Panel
Data (Cambridge, U.K.: Cambridge University Press, 1986).
[13]
Several alternative regressions were estimated. The first
alternative regression analyzed data from 1997 to 2006, because the
1995-1996 public assistance registration data may drastically
overstate the number of registrations that can reasonably be
expected from public assistance offices. During 1995-1996, the
debate over welfare reform was at its peak. The political debate
likely led opponents of reform to encourage welfare recipients to
register to vote in an attempt to influence the policy process.
This notion is supported by the fact that average state public
assistance registrations dropped from 115,177 in 1995-1996 to
53,552 in 1997-1998-a decline of 54 percent. When the data are
limited to 1997 to 2006, the coefficient for AFDC/TANF participants
remains positive and statistically significant. The second
alternative specification analyzed data from all years, while
individual time period dummy variables were introduced for the
1997-1998 to 2005-2006 periods. These time period variables control
for differences in reported public assistance registrations between
the first reporting period (1995-1996) and later reporting periods.
In this model, the coefficient for AFDC/TANF participation is
statistically insignificant, while the time period dummy variables
are statistically significant. The third alternative regression
re-estimated the model specification of the second alternative
regression, except that the data were limited to the years of 1997
to 2006. The coefficient for AFDC/TANF participation is
statistically significant, while the time period dummy variable
coefficients are not statistically distinguishable from zero. This
result strongly indicates that the reporting of public assistance
registrations was unusually high in the 1995-1996 period compared
to later reporting periods.