Connect with us

Uncategorized

Do Veterans Face Disparities in the Labor Market—And What Accounts for Them?

We continue our series on military service and consider veterans’ earnings and labor market outcomes. We find that veterans earn more than 12 percent…

Published

on

We continue our series on military service and consider veterans’ earnings and labor market outcomes. We find that veterans earn more than 12 percent less and are 4 percentage points (18 percent) more likely to be out of the labor force than comparable nonveterans. Interestingly, accounting for veterans’ differences from comparable nonveterans in terms of education and disability status largely explains these labor market differences.

As in the previous post—recognizing that veterans and nonveterans differ along many dimensions besides veteran status—we construct a comparison group of nonveterans by restricting it to male high school graduates, and reweighting them so that their distributions of age, race, ethnicity, and birthplace match those of veterans. For example, if labor force participation declines with age, then a group that is older on average will also have lower labor force participation. However, differences in labor force participation between groups with the same age distribution are more meaningful.

Veterans Less Likely to be in the Labor Force and Earn Less on Average

Employment Status
Percent

Average Labor Income
U.S. dollars, thousands

Sources: American Community Survey; authors’ calculations.

Unemployment and Earnings

We first see in the left panel that, relative to comparable nonveterans, veterans have lower employment rates, driven by lower labor force participation. In the 2019 five-year American Community Survey (ACS)—the last one before the onset of the COVID-19 pandemic—75 percent of veterans were employed, compared to 79 percent of comparable nonveterans (the employment rate for the general population at the time was around 80 percent). Do veterans have lower employment rates because they are looking for jobs but can’t find them (unemployment) or because they aren’t even looking for jobs (nonparticipation)? The answer is emphatically the latter. Unemployment rates for both veterans and comparable nonveterans were equal at about 3 percent. On the other hand, 22 percent of veterans were out of the labor force, compared with only 18 percent of comparable nonveterans. Relative to a comparable nonveteran, a veteran is about 22 percent more likely to be out of the labor force.

Next, we see that veterans earn less on average than nonveterans. On average, in the 2019 five-year ACS, veterans earned $51,900 per year, while comparable nonveterans earned $59,200—over $7,000 more per year, or over 12 percent more. Although part of this difference is accounted for by lower labor market participation among veterans, if working veterans and nonveterans earned the same wages, the labor force participation difference would explain less than half of the earnings differential.

Education and Disability Differences Mostly Explain Participation Gap

Veteran LFP gap, percent

Sources: American Community Survey; authors’ calculations.

Labor Force Participation

In the opening post of this series, we showed that relative to comparable nonveterans, veterans have lower educational attainment and are more likely to have disabilities. Can these disparities explain the labor market differences we observe here? In the chart above, the leftmost bar shows the unconditional (raw) difference in labor force participation rates for veterans vs. comparable nonveterans—nearly 4 percentage points. The next bar to the right shows this difference accounting for the fact that veterans are much more likely to be disabled than comparable nonveterans. The differential drops by half, to less than 2 percentage points.

The subsequent bar shows the labor force participation difference now accounting for the fact that veterans are less likely to have college and advanced degrees than nonveterans, but not accounting for the disability difference. This is to see whether and how much education, separate from disabilities, can explain labor force participation differentials. The differential accounting for educational differences is lower than the unconditional one, but by less than we saw when accounting for disabilities, about 3 percentage points. Finally, the rightmost bar shows the difference when both education and disability status is accounted for. Conditional on education and disability status, veterans continue to participate in the labor force less than comparable nonveterans do but by a much smaller margin, only 1 percentage point.

Education and Disability Differences Mostly Explain Earnings Gap

Veteran income gap, U.S. dollars

Sources: American Community Survey; authors’ calculations.

We see a similar picture when looking at earnings. The unconditional earnings difference, as discussed above, is roughly $7,000. Accounting for differences in disability status between veterans and nonveterans reduces this gap to slightly under $5,000. Accounting for differences in educational attainment (but not disability status) results in an even larger reduction in this gap, to less than $4,000. This is unlike the picture we had with labor force participation, where disability status rather than educational attainment was a stronger factor playing into the veteran-nonveteran difference. Finally, accounting both for differences in education and in disability status between veterans and comparable nonveterans decreases the earnings gap to under $2,000.

