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An Overview of Federal Adoption Policy Legislation: An Economic
Perspective
Mary Eschelbach Hansen and Bradley A. Hansen
Until quite recently, most federal child welfare and adoption
policy has focused on subsidizing the operations of state child
welfare agencies and encouraging the adoption of children in foster
care. This raises issues related to federal spending and its
effectiveness in encouraging desired outcomes. The following
is an excerpt from a research project currently underway at the
Center.
INTRODUCTION Of the 556,000 children in foster care
at the end of fiscal year 2000, 131,000 children were waiting for
adoptive homes. However, just 50,000 adoptions from foster
care were finalized in fiscal year 2001. At least 81,000
children waited into another year. The majority of the waiting
children had been in foster care for more than 30 months. The
children who were adopted in fiscal year 2001 waited an average of
two years after becoming legally free for adoption before their
adoption was finalized. In each year since the
mid-1970s, between 20 and 25 percent of children in foster care has
needed an adoptive family, but despite growth in the number of
adoptions in the U.S., the number of families who adopt through
public agencies has never met more than about 40 percent of the
need. Many of the waiting children are never adopted.
This is not to say that adoption is rare. According to a
recent survey on attitudes regarding adoption, about two of every
three Americans adults report that their lives have been touched by
adoption. One in three has considered adoption as a way to
start or build a family. Private and international adoption
agencies have long waiting lists; agencies are sometimes so
overwhelmed with inquires that they suspend their acceptance of
applications by families altogether. It is sadly ironic that
the number of families in the U.S. who seek children through
adoption is greater than the number of children in foster care who
wait to be adopted. Byron and Deoudes (2002) estimate that if
one in every 500 of the adults who have considered adoption were to
adopt a child from foster care, then the needs of all waiting
children could be met. In this paper we identify, in broad
terms, the federal policy variables that are associated with success
in meeting the needs of waiting children.
Both President
Clinton and President Bush have taken steps to encourage increased
adoptions from foster care, and in 1997 Congress passed the
Adoption and Safe Families Act, the first major federal reform of
adoption and foster care since 1980. Attempts to reform public
policy should be informed by an understanding of the factors that
influence the adoption decision and adoptive placement, but little
economic research has been done on the factors that influence
adoptions from foster care. In the first section below we
summarize federal efforts to encourage adoptions from foster care in
the states. We then present a model of demand for adoption
services, and we present weighted least squares estimates explaining
adoptions from foster care across the states using data for fiscal
years 1996 and 1997. We find that the demand for adoption
services is sensitive to subsidy support; we estimate the elasticity
of demand for adoption services with respect to the subsidy to be
about one. We also find evidence that the price of adoption
from foster care relative to the price of alternatives has an effect
on adoptions. A brief conclusion summarizes the policy
implications of our findings.
A BRIEF HISTORY OF FEDERAL INCENTIVES TO PROMOTE
ADOPTION Since 1978 Congress has tried to promote the
adoption of children from foster care. However, even in years
when the number of adoptions rose, the number of waiting children
rose faster. As the number of waiting children in foster
care climbed, Congress responded to the recurring “foster care
crises” with new adoption incentive programs.
The
first federal adoption incentive was contained in the Child Abuse
Prevention and Treatment and Adoption Reform Act of 1978 (P.L.
95-266 Section 203). The law created a discretionary grants program
to fund state promotion of the adoption of children with so-called
“special needs.” Though the grants program was small relative to
later incentives, the introduction of the term “special needs” has
had a significant impact on adoption. Special needs are
characteristics of a child that can make adoption more
difficult. Special needs can include physical, mental,
learning and emotional disabilities (or risk of these conditions),
older age, minority status, or membership in a sibling group that
ought to be adopted together. Most children who are adopted
from foster care have one or more special needs. States
designate the conditions that constitute special needs in that
state. The definition of special needs is dynamic; states may
change their definitions as circumstances change.
The
Adoption Assistance and Child Welfare Act of 1980 (P.L. 96-272),
which instituted a wide range of changes in the child welfare
system, created the first federal incentive aimed at families who
adopt. The Act amended Section IV-E of the Social Security Act
to authorize monthly adoption assistance subsidies to families
adopting children with special needs. States determine their
own level of adoption assistance subsidy support and are partially
reimbursed through federal appropriations.
