Global Economic Intersection
Advertisement
  • Home
  • Economics
  • Finance
  • Politics
  • Investments
    • Invest in Amazon $250
  • Cryptocurrency
    • Best Bitcoin Accounts
    • Bitcoin Robot
      • Quantum AI
      • Bitcoin Era
      • Bitcoin Aussie System
      • Bitcoin Profit
      • Bitcoin Code
      • eKrona Cryptocurrency
      • Bitcoin Up
      • Bitcoin Prime
      • Yuan Pay Group
      • Immediate Profit
      • BitQH
      • Bitcoin Loophole
      • Crypto Boom
      • Bitcoin Treasure
      • Bitcoin Lucro
      • Bitcoin System
      • Oil Profit
      • The News Spy
      • Bitcoin Buyer
      • Bitcoin Inform
      • Immediate Edge
      • Bitcoin Evolution
      • Cryptohopper
      • Ethereum Trader
      • BitQL
      • Quantum Code
      • Bitcoin Revolution
      • British Trade Platform
      • British Bitcoin Profit
    • Bitcoin Reddit
    • Celebrities
      • Dr. Chris Brown Bitcoin
      • Teeka Tiwari Bitcoin
      • Russell Brand Bitcoin
      • Holly Willoughby Bitcoin
No Result
View All Result
  • Home
  • Economics
  • Finance
  • Politics
  • Investments
    • Invest in Amazon $250
  • Cryptocurrency
    • Best Bitcoin Accounts
    • Bitcoin Robot
      • Quantum AI
      • Bitcoin Era
      • Bitcoin Aussie System
      • Bitcoin Profit
      • Bitcoin Code
      • eKrona Cryptocurrency
      • Bitcoin Up
      • Bitcoin Prime
      • Yuan Pay Group
      • Immediate Profit
      • BitQH
      • Bitcoin Loophole
      • Crypto Boom
      • Bitcoin Treasure
      • Bitcoin Lucro
      • Bitcoin System
      • Oil Profit
      • The News Spy
      • Bitcoin Buyer
      • Bitcoin Inform
      • Immediate Edge
      • Bitcoin Evolution
      • Cryptohopper
      • Ethereum Trader
      • BitQL
      • Quantum Code
      • Bitcoin Revolution
      • British Trade Platform
      • British Bitcoin Profit
    • Bitcoin Reddit
    • Celebrities
      • Dr. Chris Brown Bitcoin
      • Teeka Tiwari Bitcoin
      • Russell Brand Bitcoin
      • Holly Willoughby Bitcoin
No Result
View All Result
Global Economic Intersection
No Result
View All Result
Home Uncategorized

Financial Life After The Death Of A Spouse

admin by admin
September 6, 2021
in Uncategorized
0
0
SHARES
2
VIEWS
Share on FacebookShare on Twitter

from the Chicago Fed

— this post authored by Itzik Fadlon, Shanthi Ramnath, Patricia K. Tong, and Lisa Camner McKay

The death of a spouse results in a considerable decline in average income for the surviving spouse. The Social Security survivors benefits program compensates the surviving spouse, most often a woman, for almost all of the lost income, allowing them to work less, but many widows who are not yet eligible for the program struggle to meet their financial needs.

Losing a spouse is devastating. In addition to the emotional grief and personal loss, it also presents a real financial risk to many households. This risk primarily affects women because they are much more likely to be the survivor: In 2016, 78% of all surviving spouses were widows. Women also earn less than men, on average, making the income loss more significant. For individuals aged 55 to 64, wage data from the U.S. Bureau of Labor Statistics shows that on average, women’s yearly earnings are about three-quarters of what men earn.[1]

The authors calculate that Social Security survivors benefits almost fully compensate widows for their income losses from the death of their spouse.

