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Federal Register / Vol. 86, No. 101 / Thursday, May 27, 2021 / Notices Affordability Study methodology and reporting be improved? What time period should be covered in an updated study? Should FIO update the study on a periodic basis, and if so, how frequently?
2. What data should FIO use to update the 2017 FIO Affordability Study? For example, should FIO proceed with the proposed data collection outlined in the 2016 FIO Notice i.e., a request for voluntary production of ZIP Code-level premium data limited to large insurers that have a statutory surplus greater than $500 million and that annually collect more than $500 million of premium for personal auto insurance?
Why or why not? What alternate criteria, if any, would you propose if FIO administers a data collection?
3. Some recent auto insurance affordability analyses have leveraged rating databases to study how quoted policy pricing varies based on demographic and geographic inputs.
Should FIO consider an analysis of affordability using premium quotations?
Why or why not? If yes, what data sources are available?
4. Are there other quantitative approaches that FIO could take to effectively study auto insurance affordability? If yes, what are the approaches and their corresponding, available data sources?

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Non-Driving Related Factors in Personal Auto Insurance Underwriting and Pricing 5. What should be the role of nondriving related factors such as a consumer credit history, homeownership status, census tract, marital status, professional occupation, and educational attainment in personal auto insurance underwriting and pricing?
6. How should FIO assess the use of such non-driving related factors? What principles should be used to distinguish between appropriate and inappropriate use of non-driving related factors in personal auto insurance underwriting and pricing? What metrics could FIO
use to assess the impact of non-driving related factors on the affordability and accessibility of auto insurance? What data sources are available to help assess these factors?
Structural Market Changes in Personal Auto Insurance 7. What drivers of change e.g., specific technology advances, consumer preferences, the entrance of auto manufacturers in underwriting and issuing insurance policies, etc. are currently having, or likely to have, significant effects on the structure of the
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personal auto insurance business?
Please describe these likely impacts and why they are occurring.
8. What responses to the COVID19
pandemicwhether by consumers, the insurance industry, or insurance regulatorshave the greatest likelihood of leading to long-term structural change in auto insurance? How can FIO
evaluate the potential long-term or permanent effects of the pandemic on the personal auto insurance business?
9. What are the biggest challenges and opportunities for the personal auto insurance business resulting from current and anticipated structural changes? How are ongoing structural changes affecting underwriting and pricing practices?
10. Please describe how big data is being used in the personal auto insurance business. What are the benefits and risks to both consumers and insurers in the use of big data, particularly as it relates to auto insurance underwriting and pricing?
11. Please provide your views on how FIO can quantify structural changes to the personal auto insurance market and their potential effects.
General 12. Please provide any additional comments or information on other issues or topics that may be relevant to FIOs work on personal auto insurance, the 2017 FIO Affordability Study, or other related matters.
Steven Seitz, Director, Federal Insurance Office.
FR Doc. 202111167 Filed 52621; 8:45 am BILLING CODE 4810AKP

DEPARTMENT OF THE TREASURY
Agency Information Collection Activities; Submission for OMB
Review; Comment Request; Multiple Internal Revenue Service Information Collection Requests Departmental Offices, U.S.
Department of the Treasury.
ACTION: Notice.
AGENCY:

The Department of the Treasury will submit the following information collection requests to the Office of Management and Budget OMB for review and clearance in accordance with the Paperwork Reduction Act of 1995, on or after the date of publication of this notice. The public is invited to submit comments on these requests.
DATES: Comments must be received on or before June 28, 2021.
SUMMARY:

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Written comments and recommendations for the proposed information collection should be sent within 30 days of publication of this notice to www.reginfo.gov/public/do/
PRAMain. Find this particular information collection by selecting Currently under 30-day ReviewOpen for Public Comments or by using the search function.
FOR FURTHER INFORMATION CONTACT:
Copies of the submissions may be obtained from Molly Stasko by emailing PRA@treasury.gov, calling 202 622
8922, or viewing the entire information collection request at www.reginfo.gov.
SUPPLEMENTARY INFORMATION:
ADDRESSES:

Internal Revenue Service IRS
1. Title: Employee Representatives Quarterly Railroad Tax Return.
OMB Control Number: 15450002.
Type of Review: Extension of a currently approved collection.
Description: Employee representatives file Form CT2 quarterly to report compensation on which railroad retirement taxes are due. The IRS uses this information to ensure that employee representatives have paid the correct tax. Form CT2 also transmits the tax payment.
Form Number: IRS Form CT2.
Affected Public: Individuals or Households.
Estimated Number of Respondents:
112.
Frequency of Response: Quarterly.
Estimated Total Number of Annual Responses: 112.
Estimated Time per Respondent: 1
hour 11minutes.
Estimated Total Annual Burden Hours: 132 hours.
2. Title: Cancellation of Debt.
OMB Control Number: 15451424.
Type of Review: Extension of a currently approved collection.
Description: Form 1099C is used by Federal government agencies, financial institutions, and credit unions to report the cancellation or forgiveness of a debt of $600 or more, as required by section 6050P of the Internal Revenue Code.
The IRS uses the form to verify compliance with the reporting rules and to verify that the debtor has included the proper amount of canceled debt in income on his or her income tax return.
These regulations under section 6050P
of the Internal Revenue Code Code, relating to the rule in 1.6050P
1b2iv that the 36-month nonpayment testing period is an identifiable event triggering an information reporting obligation on Form 1099C for discharge of indebtedness by certain entities.

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