Liberty Street Economics
Return to Liberty Street Economics Home Page

26 posts on "Demographics"
November 15, 2024

To Whom It May Concern: Demographic Differences in Letters of Recommendation

Photo of an Asian female college student in the library in front of shelves of books looking at her laptop and taking notes with books on the desk beside her.

Letters of recommendation from faculty advisors play a critical role in the job market for Ph.D. economists. At their best, they can convey important qualitative information about a candidate, including the candidate’s potential to generate impactful research. But at their worst, these letters offer a subjective view of the candidate that can be susceptible to conscious or unconscious bias. There may also be similarity or affinity bias, a particularly difficult issue for the economics profession, where most faculty members are white men. In this post, we draw on our recent working paper to describe how recommendation letters differ by the gender, race, or ethnicity of the job candidate and how these differences are related to early career outcomes.

February 7, 2024

Racial and Ethnic Wealth Inequality in the Post‑Pandemic Era

Editor’s note: Since this post was first published, the authors updated their analysis to focus on the household level of wealth rather than the aggregate level. Please refer to the new blog post and findings here Racial and Ethnic Inequalities in Household Wealth Persist. (June 28, @ 7:19am)

Decorative illustration: 3 people on a pedestal. Whose net worth increased?

Wealth is unevenly distributed across racial and ethnic groups in the United States. In this first post in a two-part series on wealth inequality, we use the Distributional Financial Accounts (DFA) to document these disparities between Black, Hispanic, and white households from the first quarter of 2019 to the third quarter of 2023 for wealth and a variety of asset and liability categories. We find that these disparities have been exacerbated since the pandemic, likely due to rapid growth in the financial assets more often held by white individuals.

January 18, 2024

The Power of Proximity: How Working beside Colleagues Affects Training and Productivity

Firms remain divided about the value of the office for “office” workers. Some firms think that their employees are more productive when working from home. Others believe that the office is a key place for investing in workers’ skills. In this post, which is based on a recent working paper, we examine whether both sides could be right: Could working in the office facilitate investments in workers’ skills for tomorrow that diminish productivity today?

December 1, 2023

Recent Disparities in Earnings and Employment

Dectorative image of collage of polaroids of diverse group of people portraits.

The New York Fed recently released its latest set of Equitable Growth Indicators (EGIs). Updated quarterly, the EGIs continue to report demographic and geographic differences in inflation, earnings (real and nominal), employment, and consumer spending (real and nominal) at the national level. This release also launches a set of national wealth EGIs (which will be examined more closely on Liberty Street Economics early next year). Going forward, EGI releases will also include a set of regional EGIs, which will present disparities in inflation, earnings (real and nominal), employment, and consumer spending (real and nominal) in our region. Drawing on the just released EGIs, in this post, we present recent gender gaps in the labor market at the national and regional levels. We provide a picture of how gender wage and employment disparities have evolved since the pandemic, examining and contrasting gaps at the national and regional level. We find that the gaps between the employment rates and earnings of men and women have declined steadily following the pandemic, but have declined perceptibly more so in our region than in the nation.

November 15, 2023

How Do Natural Disasters Affect Small Business Owners in the Fed’s Second District?

Decorative image: Woman walking in flood water to go shopping.

In this post, we follow up on the previous Liberty Street Economics post in this series by studying other impacts of extreme weather on the real sector. Data from the Federal Reserve’s Small Business Credit Survey (SBCS) shed light on how small businesses in the Second District are impacted by natural disasters (such as hurricanes, floods, wildfires, droughts, and winter storms). Among our findings are that increasing shares of small business firms in the region sustain losses from natural disasters, with minority-owned firms suffering losses at a disproportionately higher rate than white-owned firms. For many minority-owned firms, these losses make up a larger portion of their total revenues. In a companion post, we will explore the post-disaster recovery of small firms in the Second District: how long do they remain closed and what are their sources of disaster relief?

March 30, 2023

What Has Driven the Labor Force Participation Gap since February 2020?

Decorative image: Man walking through a busy open plan office

The U.S. labor force participation rate (LFPR) currently stands at 62.5 percent, 0.8 percentage point below its level in February 2020. This “participation gap” translates into 2.1 million workers out of the labor force. In this post, we evaluate three potential drivers of the gap: First, population aging from the baby boomers reaching retirement age puts downward pressure on participation. Second, the share of individuals of retirement age that are actually retired has risen since the onset of the COVID-19 pandemic. Finally, long COVID and disability more generally may induce more people to leave the labor force. We find that nearly all of the participation gap can be explained by population aging, which caused a significant rise in the number of retirements. Higher retirement rates compared to pre-COVID have had only a modest effect, while disability has virtually no effect.