The Economic Recovery Tax Act of 1981 created an itemized
deduction of up to $1500 for qualified expenses relating to the
adoption of children with special needs (P.L. 97-34 Section
125). The Tax Reform Act of 1986 (P.L. 99-514) provided
matching funds of up to $1,000 to states that pay the up-front
expenses of the adoption of a child from foster care.
The adoption tax deduction was replaced by the Adoption Tax
Credit in 1996 (P.L. 104-188 Section 1807). The Adoption Tax
Credit was available beginning in tax year 1997 to any family
finalizing an adoption from any source, including an adoption from
foster care. The credit could be taken against up to $5,000 in
qualified expenses for adoption ($6,000 for the adoption of a child
with special needs). An income exclusion of up to $5,000 was
also made available for adoptive parents whose employers offered
reimbursement for adoption expenses. In its study of
utilization of the adoption tax credit, the Department of the
Treasury found that only 15 percent of families who claimed the
credit had adopted a child with special needs, and the tax benefits
to these families was only eight percent of total benefits claimed
(US Dept. of Treasury 2000, 2). Expenses for adoption from
foster care are small, usually zero, because most states use the
1986 provision of federal matching funds to pay the up-front cost of
adoption for families. The result is that most families who
adopt children from foster care receive no benefits from the
Adoption Tax Credit.
The Adoption and Safe Families Act of
1997 (P.L. 105-89) was the most wide-ranging reform of foster care
and adoption policy since 1980. The ASFA swung the focus of
incentives from families to states. States could earn bonus
payments for increasing the number of adoptions from foster
care. Adoptions over the state’s goal earned the state a bonus
of up to $4,000 each (up to $6,000 each for children with special
needs). Unless reauthorized when the 108th Congress
convenes in January 2003, the ASFA bonus payments end with adoptions
finalized in fiscal year 2002.
The ASFA
contained other provisions; most notably the law accelerated the
process for foster care case review and the termination of parental
rights. These other provisions have been widely discussed in
law and social work journals. The ASFA also increased
funding available for post-adoption services and added a new
discretionary grants program that states could use for programs that
support adoption-related goals.
The latest adoption incentive
program began January 1, 2003. The Tax Relief Act of 2001
(P.L. 107-16, Title II, Section 202) swings the focus of federal
incentives back from the states to the family. The Act
institutes a $10,000 unqualified tax credit for each family who
adopts a child with special needs. The unqualified tax credit
will go to families finalizing the adoption of a child with special
needs after January 1, 2003. The tax credit is not
reimbursement of adoption expenses. It is an outright gift
worth a full year or more of tax-free income for most
families. In part because so few families who adopted
children from foster care were able to utilize earlier adoption tax
benefits, it is not known how families considering adoption will
respond to the incentive of the unqualified tax credit.
To
summarize, federal incentives for adoption from foster care have
swung from a focus on the family, to a focus on the state, and back,
without clear evidence on which is more effective. This paper
begins to fill the gap in our knowledge about how families respond
to incentives to promote adoption.
A MODEL OF THE MARKET FOR ADOPTION SERVICES Most
economic research on adoption concerns the relinquishment of infants
and their subsequent adoption. Economists have primarily been
interested in explaining why there are so few infants available for
adoption through private agencies, lawyers, and facilitators, while
there are so many prospective adoptive families who seek healthy
infants. Medoff (1993) and Gennetian (1999) explore the
determinants of relinquishment of infants by birth mothers, and
compare the determinants of relinquishment relative to
abortion. Elizabeth Landes and Richard Posner (1978) develop
an analysis of the market for infant adoption, with an eye towards
recommending policy that would reduce the shortage of infants.
Posner (1992) expands on the argument. Posner concludes that
the birth parents, the adoptive parents, and the children would be
better off if the price mechanism were allowed to function more
freely. Posner posits that fewer prospective adopters would
seek infants if their adoption was more expensive. He further
argues that if birth mothers were fairly compensated more infants
would be available; that is, Posner argues that the supply of
infants available for adoption is upward sloping.
The
number of children in foster care with a goal of adoption does not
depend on the price of adoption services. Children in foster
care are legally freed for adoption only when a court determines
that their birth families cannot provide for their care.
Therefore, our model focuses on demand for adoption
services.
We have chosen the phrase “demand for adoption
services” purposefully. Posner argues that the adoption market
for infants is a market in which parental rights are exchanged.
