Liberty Street Economics
Return to Liberty Street Economics Home Page

23 posts on "inequality"
January 12, 2021

Understanding the Racial and Income Gap in Covid‑19: Health Insurance, Comorbidities, and Medical Facilities

Our previous work documents that low-income and majority-minority areas were considerably more affected by COVID-19, as captured by markedly higher case and death rates. In a four-part series starting with this post, we seek to understand the reasons behind these income and racial disparities. Do disparities in health status translate into disparities in COVID-19 intensity? Does the health system play a role through health insurance and hospital capacity? Can disparities in COVID-19 intensity be explained by high-density, crowded environments? Does social distancing, pollution, or the age composition of the county matter? Does the prevalence of essential service jobs make a difference? This post will focus on the first two questions. The next three posts in this series will focus on the remaining questions. The posts will follow a similar structure. In each post, we will aim to understand whether the factors considered in that post affect overall COVID-19 intensity, whether the racial and income gaps can be further explained when we additionally include the factors in consideration in that post, and whether and to what extent the factors under consideration in that post independently affect racial and income gaps in COVID-19 intensity (without controlling for the factors considered in the other posts in this series).

Posted at 10:00 am in Crisis, Demographics, Inequality, Pandemic | Permalink
March 3, 2020

Introduction to Heterogeneity Series II: Labor Market Outcomes

Rajashri Chakrabarti introduces a new Liberty Street Economics series exploring dimensions of heterogeneity in the labor market experience of U.S. workers.

February 24, 2020

Understanding Heterogeneous Agent New Keynesian Models: Insights from a PRANK

To shed light on the macroeconomic consequences of heterogeneity, Acharya and Dogra develop a stylized HANK model that contains key features present in more complicated HANK models.

October 15, 2019

Does U.S. Health Inequality Reflect Income Inequality—or Something Else?

Health is an integral part of well-being. The United Nations Human Development Index uses life expectancy (together with GDP per capita and literacy) as one of three key indicators of human welfare across the world. In this post, I discuss the state of life expectancy inequality in the United States and examine some of the underlying factors in its evolution over the past several decades.

Posted at 7:01 am in Inequality | Permalink
October 8, 2019

Job Ladders and Careers

Workers in the United States experience vast differences in lifetime earnings. Individuals in the 90th percentile earn around seven times more than those in the 10th percentile, and those in the top percentile earn almost twenty times more. A large share of these differences arise over the course of people’s careers. What accounts for these vastly different outcomes in the labor market? Why do some individuals experience much steeper earnings profiles than others? Previous research has shown that the “job ladder”—in which workers obtain large pay increases when they switch to better jobs or when firms want to poach them—is important for wage growth. In this post, we investigate how job ladders differ across workers.

October 7, 2019

Some Places Are Much More Unequal than Others

Economic inequality in the United States is much more pronounced in some parts of the country than others. In this post, we examine the geography of wage inequality, drawing on our recent Economic Policy Review article. We find that the most unequal places tend to be large urban areas with strong economies where wage growth has been particularly strong for those at the top of the wage distribution.

Introduction to Heterogeneity Series: Understanding Causes and Implications of Various Inequalities

Economic analysis is often geared toward understanding the average effects of a given policy or program. Likewise, economic policies frequently target the average person or firm. While averages are undoubtedly useful reference points for researchers and policymakers, they don’t tell the whole story: it is vital to understand how the effects of economic trends and government policies vary across geographic, demographic, and socioeconomic boundaries. It is also important to assess the underlying causes of the various inequalities we observe around us, be they related to income, health, or any other set of indicators. Starting today, we are running a series of six blog posts (apart from this introductory post), each of which focuses on an interesting case of heterogeneity in the United States today.

July 10, 2019

Did the Value of a College Degree Decline during the Great Recession?

In an earlier post, we studied how educational attainment affects labor market outcomes and earnings inequality. In this post, we investigate whether these labor market effects were preserved across the last business cycle: Did students with certain types of educational attainment weather the recession better?

September 5, 2018

Education’s Role in Earnings, Employment, and Economic Mobility

Amid dialogue about the soaring student loan burden, questions arise about how educational characteristics (school type, selectivity, and major) affect disparities in post-college labor market outcomes. In this post, we specifically explore the impact of such school and major choices on employment, earnings, and upward economic mobility. Insight into determinants of economic disparity is key for understanding long-term consumption and inequality patterns. In addition, this gives us a window into factors that could be used to ameliorate income inequality and promote economic mobility.

May 11, 2016

Household Consumption Mobility over the Life‑Cycle

Commonly used metrics of inequality and mobility attempt to capture how household (or individual) income compares to the rest of the population and how persistent that income is over the life cycle.

Posted at 7:00 am in Household Finance | Permalink | Comments (1)
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