The Social Security survivors benefits program, designed to protect against income losses from the death of a spouse, has rapidly grown into one of the largest safety-net programs in the United States. Yet, there is virtually no causal evidence studying the economic effects of this program. This is the project described in a recent research paper by Itzik Fadlon, Shanthi P. Ramnath, and Patricia K. Tong.[2] The authors study the economic consequences of widowhood and the role that Social Security survivors benefits play in protecting people against the financial shock of this major life event. Fadlon, Ramnath, and Tong find that spousal death results in a considerable decline in household income and that rates of financial insolvency double. The conclusion is clear: Losing a spouse poses real economic hardship. Once surviving spouses become eligible for Social Security’s survivor’s benefits at age 60, however, they are almost fully compensated for their income loss, which allows them to decrease the amount they work (a form of self-insurance). The authors’ analysis suggests that economic outcomes for widows would improve if survivor’s benefits were offered earlier.

Economic consequences of the death of a spouse

Fadlon, Ramnath, and Tong are interested in two key economic outcomes following the death of a spouse. First, they want to know how households’ income changes. Using administrative tax records, they include a large number of different sources of income, including wages, interest, capital income, Social Security income, unemployment benefits, and withdrawals from retirement savings accounts. Second, they measure financial insolvency by looking at whether the widow received Form 1009-C, “Cancellation of Debt.” This form is issued by creditors when debt is canceled, such as due to bankruptcy, foreclosure, or debt relief, and thus indicates that the widow had debt that was not being paid.

To measure how the death of a spouse affects these two economic indicators, Fadlon, Ramnath, and Tong compare the outcomes of two groups of women between the ages of 50 and 70. The first group of 63,700 households lost their spouse in 2002 or 2003 (the treatment group), while the second group of 74,200 households would lose their spouse four years later, in 2006 or 2007 (the control group). The authors then use the outcomes of the control group to construct counterfactual outcomes for the treatment group, which they compare to the treatment group’s actual outcomes. The goal of this analysis is to isolate the causal effect of spousal death.

Individual annual income falls by an average of $5,500 after the death of a spouse and remains at this level for the next two years.

The results show that widowhood is a financial struggle for many. The average annual household income in the three years before a spouse dies is about $75,000 (figure 1). In the three years after the spouse dies, it averages $47,000 a year. But these households have one fewer person and so need less income to maintain the same standard of living. After adjusting for household size, the authors find that individual income falls by an average of $5,500 a year after the death of a spouse and remains at this level for the next two years. This translates to a persistent decline of 11% in an individual’s annual income.

1. Effect of spousal death on household income and financial insolvency

The line charts in figure 1 show how household income and financial insolvency evolve after the death of a spouse. Panel A shows that household income declines rapidly after the death of a spouse. And panel B shows that the rate of financial insolvency is considerably higher for the treatment group than the control group.

Notes: This figure shows how household income and financial insolvency evolve after the death of a spouse, indicated by the vertical line at time 0. For the treatment group, t = 3 is three years after the death of their spouse, while for the control group, t = 3 is one year prior to the death of their spouse. Panel A shows that household income declines slightly before the death of a spouse, then declines rapidly. Panel B shows that the rate of financial insolvency is considerably higher for the treatment group than the control group.

Source: Federal Reserve Bank of Chicago staff presentation.

The rate of financial insolvency also gets worse after the death of a spouse. About 4.5 out of every 1,000 households experience financial insolvency in the year of their spouse’s death (see figure 1), which means that their rate of insolvency is roughly double that of the control group. Together, these results show that Americans are exposed to significant economic risk after the death of a spouse.

Financial protection from Social Security survivors benefits

The Social Security survivors benefits program gives surviving spouses the retirement benefits due to the deceased based on the deceased’s earnings history. Eligibility for these benefits begins at age 60 in most cases. To analyze how well the program works at protecting widows against economic losses, Fadlon, Ramnath, and Tong look at a variety of economic outcomes for newly widowed survivors whose spouse died in the previous one or two years. So if a woman’s husband dies when the wife has just turned 59, what are her economic outcomes in the next year? And how do they compare with those of a woman whose husband dies when she has just turned 60 and therefore is eligible?

The authors show that the percentage of women claiming Social Security benefits increases by 51 percentage points at age 60, the first age of eligibility, meaning that half of these women claim their benefits as soon as they can. The effect on their income is immediate – they gain an average of $4,804, taking their income from roughly $42,300 to $47,200, an increase of 11% (see figure 2). This suggests that Social Security survivors benefits make a big difference for eligible widows, almost fully compensating them for their income losses from the death of their spouse.