Critics such as Viviana Zelizer (1981) and Madelyn Freundlich (2000)
denounce this stance as equivalent to baby-selling. Our stance
is closer to that of sociologists and social workers. We do
not model adoption as a market for a child, or a market where
parental rights are sold. Despite well-publicized aberrations,
children who are adopted through agencies (public, private, and
international), lawyers, and facilitators are not simply allocated
to those who are most willing to pay. Adoption is a
professional service. Prospective adoptive families pay to be
matched with the children who they are well-suited to parent, either
by the best judgment of the family or by the best judgment of a
social worker.
An essential feature of the market for
adoption services is its segmentation. The market is segmented
by the characteristics of the children to be adopted. We see
the segmentation of the market as an institutional feature that
helps reduce search costs for prospective adoptive
families. Most private and international adoption
agencies, adoption lawyers, and adoption facilitators promise to
match families with healthy, light-skinned, young children or
infants. Most public agencies, alongside a limited number of
private agencies that contract with public agencies, match families
only with older children and children with special
needs.
Families who consider adoption have obviously
considered adding an additional child to their families.
Several possibilities exist: they may conceive a child (without or
with medical intervention); they may engage a surrogate; they may
foster a child; or they may adopt a child through one of the several
agencies that provide adoption services.
Let us
limit our attention to the choice of adoption agency. For
simplicity, consider two types of adoption services, adoption
services from a domestic public agency and an international
agency. Assume that the adoption services from the two
agencies are perfect substitutes in the eyes of the family, and that
there is less than perfect substitution between adopted children and
all other goods. Then household utility is:
u
= v ( h(αP qP + αI qI), q2, …, qN)
where h
is the subutility function for consumption of adoption
services; qP is the number of children adopted through a
domestic public agency; qI is the number of children
adopted through an international public agency; and αi
represents the expected characteristics of adoption services at
the different agencies, including characteristics of the children
they promise to place. and q2,…, qN are other
goods consumed by the family.
The solution that maximizes family utility when there are only
two sources of adoption services is easy to see because, given the
assumptions, families will have linear indifference curves such as
AB in figure 1. The relative price of adoption through the two
agencies is the slope of the budget constraint CB. Families
choose to adopt through the domestic public agency if the marginal
rate of substitution is higher than the price of adoption services
at the domestic public agency relative to the international agency,
that is, if αP / αI > pP / pI. The lower the
price of adoption services at the public agency relative to the
price of adoption services at the international agency, the more
likely any individual family will be to choose to adopt through the
domestic public agency, and the more common adoptions from foster
care will be in aggregate.
By all accounts, the price of
international and private adoption services is quite high. The
Department of Treasury reports that the average cost of adoptions
claimed by families on their 1998 tax returns was $9,876; 52 percent
of families reported expenses greater than $10,000 (USDOT 2000,
3). In contrast, almost all of the up-front costs of adoption
from foster care are paid by states with help from the federal
government, and the monthly adoption assistance subsidy is available
(again from the states with federal help) for children with special
needs. The model predicts that states that offer greater
subsidy support will have more adoptions of children from foster
care, ceteris paribus. In the next section we measure the
importance of relative prices in adoption services, and we estimate
the elasticity of demand for adoption services from public agencies
with respect to the subsidies.
EMPIRICAL ANALYSIS OF DEMAND FOR ADOPTION SERVICES To
find the elasticity of demand for adoption services with respect to
the subsidy, we estimate the straightforward model:
log
Ai=a + b1 log Si + b2Xi + b3Yi+ ei,
where Ai is
adoptions from foster care in state i , Si is the adoption
assistance subsidy support, and ei is an error term.
The vector X contains information about substitutes for adoption
from foster care, plus other variables that affect demand for
waiting children such as income and age structure of the state
population.
Recall that adoption is a
professional service that matches families with children. The
number of adoptions across the states is likely to vary with the
ability of the states to match waiting children with families.
The ability of a state to match waiting children with families will
depend on child welfare resources, especially available social
worker time, characteristics of the population of the states, and
characteristics of the waiting children in the states. These
are the variables in the vector Y.
The definitions and descriptive statistics of the variables used
in the estimation appear in table 1, and the weighted least squares
regression results appear in table 2.
Adoptions from Foster Care The number of adoptions
from foster care in each state during the federal fiscal year is
reported to the Department of Health and Human Services,
Administration for Children and Families. The
finalization of the adoption of a waiting child is a legal procedure
that takes several months to more than a year to complete.
