The Role of Defined Benefit and Defined Contribution Plans ...

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Congressional Budget Office A Presentation at the National Tax Association’s 113th Annual Conference November 18, 2020 Nadia Karamcheva, Congressional Budget Office Victoria Perez-Zetune, University of Maryland The Role of Defined Benefit and Defined Contribution Plans in the Distribution of Family Wealth The information in this presentation is preliminary and is being circulated to stimulate discussion and critical comment as developmental work for analysis for the Congress. For further information about the venue, see https://nta.confex.com/nta/2020/meetingapp.cgi/Session/1674 .

Transcript of The Role of Defined Benefit and Defined Contribution Plans ...

Page 1: The Role of Defined Benefit and Defined Contribution Plans ...

Congressional Budget Office

A Presentation at the National Tax Association’s113th Annual Conference

November 18, 2020

Nadia Karamcheva, Congressional Budget Office

Victoria Perez-Zetune, University of Maryland

The Role of Defined Benefit and Defined Contribution Plans in the Distribution of

Family Wealth

The information in this presentation is preliminary and is being circulated to stimulate discussion and critical comment as developmental work for analysis for the Congress. For further information about the venue, see https://nta.confex.com/nta/2020/meetingapp.cgi/Session/1674.

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CBO

How is family wealth in the form of employer-sponsored defined benefit (DB) and defined contribution (DC) plans distributed?

How did the distribution of retirement assets change between 1989 and 2019, and how did it change for families with various socioeconomic characteristics?

How did the phaseout of DB plans affect the concentration of family wealth?

How sensitive are the estimates of wealth concentration to different inputs into the imputation of DB wealth?

Research Questions

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CBO

Defined Contribution and Defined Benefit Plans Between 1989 and 2019

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Financial Accounts of the United States (FAUS)

Provide aggregate assets and liabilities for sectors of the U.S. economy, including aggregate liabilities for defined benefit pensions in Table L.117

Survey of Consumer Finances

Covers the period from 1989 to 2019

Triennial, nationally representative, cross-sectional survey that oversamples the top of the wealth distribution

Key variables related to DB imputation: current defined benefit income, defined benefit participation, expected payment, expected retirement age, respondent and spouse demographics, and earnings

Forbes 400

Supplements the data from the Survey of Consumer Finances with the wealth of the 400 wealthiest people to more accurately capture aggregate wealth and wealth held at the very top of the distribution

Data

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Retirement wealth = DB + DC

Defined benefit assets (DB): assets from employer-sponsored retirement plans that guarantee a certain stream of income in retirement, usually on the basis of (1) a final salary or the highest salary over several years and (2) the number of years of service

Defined contribution assets (DC): assets from employee-sponsored retirement plans associated with a tax-preferred savings account, such as a 401(k)

Net worth (of family wealth) = marketable assets – debt

Marketable assets: assets that are easily tradable and have value after the death of the owner, such as home equity, other real estate (net of real estate loans), financial securities, bank deposits, DC pension accounts, and business equity

Debt: nonmortgage debt, including credit card debt, auto loans, and student loans

Concepts

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Nonretirement wealth = net worth – DC

Augmented family wealth: net worth + DB

The unit of analysis is the family.

Concepts (Continued)

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Defined Benefit

Financial Accounts of the United States

Estimate present value (PV) of DB with payments from current age forward

Current Recipient

Estimate PV of DB with payments beginning at

retirement age

Future: Old Job

Distribute residual proportionally to

estimated PV of DB

Future: Current Job

πΉπ΄π‘ˆπ‘† = π·π΅π‘π‘’π‘Ÿπ‘Ÿ + 𝐷𝐡𝑓𝑒𝑑 π‘œπ‘™π‘‘ + βˆ†π‘Ÿπ‘’π‘ π‘–π‘‘π‘’π‘Žπ‘™

The residual is distributed to current job holders with a DB plan.

Methodology: Imputing Defined Benefit Wealth

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PV of DB for current recipients

Present value of lifetime DB stream from current age to 119

Key inputs: pension income, mortality, discount rate

𝐷𝐡𝑖 =

𝑑=π‘‘π‘Žπ‘”π‘’π‘–

119

π‘Žπ‘šπ‘‘π‘–π‘‘ Γ—1

(1 + π‘Ÿπ‘Žπ‘‘π‘’π‘‘)π‘‘βˆ’ π‘‘π‘Žπ‘”π‘’ 𝑖

Γ— π‘ π‘’π‘Ÿπ‘£π‘–π‘‘

PV of DB from an old job

Present value of lifetime DB stream from the expected retirement age to 119

𝐷𝐡𝑖 =

𝑑=π‘‘π‘Ÿπ‘’π‘‘π‘–

119

π‘Žπ‘šπ‘‘π‘–π‘‘ Γ—1

(1 + π‘Ÿπ‘Žπ‘‘π‘’π‘‘)π‘‘βˆ’ π‘‘π‘Žπ‘”π‘’ 𝑖

Γ— π‘ π‘’π‘Ÿπ‘£π‘–π‘‘

Methodology: Imputing Defined Benefit Wealth (Continued)

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CBO

PV of DB from a current job

Prorated ongoing treatment method: PV of expected DB wealth

– Prorate PV of lifetime DB wealth on the basis of amount of time worked, expected retirement year, and expected DB income

– Individual remains in current job until expected retirement and has an accurate expectation of DB income

