30-Day-FRN

83640

Federal Register / Vol. 88, No. 229 / Thursday, November 30, 2023 / Notices

reflected in observable tradeoffs that
people actually make. For example, it is
possible to ascertain willingness to pay
by observing how much an individual
purchases at different prices. Cohen et
al. (2016) use a rich data set on Uber
rides (a ride sharing app) to assess
individuals’ willingness to pay for a ride
by observing whether they go through
with the purchase after observing the
price. While such detailed data are
rarely available in other contexts,
willingness-to-pay calculations can
often be made even for outcomes that
are never directly priced, such as the
value of a statistical life (VSL).61
Another example is an intervention may
try to reduce teenage overdoses through
an education program. The primary
benefit of such a program would be
reduced mortality, and thus the
applicant would use existing estimates
of the VSL to multiply by the estimated
number of lives saved. Existing
estimates of the VSL are often calculated
by observing how much people are
willing to spend to reduce their risk of
death in certain contexts. For example,
some studies use the additional amount
that a firm must pay its employees to
induce them to work a relatively riskier
job (a compensating differential) to
estimate the VSL. Other studies use
willingness to pay for car features that
will reduce the probability of death in
certain types of accidents but cost more
than equivalent cars without these
features. For further guidance on using
VSL estimates in BCA, consult the
March 2021 Department of
Transportation Guidance, March 2021.62
BCA may rely on revealed preference,
either within the target population, or
based on careful research in other
contexts.
Laura Feiveson,
Deputy Assistant Secretary for
Microeconomics.
[FR Doc. 2023–26174 Filed 11–29–23; 8:45 am]

khammond on DSKJM1Z7X2PROD with NOTICES

BILLING CODE 4810–AK–P
61 Cohen, Peter, Robert Hahn, Jonathan Hall,
Steven Levitt, and Robert Metcalfe. Using big data
to estimate consumer surplus: The case of uber. No.
w22627. National Bureau of Economic Research,
2016. https://www.nber.org/system/files/working_
papers/w22627/w22627.pdf.
62 Department of Transportation, Treatment of the
Value of Preventing Fatalities and Injuries in
Preparing Economic Analyses, 2021. https://
www.transportation.gov/sites/dot.gov/files/2021-03/
DOT%20VSL%20Guidance%20%202021%20Update.pdf.

VerDate Sep<11>2014

17:22 Nov 29, 2023

Jkt 262001

DEPARTMENT OF VETERANS
AFFAIRS
[OMB Control No. 2900–0098]

Agency Information Collection Activity
Under OMB Review: Dependents’
Application for VA Education Benefits
Veterans Benefits
Administration, Department of Veterans
Affairs.
ACTION: Notice.
AGENCY:

In compliance with the
Paperwork Reduction Act (PRA) of
1995, this notice announces that the
Veterans Benefits Administration
(VBA), Department of Veterans Affairs,
will submit the collection of
information abstracted below to the
Office of Management and Budget
(OMB) for review and comment. The
PRA submission describes the nature of
the information collection and its
expected cost and burden, and it
includes the actual data collection
instrument.

SUMMARY:

Written comments and
recommendations for the proposed
information collection should be sent
within 30 days of publication of this
notice by clicking on the following link:
www.reginfo.gov/public/do/PRAMain.
Select ‘‘Currently under Review—Open
for Public Comments’’, then search the
list for the information collection by
Title or ‘‘OMB Control No. 2900–0098.’’
FOR FURTHER INFORMATION CONTACT:
Maribel Aponte, Office of Enterprise
and Integration, Data Governance
Analytics (008), 810 Vermont Ave. NW,
Washington, DC 20420, (202) 266–4688
or email [email protected]. Please
refer to ‘‘OMB Control No. 2900–0098’’
in any correspondence.
SUPPLEMENTARY INFORMATION:
Authority: 38 U.S.C. 3311 (as
amended by Pub. L. 113–146, section
701, effective August 7, 2014), 3513,
3697A, 5113, 5101, 5102, and 5103; 38
CFR 21.3030 and 21.9510.
Title: Dependents’ Application for VA
Education Benefits, VA Form 22–5490.
OMB Control Number: 2900–0098.
Type of Review: Revision of a
currently approved collection.
Abstract: The VA’s Veterans Claims
Examiners use the information from this
collection to help determine whether a
claimant qualifies for DEA or Fry
DATES:

PO 00000

Frm 00110

Fmt 4703

Sfmt 4703

Scholarship benefits. The information
on the form can be obtained only from
the claimant, and an eligibility
determination cannot be made without
the information.
An agency may not conduct or
sponsor, and a person is not required to
respond to a collection of information
unless it displays a currently valid OMB
control number. The Federal Register
Notice with a 60-day comment period
soliciting comments on this collection
of information was published at 88 FR
67452 on Friday, September 29, 2023,
Pages 67452–67453.
Affected Public: Individuals and
Households.
Estimated Annual Burden: 48,983
hours.
Estimated Average Burden Time per
Respondent: 45 and 25 min., (paper and
electronic, respectively).
Frequency of Response: Once.
Estimated Number of Respondents:
83,972.
By direction of the Secretary.
Maribel Aponte,
VA PRA Clearance Officer, Office of
Enterprise and Integration, Data Governance
Analytics, Department of Veterans Affairs.
[FR Doc. 2023–26369 Filed 11–29–23; 8:45 am]
BILLING CODE 8320–01–P

DEPARTMENT OF VETERANS
AFFAIRS
Advisory Committee Charter Renewals
AGENCY:

Department of Veterans Affairs.

Notice of advisory committee
charter renewals.

ACTION:

In accordance with the provisions of
the Federal Advisory Committee Act
(FACA) and after consultation with the
General Services Administration, the
Secretary of Veterans Affairs has
determined that the following Federal
advisory committee is vital to the
mission of the Department of Veterans
Affairs (VA) and renewing its charter
would be in the public interest.
Consequently, the charter for the
following Federal advisory committee is
renewed for a two-year period,
beginning on the dates listed below:

E:\FR\FM\30NON1.SGM

30NON1