After a child is placed in the home of her adoptive family, there is
generally a waiting period before the family may file a petition
asking the court to finalize the adoption. The length of the
waiting period varies by state. The date that the adoption is
finalized is also subject to influences beyond the control of either
social workers or adoptive families (for instance, court
delays). For these reasons we introduce a time lag into the
model. We estimate the model using the number of adoptions
finalized in fiscal year 1997, while the independent variables are
for 1996 when the decision about adoption was made.
As might
be expected, there is great variation in the number of adoptions
from foster care between the states. The average number
of adoptions from foster care in 1997 is 608; the standard deviation
is 928. Part of the reason for the large standard deviation is
the difference in the size of the states. In order to remove
the effect of the size of the state, we use as our dependent
variable adoptions per 100,000 persons in the
state. Adoptions per 100,000 average 11.9, and
have standard deviation of 14.8.
Adoption Assistance
Subsidy The first type of subsidy for adoption that we
consider is the monthly adoption assistance subsidy, which was
introduced into federal law in 1980 and aims to reduce the marginal
cost of raising an adopted child with special needs. States
can, and do, supplement the federal adoption assistance
subsidy. The average of the regular adoption assistance
subsidy paid by the states to a family in support of a nine-year-old
adopted child was $361 per month in 1996, with a standard deviation
of $116. After adjusting for variations in the cost of
living between states, the standard deviations of the monthly
subsidy rates falls to $82.
In 1999 over 88 percent of
adoption agreements for waiting children included monthly adoption
assistance subsidy payments (USGAO 2002). There is
indirect evidence that the adoption assistance subsidy is
effective. A report commissioned by the Department of Health
and Human Services on the early implementation of the adoption
assistance subsidy reports that, of families who adopted from foster
care in the mid-1980s, 29 percent said that they would have had had
difficulty adopting their child(ren) without the subsidy, and 35
percent said the availability of the subsidy had a positive
influence on their decision to adopt (Sedlack and Broadhurst 1993,
6-58 and 6-59).
Sedlack and Broadhurst also find that
children adopted with subsidies exited foster care to their adoptive
families more quickly than children adopted without subsidy.
Avery and Mont (1992, 1997) concur, finding that adoption assistance
subsidies reduce waiting times for children with special needs in
their study of New York State. Neither study looks for a
correlation between adoption assistance subsidy support and the
number of adoptive placements.
We find a positive and
statistically significant elasticity of demand for adoption services
with respect to basic adoption assistance subsidy rates. Table
2 shows the range of performance of our model. Column (1)
shows the specification in which we include on the right hand side
only the relevant policy variables. Column (2) controls for
all identified determinants of demand for adoption services.
Our elasticity estimates range from 0.99 to 1.54. In these and
all of the other specifications of the model that we tried, the
coefficient representing the elasticity was statistically
significant.
Suppose that the true elasticity of demand with
respect to the subsidy is one. Then an increase in the average
adoption assistance subsidy of $3.60 per month per child would
increase the number of adoptions by about 1.2 per 100,000
population. Nationally, this adds up to 3,000 additional
adoptions (based on the national population of about 260 million in
1996) at a cost of about $1.3 million annually. The 95 percent
confidence interval of the elasticity estimate is [0.47, 2.61], so
the cost of 3,000 additional adoptions may be as large as $3 million
or as small as $500,000.
Subsidy of Up-Front Cost
of Adoption As discussed above, in addition to the monthly
adoption assistance subsidy, federal law encourages states to
subsidize the up-front cost of adoption from foster care, including
the cost of legal fees. The subsidy of up-front cost is
offered in the form of matching funds to the states, up to $1,000
per adoption. That is, to utilize the full federal subsidy,
the state must reimburse families up to $2,000. Most, but not
all, states utilize the full amount of federal matching funds; the
average maximum subsidy for up-front adoption expenses is
$1,587. We include a dichotomous variable that equals one if
the state chooses not to utilize the full federal subsidy.
States that do not reimburse the full $2,000 of the up-front costs
of adoptions have fewer adoptions from foster care, but the
coefficient is not statistically significant. There is
correlation, however, between offering a high monthly adoption
assistance subsidy and offering the full $2,000 of reimbursement of
up-front costs, so the standard errors may be inflated.
Substitutes for Adoption of Waiting Children The
substitutes for adoption services for waiting children include
infertility treatment, surrogacy, foster parenting, and private and
international agency adoption services, as well as more traditional
conception and child birth practices. We included in our model
the fertility rate and the percent of all unrelated adoptions with
private agency involvement. The signs of the coefficients on
these independent variables are, as expected,
negative.
