October 25, 2024
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Chapter 2022-218, Laws of Florida, required the Florida
Clerks of Court Operations Corporation (CCOC) and the clerks
of court to establish, by or after July 1, 2023, a statewide
database of guardian and guardianship information. The law
also directed OPPAGA to analyze data compiled in the
statewide database and conduct a comparative analysis of
guardianship laws in other states. This is the first in a
series of four reports. The CCOC is in the process of
developing a database of statewide guardianship information
for judges and clerks and a publicly accessible website. For
each professional guardian, the database must include
registration status, disciplinary history, compliance with
qualifications, and status of required reports. The database
must be searchable by the name of the petitioner, ward,
guardian, and legal counsel; demographic information of the
ward; location of the guardian's office; name of the judge
and circuit; and the number of wards served by each
guardian. OPPAGA found that CCOC encountered several
challenges in creating the database, including lack of
standardization across data systems and the absence of
processes for capturing required data elements. CCOC has
found ways to address many of the challenges and anticipates
that the database and the accompanying website will be
launched in November 2024. OPPAGA examined the guardianship
laws in other states in three areas related to safeguards
against abuse by guardians to see how other states compare
to Florida in providing protections for wards. As many of
the states OPPAGA identified do, Florida requires a criminal
background check for professional guardians. Florida is 1 of
9 states that OPPAGA identified that require a financial
background check and 1 of 17 states that require
professional guardians to be registered or certified.
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Source: Office of Program Policy Analysis and Government
Accountability
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Reentry from incarceration, in general, can be a challenging
time for people as they are preparing to transition back
into the community. For people with a substance use
disorder, reentry is even more challenging because of the
potential to relapse and experience overdose. People in
reentry are at highest risk of an overdose or even death
during the first 48 hours of reentry, and that risk
continues 2 weeks following release into the community. This
risk is highest among people using opioids. Studies show
that family support can improve outcomes for a person in
treatment, however, and is a significant factor in
predicting long-term recovery. This guide outlines ways to
support a family member or loved one and evidence-based
strategies for achieving recovery, including tips for
families who want to support these efforts. Key strategies
include consistent sleep, a healthy diet, daily exercise,
work or school routine, and support groups.
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Source: The Council of State Governments: Justice Center
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In 2024-25, the average published (sticker) tuition and fees
for full-time undergraduate students at public four-year
in-state was $11,610, $300 higher than in 2023-24 (2.7%
before adjusting for inflation). Between 1994-95 and
2024-25, the average published tuition and fees increased
from $2,780 to $4,050 for public two-year in-district
students, from $5,740 to $11,610 for public four-year
in-state students, and from $24,840 to $43,350 for private
nonprofit four-year students, after adjusting for inflation.
Between 2016-17 and 2021-22, federal appropriations and
government grants and contracts per student increased by 38%
at public doctoral institutions and more than doubled at
other types of public institutions, after adjusting for
inflation. Between fall 2019 (pre-COVID-19) and fall 2022,
total postsecondary enrollment declined by 1,043,200
(5%)—from 19.5 million to 18.5 million. Total undergraduate
enrollment declined by 7% (from 16.4 million to 15.3
million) and total graduate enrollment increased by 3.5%
(from 3.066 million to 3.174 million).
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Source: College Board
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In the social sciences, the term peer effects has been used
to describe the various ways in which individual behaviors
and attitudes can be influenced by friends, acquaintances,
and the wider social environment. Due to the crucial role of
social interactions within the school context, the role of
peers in shaping academic outcomes has been extensively
studied. However, estimation of peer effects n is
complicated by several major problems some of which cannot
be solved even with random assignment. This study designed a
field experiment and proposes a new estimation technique to
address these estimation problems including the mechanical
problems associated with repeated observations within peer
groups. The field experiment randomly assigns students to
one-to-one partnerships in an important gateway STEM course
at a large public university. The research team find no
evidence of peer effects from estimates of exogenous peer
effect models. The research team push further and estimate
outcome-on-outcome models which sometimes reveal peer
effects when exogenous models do not provide good proxies
for ability. The research team find some limited evidence of
small, positive outcome-on-outcome peer effects (which would
have been missed without our new estimation technique).