Our analysis does not provide causal effects of veteran status on labor market outcomes. However, it does document large disparities in labor force participation and earnings between veterans and nonveterans who are comparable along a significant number of demographic and geographic dimensions. The differences in education and disability status that we show in the previous post, however, statistically account for most of the veterans’ labor market disparities. More research is needed to look at what are the causal effects of military service on subsequent life outcomes in the post-draft era and how public policies should adjust. Additionally, take note of a new monthly product—Equitable Growth Indicators (EGI)—in which we track data relevant to outcomes by race/ethnicity, gender, income, age, veteran status, and geography. The charts and brief takeaways shed light on disparities in people’s experience of inflation, earnings, employment, and consumer spending.

Rajashri Chakrabarti is the head of Equitable Growth Studies in the Federal Reserve Bank of New York’s Research and Statistics Group.  

Dan Garcia is a research analyst in the Federal Reserve Bank of New York’s Research and Statistics Group.

Maxim Pinkovskiy is an economic research advisor in Equitable Growth Studies in the Federal Reserve Bank of New York’s Research and Statistics Group.

How to cite this post:
Rajashri Chakrabarti, Dan Garcia, and Maxim Pinkovskiy, “Do Veterans Face Disparities in the Labor Market—And What Accounts for Them?,” Federal Reserve Bank of New York Liberty Street Economics, May 25, 2023, https://libertystreeteconomics.newyorkfed.org/2023/05/do-veterans-face-disparities-in-the-labor-market-and-what-accounts-for-them/.


Disclaimer
The views expressed in this post are those of the author(s) and do not necessarily reflect the position of the Federal Reserve Bank of New York or the Federal Reserve System. Any errors or omissions are the responsibility of the author(s).

Read More

Continue Reading

Uncategorized

Aging at AACR Annual Meeting 2024

BUFFALO, NY- March 11, 2024 – Impact Journals publishes scholarly journals in the biomedical sciences with a focus on all areas of cancer and aging…

Published

on

BUFFALO, NY- March 11, 2024 – Impact Journals publishes scholarly journals in the biomedical sciences with a focus on all areas of cancer and aging research. Aging is one of the most prominent journals published by Impact Journals

Credit: Impact Journals

BUFFALO, NY- March 11, 2024 – Impact Journals publishes scholarly journals in the biomedical sciences with a focus on all areas of cancer and aging research. Aging is one of the most prominent journals published by Impact Journals

Impact Journals will be participating as an exhibitor at the American Association for Cancer Research (AACR) Annual Meeting 2024 from April 5-10 at the San Diego Convention Center in San Diego, California. This year, the AACR meeting theme is “Inspiring Science • Fueling Progress • Revolutionizing Care.”

Visit booth #4159 at the AACR Annual Meeting 2024 to connect with members of the Aging team.

About Aging-US:

Aging publishes research papers in all fields of aging research including but not limited, aging from yeast to mammals, cellular senescence, age-related diseases such as cancer and Alzheimer’s diseases and their prevention and treatment, anti-aging strategies and drug development and especially the role of signal transduction pathways such as mTOR in aging and potential approaches to modulate these signaling pathways to extend lifespan. The journal aims to promote treatment of age-related diseases by slowing down aging, validation of anti-aging drugs by treating age-related diseases, prevention of cancer by inhibiting aging. Cancer and COVID-19 are age-related diseases.

Aging is indexed and archived by PubMed/Medline (abbreviated as “Aging (Albany NY)”), PubMed CentralWeb of Science: Science Citation Index Expanded (abbreviated as “Aging‐US” and listed in the Cell Biology and Geriatrics & Gerontology categories), Scopus (abbreviated as “Aging” and listed in the Cell Biology and Aging categories), Biological Abstracts, BIOSIS Previews, EMBASE, META (Chan Zuckerberg Initiative) (2018-2022), and Dimensions (Digital Science).

Please visit our website at www.Aging-US.com​​ and connect with us:

  • Aging X
  • Aging Facebook
  • Aging Instagram
  • Aging YouTube
  • Aging LinkedIn
  • Aging SoundCloud
  • Aging Pinterest
  • Aging Reddit

Click here to subscribe to Aging publication updates.

For media inquiries, please contact media@impactjournals.com.