The coefficient on the percent
of intercountry adoptions is negative and statistically
significant. The strong negative relationship between
intercountry adoption and adoption from domestic foster care
underscores the importance of considering the substitutes for
adoption from foster care in the formulation of public policy.
In 1996, intercountry adoptions comprised 16.6% of unrelated
adoptions. In1996 the Adoption Tax Credit lowered the price of
adoption services at international agencies relative to the price of
adoption services at domestic public agencies. From 1996
through 1999, the number of orphan visas issued by the U.S. State
Department increased 45 percent. How many more children
waiting in foster care might have been adopted if the tax code had
not altered relative prices?
Of particular interest as a
substitute for the adoption of waiting children is foster care. A
majority of waiting children are adopted by their foster parents and
a significant (and increasing) number are adopted by kin who also
serve as foster parents. Many potential adoptive
families clearly face a choice between parenting through adoption
and parenting through long-term foster care. On average,
foster care board rates are greater than adoption subsidy rates:
$371 compared to $360. Twenty-five states set basic adoption
assistance rates equal to the foster care board rate; seven states
set adoption assistance subsidies above foster care board
rates. We test to see if setting adoption subsidy rates above
foster care board rates increases the number of adoptions. As
expected, the estimated effect is positive. This finding again
underscores the importance of further study of relative prices and
incentives in child welfare. We would not argue that foster
care board rates should be lowered, of course, since foster care
board rates do not even equal the average amount spent by families
in support of their children (Laws and OÂ’Hanlon 1999, 28-29).
We would argue, however, that states ought to pay close attention to
the matter of the adoption assistance rate relative to the foster
care board rate.
Median Income and
Demographics Other variables that may affect the demand for
waiting children are the income and age of the population. We
include the median household income for each state as our measure of
income. The median household income in the states was $37,995,
with a standard deviation of $5,594. The National Survey of
Family Growth reveals that women with higher incomes are more likely
to have adopted a child (Chandra et al. 1999, 3). We find
positive correlation between the natural log of median income and
adoptions per 100,000.
We include the percentage of
the population between 25 and 44 years of age as a measure of the
proportion of the population that is likely to be building
families. A larger proportion of the population in this age
range is associated with a more adoptions from foster
care.
Child Welfare Spending Again, we view
adoption as a professional service that matches families with
children. Matching requires resources, especially social
worker time. A public adoption agency may have insufficient
resources to match waiting children with potential adoptive families
in a timely manner. If limited resources results in high
caseloads, social workers may find that after they provide emergency
services to children, reunification services to birth families, and
support services to foster families, they have little time remaining
to provide adoption services. Evidence to support this
hypothesis comes from recent federal funding initiatives. When
states acquired additional funding for child welfare services under
the 1997 Adoption and Safe Families Act, 13 of 46 states used some
or all of their funds to hire or contract additional social work
staff (USGAO 2002, 33).
Our measure of child welfare
resources is 1996 appropriations for child welfare services in each
state, as collected by the Urban Institute. The Urban
Institute reports spending on adoption and spending foster care;
however, by 1996 many states had begun to provide concurrent
planning for children in foster care. Concurrent planning
means that a social worker plans simultaneously for a child’s
reunification with birth parents and for a backup - frequently for
adoption - should reunification efforts prove fruitless. To a
great extent it is impossible to clearly divide child welfare
spending into discrete adoption and foster care categories.
Moreover, spending on adoption includes adoption assistance
subsidies, which are already included in our
estimate.
Child welfare spending per child in
foster care varied greatly between the states. The average
child welfare spending per child in foster care was $13,996, and the
standard deviation was $8,799. Despite the considerable
variation, child welfare spending does not appear to influence
adoptions from foster care. Even if we attribute, as we may,
the low level of statistical significance of the coefficient to
multi-colinearity, the size of the coefficient is so small that to
increase adoptions per 100,000 by one would require additional child
welfare expenditures in the representative state of about $1,100 per
child in care. The average number of children in foster care
in 1996 was 10,442. Therefore, the representative state would
need additional appropriations of at least $11.5 million annually,
or more than a 10 percent increase over average state spending on
child welfare services in 1996.