The authors make these calculations based on a counterfactual: They look at the behavior of newly widowed spouses between the ages of 55 and 59 (who are ineligible for survivors benefits) and then extend the trend line from that data through age 61, creating a counterfactual that imagines what the outcome would be if there were no survivors benefits. This is the dashed line in figure 2. Then the authors calculate the difference between this counterfactual and the actual outcomes for widows at age 61 to estimate the effect of the benefits program.

2. Effect of eligibility for survivors benefits on benefit claims and household income

The line charts in figure 2 plot household outcomes in the one to two years just after a husband’s death. Panel A shows the survivors benefit amount received and panel B shows net household income as a function of widow’s age. The effect of survivors benefit eligibility is represented by the vertical gap between the solid and the dashed gray lines at age 61.

Notes: This figure plots household outcomes in the one to two years just after a husband’s death. Because eligibility occurs at exactly age 60 but the data (from tax returns) are collected once at the end of the year, it takes until age 61 for the full effect of survivors benefits to become clear. The solid line between ages 60 and 61 is the trend line for the actual data. The dashed line represents the counterfactual behavior in the absence of survivors benefits. Thus the effect of benefit eligibility is represented by the vertical gap between the solid and the dashed gray lines at age 61. Note that this data include all widows, including those who do not choose to claim survivors benefits at age 60.

Source: Fadlon, Ramnath, and Tong (2019).

Labor supply and the life insurance market

Fadlon, Ramnath, and Tong are also interested in newly widowed spouses’ decisions about how much to work, because this provides some information about how well the life insurance market is working. If the life insurance market is working perfectly, there should be no change in labor supply between the just-ineligible and the just-eligible widows, the authors argue. This is because people would be able to buy just the right amount of insurance to cover their consumption needs in case their spouse dies until they become eligible for survivors benefits.

However, the authors find that there is a noticeable change in the amount widows work once they receive survivors benefits: On average, their yearly earnings decline by $1,751. Because the authors estimate that their counterfactual earnings (i.e., their earnings if there were no survivors benefits) would be $18,550, this means that their labor supply declines by 9% as a result of receiving survivors benefits.

Taken together, the fact that household income increases and the labor supply decreases for widows receiving survivors benefits captures “the protective insurance role of survivors benefits against the immediate adverse financial consequences of a spousal death,” the authors write. It also suggests that people don’t buy enough life insurance to allow widows to not have to work more after their spouse dies.

Widowed households’ liquidity problem

Fadlon, Ramnath, and Tong also study the effect of the Social Security survivors benefits program on spouses who were widowed six to ten years before they become eligible. These widows have had years to adjust to the loss of their spouse and anticipate the timing of their government benefits. Economic theory predicts that ideally, most people prefer to “smooth” their consumption over time, consuming approximately the same amount yesterday as today and tomorrow. This is practical because many household expenses are roughly the same month to month (mortgage payments, food costs) and this allows people to keep their lifestyle relatively constant. For similar reasons, people usually smooth their labor supply. This model of economic behavior says that knowing that they will be eligible for government benefits at age 60, widows will attempt to smooth their consumption and labor supply using their savings and by borrowing before age 60. Of course, if households have enough savings or access to credit markets, then they need not change their work behavior much when they become eligible for survivors benefits.

However, in the sample of widows that the authors study, only households in the top quartile of savings actually keep their labor supply and earnings the same when they reach eligibility. These households have enough savings to smooth their income and labor after the death of their spouse, and so they don’t need to adjust their behavior. Households in the lowest quartile of savings, in contrast, change their behavior quite a bit when they become eligible for benefits: Their labor force participation falls by 5 percentage points and their average yearly earnings by $3,291 (see figure 3). The authors find suggestive evidence that these households don’t have enough savings and are unable to borrow to keep them afloat when their spouse dies – in economic terms, they have a liquidity problem. Therefore, when they are finally eligible for benefits, they adjust their work behavior immediately.

3. Labor supply responses by household liquidity

The line charts in figure 3 show labor supply responses to benefit eligibility. The x-axis divides the households into quartiles by their level of liquidity. Panel A shows the change in labor force participation after households become eligible for survivors benefits. Panel B plots the change in wage earnings after households become eligible for survivors benefits. The dashed lines show 95 percent confidence intervals.