Read More

Continue Reading

Uncategorized

NY Fed Finds Medium, Long-Term Inflation Expectations Jump Amid Surge In Stock Market Optimism

NY Fed Finds Medium, Long-Term Inflation Expectations Jump Amid Surge In Stock Market Optimism

One month after the inflation outlook tracked…

Published

on

NY Fed Finds Medium, Long-Term Inflation Expectations Jump Amid Surge In Stock Market Optimism

One month after the inflation outlook tracked by the NY Fed Consumer Survey extended their late 2023 slide, with 3Y inflation expectations in January sliding to a record low 2.4% (from 2.6% in December), even as 1 and 5Y inflation forecasts remained flat, moments ago the NY Fed reported that in February there was a sharp rebound in longer-term inflation expectations, rising to 2.7% from 2.4% at the three-year ahead horizon, and jumping to 2.9% from 2.5% at the five-year ahead horizon, while the 1Y inflation outlook was flat for the 3rd month in a row, stuck at 3.0%. 

The increases in both the three-year ahead and five-year ahead measures were most pronounced for respondents with at most high school degrees (in other words, the "really smart folks" are expecting deflation soon). The survey’s measure of disagreement across respondents (the difference between the 75th and 25th percentile of inflation expectations) decreased at all horizons, while the median inflation uncertainty—or the uncertainty expressed regarding future inflation outcomes—declined at the one- and three-year ahead horizons and remained unchanged at the five-year ahead horizon.

Going down the survey, we find that the median year-ahead expected price changes increased by 0.1 percentage point to 4.3% for gas; decreased by 1.8 percentage points to 6.8% for the cost of medical care (its lowest reading since September 2020); decreased by 0.1 percentage point to 5.8% for the cost of a college education; and surprisingly decreased by 0.3 percentage point for rent to 6.1% (its lowest reading since December 2020), and remained flat for food at 4.9%.

We find the rent expectations surprising because it is happening just asking rents are rising across the country.

At the same time as consumers erroneously saw sharply lower rents, median home price growth expectations remained unchanged for the fifth consecutive month at 3.0%.

Turning to the labor market, the survey found that the average perceived likelihood of voluntary and involuntary job separations increased, while the perceived likelihood of finding a job (in the event of a job loss) declined. "The mean probability of leaving one’s job voluntarily in the next 12 months also increased, by 1.8 percentage points to 19.5%."

Mean unemployment expectations - or the mean probability that the U.S. unemployment rate will be higher one year from now - decreased by 1.1 percentage points to 36.1%, the lowest reading since February 2022. Additionally, the median one-year-ahead expected earnings growth was unchanged at 2.8%, remaining slightly below its 12-month trailing average of 2.9%.

Turning to household finance, we find the following:

  • The median expected growth in household income remained unchanged at 3.1%. The series has been moving within a narrow range of 2.9% to 3.3% since January 2023, and remains above the February 2020 pre-pandemic level of 2.7%.
  • Median household spending growth expectations increased by 0.2 percentage point to 5.2%. The increase was driven by respondents with a high school degree or less.
  • Median year-ahead expected growth in government debt increased to 9.3% from 8.9%.
  • The mean perceived probability that the average interest rate on saving accounts will be higher in 12 months increased by 0.6 percentage point to 26.1%, remaining below its 12-month trailing average of 30%.
  • Perceptions about households’ current financial situations deteriorated somewhat with fewer respondents reporting being better off than a year ago. Year-ahead expectations also deteriorated marginally with a smaller share of respondents expecting to be better off and a slightly larger share of respondents expecting to be worse off a year from now.
  • The mean perceived probability that U.S. stock prices will be higher 12 months from now increased by 1.4 percentage point to 38.9%.
  • At the same time, perceptions and expectations about credit access turned less optimistic: "Perceptions of credit access compared to a year ago deteriorated with a larger share of respondents reporting tighter conditions and a smaller share reporting looser conditions compared to a year ago."

Also, a smaller percentage of consumers, 11.45% vs 12.14% in prior month, expect to not be able to make minimum debt payment over the next three months

Last, and perhaps most humorous, is the now traditional cognitive dissonance one observes with these polls, because at a time when long-term inflation expectations jumped, which clearly suggests that financial conditions will need to be tightened, the number of respondents expecting higher stock prices one year from today jumped to the highest since November 2021... which incidentally is just when the market topped out during the last cycle before suffering a painful bear market.

Tyler Durden Mon, 03/11/2024 - 12:40

Read More

Continue Reading

Uncategorized

Homes listed for sale in early June sell for $7,700 more

New Zillow research suggests the spring home shopping season may see a second wave this summer if mortgage rates fall
The post Homes listed for sale in…

Published

on

  • A Zillow analysis of 2023 home sales finds homes listed in the first two weeks of June sold for 2.3% more. 
  • The best time to list a home for sale is a month later than it was in 2019, likely driven by mortgage rates.
  • The best time to list can be as early as the second half of February in San Francisco, and as late as the first half of July in New York and Philadelphia. 