African-American and
Native American Presence Previous studies of adoption from
foster care have suggested that race is a particularly important
factor influencing the ability of social workers to make matches
between families and waiting children. Both the race of
potential adoptive families and the race of waiting children have
been cited as relevant. Some researchers (most recently by Melosh
(2002)) have suggested that African American families eschew formal
adoption. It is said that, when circumstances require, African
Americans prefer to use informal networks of extended family
care. We therefore control for the size of the African
American community, and we expect that the greater the percentage of
African Americans in the state population, the lower the adoption
rate will be. The sign of the coefficient confirms our
expectations, but the estimated coefficient is small and not
statistically significant.
Finally, we consider the
characteristics of the foster care population. We control for
the number of Native American children in foster care because
placements of Native American children are regulated by the Indian
Child Welfare Act. The ICWA requires that Native American
children be placed for adoption within the tribe whenever possible,
and therefore we expect states with large populations of Native
American children in foster care to have lower adoption rates.
We include a dichotomous variable indicating whether Native American
children comprise 10 percent or more of the foster care population
in the state. We find that the IWCA does not appear to limit
the ability of states to place waiting children with adoptive
families. In fact, states with more
Native American
children in care have more adoptions from foster care. Finally,
discrimination on the basis of race may prevent the adoption of
waiting children. It is mainly Caucasian families who adopt a
child whom they do not know; waiting children are mainly African
American and Hispanic. If Caucasian families are unwilling to
adopt children of color, it will be more difficult to match waiting
children with adoptive families. Even before transracial
adoption became a hotbed of conflict within the field of social work
in the 1970s and 1980s, surveys suggested that race of the child was
a particularly important area of concern for adoptive
families. More recent surveys of adoptive families find a much
smaller role for race, but some families still express strong
preferences about the race, age, number of siblings and disabilities
of children they are willing to adopt.
Just as families may
have preferences about appropriate matches in adoption, social
workers may have their own opinions about matching children and
families with certain characteristics. Sherri Kossoudji (1989,
1997) and Judy Fenster (2000) raise some important questions about
racial bias in child welfare practice. Using Michigan
Department of Social Services data on foster care case openings and
closings, Kossoudji finds that African American children who cannot
be reunified with their birth families move towards permanency more
slowly than Caucasian children. Fenster finds negative
attitudes towards transracial adoption are more common among African
American social workers than among white social workers.
Despite federal efforts to remove race from the list of
considerations in adoption from foster care (see footnote 9), few
transracial placements are made for waiting children. In
a survey of families in California who adopted in the 1980s, 64
percent said they were willing to adopt a black child, but only five
percent of the willing families actually adopted transracially
(Brooks and James 2002). The National Adoption Information
Clearinghouse reports that an estimated 15 percent of the 36,000
adoptions of waiting children in fiscal year 1998 were transracial
or transcultural adoptions.
We were therefore surprised, and
encouraged, to find that states with a greater concentration of
African American children in foster care have more adoptions from
foster care. More research into the reasons for the unexpected
positive correlation is required. Possibly states with higher
concentrations of waiting children who are African American have
been more successful at developing strategies for matching the
children to families or for recruiting prospective adoptive
families.
CONCLUSION We began this paper by arguing that child
welfare policy has not been well informed by economics.
While many questions about adoption policy remain to be answered,
our study of adoption from foster care provides at least three
important insights for economists and policymakers concerned with
child welfare. First, adoption incentives to families
work. Subsidies are an effective way to increase adoptions of
waiting children. Second, families respond not only to the
subsidy for adoption of children with special needs, but also to the
price of adoption from foster care relative to substitutes such as
long-term foster care and intercountry adoption. Policymakers
who seek to encourage adoptions from foster care must simultaneously
consider policy regarding the alternatives. For example,
policies such as tax credits that go primarily towards families who
adopt through private or intercountry agencies are likely to reduce
adoptions from foster care. Finally, differences in
child welfare spending do not appear to explain any of the
differences in adoptions from foster care. More research on
family recruitment and the matching process in adoption is
needed.