Notes: The x-axis divides the households into quartiles by their level of liquidity, as measured by unearned income (e.g., capital gains, interest income). In panel A, the dots plot the change in labor force participation after households become eligible for survivors benefits. The lowest quartile decreases participation by 5 percentage points, whereas the top quartile doesn’t change behavior. In panel B, the dots plot the change in wage earnings after households become eligible for survivors benefits. The lowest quartile’s wage earnings decline by $3,291, while the highest wage earnings do not meaningfully change. The dashed lines show 95% confidence intervals.

Source: Fadlon, Ramnath, and Tong (2019).

Conclusion

When a wife loses her husband before age 60, she must rely on her savings, wages, and any life insurance the couple had previously purchased to meet her economic commitments. Because the life insurance market and credit market do not work perfectly, that usually isn’t enough, and widows suffer financially as a result. Fadlon, Ramnath, and Tong’s findings imply that lowering the eligibility age for the Social Security survivors benefits program – essentially providing smaller benefits over a longer period – could be helpful for households going through difficult times.


Notes

Research by Itzik Fadlon, University of California, San Diego and National Bureau of Economic Research, Shanthi P. Ramnath, Federal Reserve Bank of Chicago, and Patricia K. Tong, RAND Corporation

Summary by Lisa Camner McKay, economics writer

Footnotes

1 U.S. Bureau of Labor Statistics, 2020, “Usual weekly earnings of wage and salary workers: Fourth quarter 2019,” economic news release, Washington, DC, January 17, table 3, available online.

2 Itzik Fadlon, Shanthi P. Ramnath, and Patricia K. Tong, 2019, “Market inefficiency and household labor supply: Evidence from Social Security’s survivor’s benefits,” National Bureau of Economic Research, working paper, No. 25586, revised June. Crossref


Source

https://www.chicagofed.org/publications/chicago-fed-letter/2020/438

Disclaimer

Opinions expressed in this article are those of the author(s) and do not necessarily reflect the views of the Federal Reserve Bank of Chicago or the Federal Reserve System.

Previous Post

Many Colleges Universities Likely To Stay Remote In The Fall

Next Post

Dampening The Impact Of Global Financial Shocks On Emerging Market Economies

Related Posts

Uncategorized

The Best Bitcoin Lottery UK 2022 – An Expert’s Pick!

by admin
February 17, 2022
Uncategorized

Founders Retire. GEI Transferred To New Owner

by admin
September 7, 2021
Uncategorized

27 August 2021 Coronavirus And Recovery News: Denmark Says COVID Is No Longer A Critical Threat – Lifts All Restrictions Starting Next Month

by admin
September 6, 2021
Uncategorized

27Aug2021 Market Close: U.S. Rigs Inch Higher As Prices Recover, WTI Crude Settles At 68.71, DOW Closes Up 243 Points, Nasdaq Up 1.2%, Silver Inches Higher 24.05, Bitcoin 48400

by admin
September 6, 2021
Uncategorized

27Aug2021 Midday Update: SP 500 / Nasdaq Hits Record Highs As Prudent Powell Stands Pat On Policy, DOW Up 217 Points At 12:30 ET, Nasdaq Up 1.1%, Bitcoin 48100

by admin
September 6, 2021
Next Post

Dampening The Impact Of Global Financial Shocks On Emerging Market Economies

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Browse by Category

  • Business
  • Econ Intersect News
  • Economics
  • Finance
  • Politics
  • Uncategorized

Browse by Tags

adoption altcoins banking banks Binance Bitcoin Bitcoin adoption Bitcoin market Bitcoin mining blockchain BTC business China Coinbase crypto crypto adoption cryptocurrency crypto exchange crypto market crypto regulation decentralized finance DeFi Elon Musk ETH Ethereum finance funding inflation investment market analysis markets Metaverse mining NFT NFTs nonfungible tokens nonfungible tokens (NFTs) price analysis regulation Russia technology Tesla the UK the US Twitter