Spring home sellers looking to maximize their sale price may want to wait it out and list their home for sale in the first half of June. A new Zillow® analysis of 2023 sales found that homes listed in the first two weeks of June sold for 2.3% more, a $7,700 boost on a typical U.S. home.  

The best time to list consistently had been early May in the years leading up to the pandemic. The shift to June suggests mortgage rates are strongly influencing demand on top of the usual seasonality that brings buyers to the market in the spring. This home-shopping season is poised to follow a similar pattern as that in 2023, with the potential for a second wave if the Federal Reserve lowers interest rates midyear or later. 

The 2.3% sale price premium registered last June followed the first spring in more than 15 years with mortgage rates over 6% on a 30-year fixed-rate loan. The high rates put home buyers on the back foot, and as rates continued upward through May, they were still reassessing and less likely to bid boldly. In June, however, rates pulled back a little from 6.79% to 6.67%, which likely presented an opportunity for determined buyers heading into summer. More buyers understood their market position and could afford to transact, boosting competition and sale prices.

The old logic was that sellers could earn a premium by listing in late spring, when search activity hit its peak. Now, with persistently low inventory, mortgage rate fluctuations make their own seasonality. First-time home buyers who are on the edge of qualifying for a home loan may dip in and out of the market, depending on what’s happening with rates. It is almost certain the Federal Reserve will push back any interest-rate cuts to mid-2024 at the earliest. If mortgage rates follow, that could bring another surge of buyers later this year.

Mortgage rates have been impacting affordability and sale prices since they began rising rapidly two years ago. In 2022, sellers nationwide saw the highest sale premium when they listed their home in late March, right before rates barreled past 5% and continued climbing. 

Zillow’s research finds the best time to list can vary widely by metropolitan area. In 2023, it was as early as the second half of February in San Francisco, and as late as the first half of July in New York. Thirty of the top 35 largest metro areas saw for-sale listings command the highest sale prices between May and early July last year. 

Zillow also found a wide range in the sale price premiums associated with homes listed during those peak periods. At the hottest time of the year in San Jose, homes sold for 5.5% more, a $88,000 boost on a typical home. Meanwhile, homes in San Antonio sold for 1.9% more during that same time period.  

 

Metropolitan Area Best Time to List Price Premium Dollar Boost
United States First half of June 2.3% $7,700
New York, NY First half of July 2.4% $15,500
Los Angeles, CA First half of May 4.1% $39,300
Chicago, IL First half of June 2.8% $8,800
Dallas, TX First half of June 2.5% $9,200
Houston, TX Second half of April 2.0% $6,200
Washington, DC Second half of June 2.2% $12,700
Philadelphia, PA First half of July 2.4% $8,200
Miami, FL First half of June 2.3% $12,900
Atlanta, GA Second half of June 2.3% $8,700
Boston, MA Second half of May 3.5% $23,600
Phoenix, AZ First half of June 3.2% $14,700
San Francisco, CA Second half of February 4.2% $50,300
Riverside, CA First half of May 2.7% $15,600
Detroit, MI First half of July 3.3% $7,900
Seattle, WA First half of June 4.3% $31,500
Minneapolis, MN Second half of May 3.7% $13,400
San Diego, CA Second half of April 3.1% $29,600
Tampa, FL Second half of June 2.1% $8,000
Denver, CO Second half of May 2.9% $16,900
Baltimore, MD First half of July 2.2% $8,200
St. Louis, MO First half of June 2.9% $7,000
Orlando, FL First half of June 2.2% $8,700
Charlotte, NC Second half of May 3.0% $11,000
San Antonio, TX First half of June 1.9% $5,400
Portland, OR Second half of April 2.6% $14,300
Sacramento, CA First half of June 3.2% $17,900
Pittsburgh, PA Second half of June 2.3% $4,700
Cincinnati, OH Second half of April 2.7% $7,500
Austin, TX Second half of May 2.8% $12,600
Las Vegas, NV First half of June 3.4% $14,600
Kansas City, MO Second half of May 2.5% $7,300
Columbus, OH Second half of June 3.3% $10,400
Indianapolis, IN First half of July 3.0% $8,100
Cleveland, OH First half of July  3.4% $7,400
San Jose, CA First half of June 5.5% $88,400

 

The post Homes listed for sale in early June sell for $7,700 more appeared first on Zillow Research.

Read More

Continue Reading

Trending