Standard estimation methods fail to detect peer effects and
even return negative estimates in our Monte Carlo
simulations because of the downward bias due to mechanical
problems. Simulations reveal additional advantages of our
technique especially when peer group sizes are fixed.
Estimates of non-linear effects, heterogeneous effects, and
different measures of peer ability and outcomes reveal
mostly null effects but the research team find some evidence
that low-ability peers negatively affect low-ability and
medium-ability students. The findings in this setting of
long-term, intensive interactions with classroom random
assignment and “throwing everything at it” provide evidence
of, at most, small positive peer effects contrasting with
the common finding of large peer effects in previous studies
in education.
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Source: National Bureau of Economic Research
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This study found that the 2023 national official poverty
rate of children under 18 was higher than the child
Supplemental Poverty Measure (SPM). The SPM is a measure of
economic deprivation—having insufficient financial resources
to achieve a specified standard of living. The SPM addresses
some of the limitations of the official poverty measure,
without supplanting it outright. Both the SPM and the
official measure determine the poverty status of people and
families by comparing their financial resources against
poverty thresholds that are valued in dollars. California,
Maryland, Massachusetts and New Jersey were the only four
states where the SPM child poverty rate was not
statistically lower than the official child poverty rate
(which for this analysis includes unrelated individuals
under 15). The official rate was higher than the child SPM
rate in 46 states and the District of Columbia. The SPM and
official poverty measures each provide distinct indicators
of the nation’s economic well-being. The SPM broadens the
official poverty measure by accounting for government
programs designed to assist low-income families that are not
included in the official poverty rate. In 2021, the national
child SPM rate was its lowest ever at 5.2%, which was mostly
attributed to the 1-year expanded Child Tax Credit. The rate
increased to 12.4% in 2022 and 13.7% in 2023, after the
expansion expired. Utah was among the states with the lowest
official poverty rate (7.0%) and New Mexico among the states
with the highest (27.4%). Nebraska had one of the lowest SPM
poverty rates (3.6%) and District of Columbia had one of the
highest (15.5%). There were no states where the child SPM
rate was statistically higher than the official child
poverty rate.
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Source: U.S. Department of Commerce, Census Bureau
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Sociologists have argued that “third places” like cafés,
which provide opportunities for individuals to socialize and
exchange ideas outside of home and work, improve
neighborhood life. But what about the relationship between
such places and economic activity? Data on U.S. business
registrations between 1990 and 2022 from the Startup
Cartography Project to examine whether the opening of a
Starbucks in a neighborhood with no previous cafés affects
local entrepreneurship. The researchers hypothesize that
Starbucks can boost entrepreneurship through two mechanisms:
network building and signaling. Starbucks’s business model,
inspired by European cafés, provides a social setting for
individuals to congregate, in contrast to typical U.S.
coffee shops of the 1980s that focused primarily on selling
food and drink. Additionally, the introduction of a
Starbucks may signal that an area is poised for growth, a
phenomenon real estate professionals term “The Starbucks
Effect” due to the tendency of real estate prices to rise in
neighborhoods close to a new Starbucks. Neighborhoods in
which a Starbucks opened experienced an increase of 3.5
additional startups per year over the next seven years, an
11.8%, compared to those where a Starbucks had been planned
but did not open. When comparing the Starbucks-opening
locations to all census tracts without prior coffee shops,
the effect decreases to a rise of 1.1 startups.