𝐷𝐡𝑖 = π‘π‘Ÿπ‘œπ‘Ÿπ‘Žπ‘‘π‘’π‘– Γ—

𝑑=π‘‘π‘Ÿπ‘’π‘‘π‘–

119

π‘Žπ‘šπ‘‘π‘–π‘‘ Γ—1

(1 + π‘Ÿπ‘Žπ‘‘π‘’π‘‘)π‘‘βˆ’ π‘‘π‘Žπ‘”π‘’ 𝑖

Γ— π‘ π‘’π‘Ÿπ‘£π‘–π‘‘

Formula method: estimate PV of DB on the basis of a formula

– maxπ‘¦π‘Ÿπ‘  Γ—maxπ‘€π‘Žπ‘”π‘’ Γ— π‘”π‘’π‘›π‘’π‘Ÿπ‘œπ‘ π‘–π‘‘π‘¦ π‘“π‘Žπ‘π‘‘π‘œπ‘Ÿ

– Key drawback: little information on DB plans’ parameters

Methodology: Imputing Defined Benefit Wealth (Continued)

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1. See Julian P. Cristia, The Empirical Relationship Between Lifetime Earnings and Mortality, Working Paper 2007-11 (Congressional Budget Office, April 2007), www.cbo.gov/publication/19096.

Important methodological inputs in the imputation method

Real and nominal interest rates: used historical rates and those forecast by CBO

Differential mortality: adopted approach from a 2007 working paper that accommodates differential mortality by age, sex, birth cohort, marital status, income, education, and race1

The imputation method aggregates up to all pension liabilities in the Financial Accounts that include the unfunded portion.

That method implies that the unfunded portion of DB liabilities is a liability of the firm and an asset of the household.

Sensitivity analysis performed by varying the inputs one at a time

Methodology: Imputing Defined Benefit Wealth (Continued)

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Family Wealth at Selected Percentiles of the Distribution

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Family Wealth Concentration: Gini Coefficient

0.7

0.72

0.74

0.76

0.78

0.8

0.82

0.84

0.86

0.88

0.9

1989 1992 1995 1998 2001 2004 2007 2010 2013 2016 2019

Ratio

Nonretirement Wealth

Net Worth =Nonretirement Wealth+ DC

Augmented Wealth =Net Worth + DB

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Family Wealth Concentration: Shares of Family Wealth

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Incidence of DC and DB Wealth Among Wealth Groups

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Distribution of Wealth by Family Wealth Quartile

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Distribution of Wealth by Family Income Quartile

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Between 1989 and 2019, retirement wealth became less equally distributed among families with different levels of education or income.

Still, in 2019 as in 1989, retirement wealth, particularly DB assets, remained more equally distributed than nonretirement wealth among those families.

In both 2019 and 1989, DB assets offset some of the inequality in net worth among families with different levels of education or income.

The shift in pension coverage from DB to DC plans might account for some of the increases in the Gini coefficient of augmented wealth and in the share of augmented wealth held by the families in the top 10 percent of the distribution.

Retirement Wealth Among Education and Income Groups

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Share of Wealth Held by Families in the Top 10 Percent of the Wealth Distribution

Preferred Method = prorated method + FA

aggregation + differential mortality (education,

income, race) + Treasury 20-year rate

Alternative 1 = formula method + FA aggregation

+ differential mortality (education, income, race)

+ Treasury 20-year rate

Alternative 2 = prorated method + FA

aggregation + differential mortality (education,

income, race) + constant 3 percent real rate

Alternative 3 = prorated method + FA

aggregation + uniform mortality + Treasury 20-

year rate

Alternative 4 = prorated method + FA

aggregation + uniform mortality + constant

3 percent real rate

Alternative 5 = prorated method + no FA

aggregation + differential mortality (education,

income, race) + Treasury 20-year rate

Alternative 6 = preferred method + only funded

portion of DB

Alternative 7 = formula method + FA aggregation

+ differential mortality (education, race) +

Treasury 20-year rate

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Gini Coefficient: Augmented Wealth

Preferred Method = prorated method + FA

aggregation + differential mortality (education,

income, race) + Treasury 20-year rate

Alternative 1 = formula method + FA

aggregation + differential mortality (education,

income, race) + Treasury 20-year rate

Alternative 2 = prorated method + FA

aggregation + differential mortality (education,

income, race) + constant 3 percent real rate

Alternative 3 = prorated method + FA

aggregation + uniform mortality + Treasury 20-

year rate

Alternative 4 = prorated method + FA

aggregation + uniform mortality + constant

3 percent real rate

Alternative 5 = prorated method + no FA

aggregation + differential mortality (education,

income, race) + Treasury 20-year rate

Alternative 6 = preferred method + only funded

portion of DB

Alternative 7 = formula method + FA

aggregation + differential mortality (education,

race) + Treasury 20-year rate

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Retirement wealth in the form of DB and DC assets is more evenly distributed than other wealth.

DB assets are more evenly distributed than DC assets.

Between 1989 and 2019, retirement wealth has become more concentrated, but it remains less concentrated than nonretirement wealth.

The wealth gap by education and by income has increased over time; the wealth gap remains smaller in DB wealth than in DC or nonretirement wealth.

The phaseout of DB plans probably contributed to the increased concentration of augmented family wealth.

Methodological inputs, such as differential mortality, discount rate, and the allocation of the unfunded portion of DB liabilities, have a relatively small effect on wealth concentration measured as the Gini coefficient or as the share of wealth held at the top 10 percent of the distribution.

Conclusions