Table 1 Summary Statistics
Continuous Variables |
N |
State Average |
Standard Deviation |
Adoptions from Foster Care in 1997 (a) |
51 |
608 |
928 |
Adoptions per 100k Population (b) |
51 |
11.9 |
14.8 |
Monthly Adoption Assistance Subsidy for 9-year-old
(c) |
50 |
$360 |
$103 |
Cost-of-Living Adjusted Adoption Assistance
Subsidy (d) |
50 |
$360 |
$82 |
Births per 1000 Women Age 15-44 (b) |
51 |
63.7 |
6.98 |
Private Adoptions as% of All Unrelated Adoptions
(g) |
51 |
61.3% |
20.4 |
Intercountry Adoption as % of All Unrelated
Adoptions (g) |
51 |
16.6% |
8.82 |
Median Income (b) |
51 |
$37,995 |
$5,594 |
Percent of Population Age 25-44 in 1996 (b) |
51 |
31.2% |
1.96 |
Foster Care Board Rate for 9-year-old (c) |
50 |
$371 |
$81 |
Child Welfare Spending in 1996 (e) |
49 |
$130 mil |
$240 mil |
Child Welfare Spending per Child in Foster Care
(f) |
49 |
$13,996 |
$8,799 |
African Americans as a Percent of Population (h) |
51 |
11.2% |
12.8 |
African Americans as a Percent of Foster Care
Population (f) |
40 |
33.1% |
23.5 |
|
|
|
|
Dichotomous Variables |
|
Yes |
No |
Adoption Subsidy > Foster Care Board Rate |
51 |
7 |
44 |
Reimbursement of adoption expense < $2000 (i) |
48 |
20 |
28 |
Native Americans >= 10 Percent of Foster Care
Population (f) |
51 |
17 |
34 |
Notes and Sources: a. U.S. Department of Health and Human
Services, Administration for Children and Families, Children’s
Bureau, "Adoptions of Children with Public Child Welfare Agency
Involvement by State, revised May 18, 2001," http://www.acf.dhhs.gov/programs/cb
(last accessed June 1, 2002). b. Basic population statistics from
U.S. Census Bureau, Statistical Abstract of the United States:
1997. c. Laws and O’Hanlon (1999). d. Cost of living
index for 1995 from American Federation of Teachers, "AFT Interstate
Cost of Living Index," http://www.aft.org/research/salary/stgrave/col/97.htm
(last accessed January 20, 2003). e. Urban Institute,
"Assessing the New Federalism Databases, State Database," http://www.urban.org/content/Research/Databases/Databases.htm
(last accessed January 5, 2003). f. Foster Care population data
from Child Welfare League of America, National Data Analysis System,
http://ndas.cwla.org/ (last
accessed January 5, 2003). g. National Committee on Adoption
(1999). h. Demographic statistics by race from U.S. Census
Bureau, Statistical Abstract of the United States: 1998. i. North
American Council on Adoptable Children, "Reimbursement of
Non-Recurring Adoption Expenses," http://www.finallyfamily.com/reimbursement.htm
(last accessed June 1, 2002). Table 2
Determinants of Adoptions from Foster Care
Dependent Variable: Log of the Number of Adoptions per 100K
Population in 1997
|
(1) |
(2) |
Log of C-O-L Adjusted Adoption Assistance Subsidy |
0.99* |
1.54* |
|
(.48) |
(0.51) |
Up-front Costs < $2k |
-0.02 |
-0.04 |
|
(0.18) |
(0.17) |
Adoption Subsidy > Foster Care Rate |
0.39 |
0.05 |
|
(0.32) |
(0.33) |
Births Per 1000 Women Age 15-44 |
|
-0.12 |
|
|
(0.02) |
Private Adoptions |
|
-0.01 |
|
|
(0.01) |
Intercountry Adoptions |
|
-0.03* |
|
|
(0.13) |
Log of Median Income |
|
1.58 |
|
|
(1.45) |
Percent of Pop. Age 25-44 |
|
0.03 |
|
|
(0.12) |
Log of Child Welfare Spending per Child |
0.01 |
0.12 |
|
(0.15) |
(0.14) |
African Americans as % of Population |
|
-0.01 |
|
|
(0.02) |
African Americans as % of Foster Care Pop. |
|
0.01 |
|
|
(0.01) |
Native Americans >= 10% of Foster Care Pop. |
|
0.34 |
|
|
(0.20) |
N |
43 |
34 |
R-Squared |
0.27 |
0.63 |
F |
3.07 |
9.54 |
Notes: Weighted by state population; standard errors in
parentheses, adjusted for heteroskedasticity. * indicates
statistical significance at the 95 percent level. Incomplete
data for CA, DE, IA, HA, MD, PA, TX, and VA. Additional states
omitted from specification (2) are CO, DC, KS, MT, ND, NE, OH, OR,
and WY. Sources: See table 2. Figure 1
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