October 17, 2022
September 27, 2022

Revisiting Federal Student Loan Forgiveness: An Update Based on the White House Plan

On August 24, 2022, the White House released a plan to cancel federal student loans for most borrowers. In April,  we wrote about the costs and who most benefits from a few hypothetical loan forgiveness proposals using our Consumer Credit Panel, based on Equifax credit report data.  In this post, we update our framework to consider the White House plan now that parameters are known, with estimates for the total amount of forgiven loans and the distribution of who holds federal student loans before and after the proposed debt jubilee.

November 17, 2021

The Role of Educational Attainment in Household Debt and Delinquency Disparities

This post concludes a three-part series exploring the gender, racial, and educational disparities of debt outcomes of college students. In the previous two posts, we examined how debt holding and delinquency behaviors vary among students of different race and gender, breaking up our analyses by level of degree pursued by the student. We found that Black and Hispanic students were less likely than white students to take on credit card debt, auto loans, and mortgage debt, but experienced higher rates of delinquency in each of these debt areas by the age of 30. In contrast, Black students were more likely to take out student debt and both Black and Hispanic students experienced higher rates of student debt delinquency. We found that Asian students broadly followed reverse patterns from Black and Hispanic students by age 30. They were more likely than white students to acquire mortgages and less likely to hold student debt, but their delinquency patterns were in general similar to those of white students. Women were less likely to hold an auto loan or mortgage and more likely to hold student debt by age 30, and in most cases their delinquency outcomes were indistinguishable from males. In this post, we seek to understand mechanisms behind these racial and gender disparities and examine the role of educational attainment in explaining these patterns.

Unequal Distribution of Delinquencies by Gender, Race, and Education

This post is the second in a three-part series exploring racial, gender, and educational differences in household debt outcomes. In the first post, we examined how the propensity to take out household debt and loan amounts varied among students by race, gender, and education level, finding notable differences across all of these dimensions. Were these disparities in debt behavior by gender, race, and education level associated with differences in financial stress, as captured by delinquencies? This post focuses on this question.

About the Blog

Liberty Street Economics features insight and analysis from New York Fed economists working at the intersection of research and policy. Launched in 2011, the blog takes its name from the Bank’s headquarters at 33 Liberty Street in Manhattan’s Financial District.

The editors are Michael Fleming, Andrew Haughwout, Thomas Klitgaard, and Asani Sarkar, all economists in the Bank’s Research Group.

Liberty Street Economics does not publish new posts during the blackout periods surrounding Federal Open Market Committee meetings.

The views expressed are those of the authors, and do not necessarily reflect the position of the New York Fed or the Federal Reserve System.

Economic Research Tracker

Image of NYFED Economic Research Tracker Icon Liberty Street Economics is available on the iPhone® and iPad® and can be customized by economic research topic or economist.

Economic Inequality

image of inequality icons for the Economic Inequality: A Research Series

This ongoing Liberty Street Economics series analyzes disparities in economic and policy outcomes by race, gender, age, region, income, and other factors.

Most Read this Year

Comment Guidelines

 

We encourage your comments and queries on our posts and will publish them (below the post) subject to the following guidelines:

Please be brief: Comments are limited to 1,500 characters.

Please be aware: Comments submitted shortly before or during the FOMC blackout may not be published until after the blackout.

Please be relevant: Comments are moderated and will not appear until they have been reviewed to ensure that they are substantive and clearly related to the topic of the post.

Please be respectful: We reserve the right not to post any comment, and will not post comments that are abusive, harassing, obscene, or commercial in nature. No notice will be given regarding whether a submission will or will
not be posted.‎

Comments with links: Please do not include any links in your comment, even if you feel the links will contribute to the discussion. Comments with links will not be posted.

Send Us Feedback

Disclosure Policy

The LSE editors ask authors submitting a post to the blog to confirm that they have no conflicts of interest as defined by the American Economic Association in its Disclosure Policy. If an author has sources of financial support or other interests that could be perceived as influencing the research presented in the post, we disclose that fact in a statement prepared by the author and appended to the author information at the end of the post. If the author has no such interests to disclose, no statement is provided. Note, however, that we do indicate in all cases if a data vendor or other party has a right to review a post.

Archives