Archives

  • August 2022
  • July 2022
  • June 2022
  • May 2022
  • April 2022
  • March 2022
  • February 2022
  • January 2022
  • December 2021
  • November 2021
  • October 2021
  • September 2021
  • August 2021
  • July 2021
  • June 2021
  • May 2021
  • April 2021
  • March 2021
  • February 2021
  • January 2021
  • December 2020
  • November 2020
  • October 2020
  • September 2020
  • August 2020
  • July 2020
  • June 2020
  • May 2020
  • April 2020
  • March 2020
  • February 2020
  • January 2020
  • December 2019
  • November 2019
  • October 2019
  • September 2019
  • August 2019
  • July 2019
  • June 2019
  • May 2019
  • April 2019
  • March 2019
  • February 2019
  • January 2019
  • December 2018
  • November 2018
  • October 2018
  • September 2018
  • August 2018
  • July 2018
  • June 2018
  • May 2018
  • April 2018
  • March 2018
  • February 2018
  • January 2018
  • December 2017
  • November 2017
  • October 2017
  • September 2017
  • August 2017
  • July 2017
  • June 2017
  • May 2017
  • April 2017
  • March 2017
  • February 2017
  • January 2017
  • December 2016
  • November 2016
  • October 2016
  • September 2016
  • August 2016
  • July 2016
  • June 2016
  • May 2016
  • April 2016
  • March 2016
  • February 2016
  • January 2016
  • December 2015
  • November 2015
  • October 2015
  • September 2015
  • August 2015
  • July 2015
  • June 2015
  • May 2015
  • April 2015
  • March 2015
  • February 2015
  • January 2015
  • December 2014
  • November 2014
  • October 2014
  • September 2014
  • August 2014
  • July 2014
  • June 2014
  • May 2014
  • April 2014
  • March 2014
  • February 2014
  • January 2014
  • December 2013
  • November 2013
  • October 2013
  • September 2013
  • August 2013
  • July 2013
  • June 2013
  • May 2013
  • April 2013
  • March 2013
  • February 2013
  • January 2013
  • December 2012
  • November 2012
  • October 2012
  • September 2012
  • August 2012
  • July 2012
  • June 2012
  • May 2012
  • April 2012
  • March 2012
  • February 2012
  • January 2012
  • December 2011
  • November 2011
  • October 2011
  • September 2011
  • August 2011
  • July 2011
  • June 2011
  • May 2011
  • April 2011
  • March 2011
  • February 2011
  • January 2011
  • December 2010
  • August 2010
  • August 2009

Categories

  • Business
  • Econ Intersect News
  • Economics
  • Finance
  • Politics
  • Uncategorized
Global Economic Intersection

After nearly 11 years of 24/7/365 operation, Global Economic Intersection co-founders Steven Hansen and John Lounsbury are retiring. The new owner, a global media company in London, is in the process of completing the set-up of Global Economic Intersection files in their system and publishing platform. The official website ownership transfer took place on 24 August.

Categories

  • Business
  • Econ Intersect News
  • Economics
  • Finance
  • Politics
  • Uncategorized

Recent Posts

  • South African Reserve Bank Condones Friendly Behavior With Crypto
  • China Slashed Holdings Of U.S. Treasuries For 7th Month
  • Tencent Wants To Divest Meituan Stake Valued At $24B

© Copyright 2021 EconIntersect - Economic news, analysis and opinion.

No Result
View All Result
  • Home
  • Contact Us
  • Bitcoin Robot
    • Bitcoin Profit
    • Bitcoin Code
    • Quantum AI
    • eKrona Cryptocurrency
    • Bitcoin Up
    • Bitcoin Prime
    • Yuan Pay Group
    • Immediate Profit
    • BitIQ
    • Bitcoin Loophole
    • Crypto Boom
    • Bitcoin Era
    • Bitcoin Treasure
    • Bitcoin Lucro
    • Bitcoin System
    • Oil Profit
    • The News Spy
    • British Bitcoin Profit
    • Bitcoin Trader
  • Bitcoin Reddit

© Copyright 2021 EconIntersect - Economic news, analysis and opinion.

en English
ar Arabicbg Bulgarianda Danishnl Dutchen Englishfi Finnishfr Frenchde Germanel Greekit Italianja Japaneselv Latvianno Norwegianpl Polishpt Portuguesero Romanianes Spanishsv Swedish