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Source: National Bureau of Economic Research
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In the early 2000s, the U.S. had an oversupply of houses,
which led to the collapse of housing prices and triggered
the Global Financial Crisis of 2007-9. But since then, the
notion that the U.S. is currently suffering from a “housing
shortage” has been widely accepted by politicians, the
public, and the press. Housing costs are high on the worry
list for many voters; hence candidates’ eagerness to offer
solutions. Economists generally look at prices to gauge when
demand is growing faster than supply, but this post focuses
on headline-making estimates that try to quantify the
shortage of housing. The estimates of the housing shortage
most often quoted in the press, by politicians and by White
House economists, rely on vacancy rates—the number of vacant
homes as a share of all housing units—as a key indicator.
Government measures show the vacancy rate rising until 2010
and falling since. These estimates essentially see a vacancy
rate lower than a historical norm as a sign of a housing
shortage, which puts upward pressure on home prices and
rents. This resembles the way economists compare the current
unemployment rate to estimates of the unemployment rate that
is consistent with stable inflation. Looking across all 290
metro areas, the National Association of Home Builders’
(NAHB) estimate of the 2021 American Community Survey
(ACS)finds the vacancy-rate among owner-occupied homes
dropped below 0.9% and rental vacancy rates hit 5.2%, the
lowest level recorded since the ACS began generating these
data in 2005. The NAHB estimates that in metro areas with
very low vacancy rates (that is, not counting communities
with abnormally high vacancy rates), it would take 1.5
million units (800,000 rental and 750,000 for sale) to
restore “long-run equilibrium.”
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Source: Brookings Institute
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This report describes differences in the experience of
family food insecurity in the past 30 days among working
adults ages 18–64 by selected work conditions. In 2021, 4.4%
of working adults ages 18–64 lived in families experiencing
food insecurity. Differences in family food insecurity by
work conditions persisted even after adjusting for potential
confounders. After adjustment, those working rotating or
other types of shifts were more likely to report family food
insecurity (5.7%) compared with day shift workers (4.0%).
Workers who reported that it was very difficult or somewhat
difficult to change their work schedule were more likely to
experience family food insecurity (6.3%) than workers who
reported it was very easy or somewhat easy to change their
work schedule (3.8%). Food insecurity also varied by monthly
change in earnings, from 3.9% among workers whose earnings
did not change to 5.5% among workers whose earnings changed
at least a moderate amount from month to month.
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Source: U.S. Department of Health and Human Services,
Centers for Disease Control and Prevention
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The U.S. Substance Abuse and Mental Health Services
Administration’s Projects for Assistance in Transition from
Homelessness (PATH) program provides services for people
with serious mental illness, or co-occurring mental illness
and substance use disorders, who are also are experiencing
homelessness or are at risk of soon becoming homeless. The
Triennial Process Evaluation uses data from 2019, 2020, and
2021 to understand the services provided by grantees. The
evaluation conclusions include that (1) staff retention and
extensive data requirements for PATH are the two most
prevalent issues for service provider agencies interviewed
for this report; and (2) the lack of affordable housing
options for PATH clients presents a hard limit to the
effectiveness of PATH services. Stable housing is a critical
social determinant of mental health, even more so for older
adults with mental illness. When housing options are scarce,
PATH clients are less likely to achieve housing stability
and less likely to fully benefit from mental health services.
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Source: U.S. Department of Health and Human Services,
Substance Abuse and Mental Health Services Administration
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Government Program Summaries (GPS) is a free resource for legislators and the public that provides descriptive information on over 200 state government programs. To provide fiscal data, GPS links to Transparency
Florida, the Legislature's website that includes continually updated information on the state's operating budget and daily expenditures by state agencies.
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A publication of the Florida Legislature's Office of Program Policy Analysis and Government Accountability.
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As a joint legislative unit, OPPAGA works with both the
Senate and the House of Representatives to conduct
objective research, program reviews, and contract
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PolicyNotes, published every Friday, features reports, articles, and websites with timely information of interest to policymakers and researchers. Any opinions, findings, conclusions, or recommendations
expressed by third parties as reported in this publication are those of the author(s) and do not necessarily reflect OPPAGA's views.
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