27 posts on "Rajashri Chakrabarti"
May 1, 2026
Explaining the K‑Shaped Economy: What’s Behind the Divide?
In our companion post, we used a new module of our Economic Heterogeneity Indicators (EHIs) to shed light on how recent retail spending growth has been driven by high-income households. This fact is consistent with the popular press’s idea of a “K-shaped economy” in which higher-income households experience faster growth in spending than lower-income households. In this post, we dive deeper into the reasons behind this divergence by analyzing for which goods this trend holds true and ask whether it can be explained by changes in wages, inflation, or wealth. We find that, since 2023, wealth has increased the most for high-income households, while inflation has risen the most for low-income households, with both factors helping explain the fact that real retail spending rose the most for high-income households. In contrast, earnings display a more mixed pattern, though earnings of the highest earners have grown more rapidly than earnings of the lowest earners.
Tracking the K‑Shaped Economy: Who’s Driving Spending?
Aggregate real consumer spending has risen solidly since 2023. However, it is less clear how widely shared this improvement has been across all segments of society. This is important because systematic heterogeneity may mask the dependence of aggregate growth on a relatively small group of households and thus conceal macroeconomic risks. In this post, we use consumer spending data recently added to the Economic Heterogeneity Indicators (EHIs) and find that retail spending growth has been driven by high-income households—those earning more than $125,000 per year. In the popular press, the phenomenon of higher-income households growing at a faster rate than lower-income households has been referred to as the K-shaped economy. We find that consumption has exhibited a K-shaped economy since 2023, although not in the pre-COVID period or during the post-COVID recovery.
Posted at 10:00 am in Household Finance, Inequality, K-Shaped Economy, Microeconomics | Permalink | Comments (3)
February 3, 2026
A New Dataset for Consumer Spending in the New York Fed EHIs
We are enhancing our set of Economic Heterogeneity Indicators (EHIs) by adding a set of metrics on consumer spending with data presented by income, education, race and ethnicity, age, and urban status. The data will help track the evolution of aggregate behavior by analyzing the spending of specific groups in a more timely manner than is possible using public surveys.
May 15, 2025
The College Economy: Educational Differences in Labor Market Outcomes
It is intuitive that workers with higher levels of education tend to earn more than workers with less education. However, it is also true that workers with more education are much more likely to be employed, and this employment advantage of education has, if anything, grown in recent years. In this post, we document profound differences in labor market outcomes by educational attainment. Drawing on the Economic Heterogeneity Indicators, we find that the gap in employment rates between workers who have completed college and workers who have not is 12 percentage points—which is larger than the employment gaps between workers of different races/ethnicities or between men and women—and is wider than the pre-pandemic gap. Moreover, most of this gap and its recent movements are driven by differences in labor force participation rates rather than by differences in unemployment rates. Fostering higher labor force participation of workers without a college degree thus would be quite helpful in promoting maximum employment.
May 22, 2024
Veterans in the Labor Market: 2024 Update
Veterans constitute a significant segment of the male labor force, and understanding labor market disparities between veterans and non‑veterans is an important component of studying disparities in the economy as a whole. In a previous Liberty Street Economics post, we have shown that even relative to a group of comparable non-veterans, veterans have lower employment and labor force participation rates. One year later, we see that veterans continue to experience lower labor market attachment and the employment gap has widened, though the earnings gap has closed.
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)
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.
Posted at 10:00 am in Demographics, Financial Markets, Inequality, Pandemic | Permalink | Comments (2)
January 18, 2023
Young, Less Educated Faced Higher Inflation in 2021—But Gaps Now Closed
We continue our series on inflation disparities by looking at disparities in inflation rates by educational attainment and age for the period June 2019 to the present. Remarkably, we find that disparities by age and education are considerably larger than those by income and are similar in size to those by race and ethnicity, both explored in our previous post. Specifically, during the inflationary period of 2021-22, younger people and people without a college degree faced the highest inflation, with steadily widening gaps relative to the overall average between early 2021 and June 2022, followed by a rapid narrowing of the gaps and a reversal of some of them by December 2022. This pattern arises primarily from a greater share of the expenditures of younger people and people without a college degree being devoted to transportation—particularly used cars and motor fuel—which led the 2021 inflationary episode but has since converged to general inflation.
Inflation Disparities by Race and Income Narrow
As inflation has risen to forty-year highs, inflation inequality—disparities in the rates of inflation experienced by different demographic and economic groups– has become an increasingly important concern. In this three-part blog series, we revisit our main finding from June—that inflation inequality has increased across racial and ethnic groups—and provide estimates of differential inflation rates across groups based on income, education, age, and geographic location. We also use an updated methodology for computing inflation disparities by focusing on more disaggregated categories of spending, which corroborates our earlier findings and substantiates our conclusion that inflation inequality is a pronounced feature of the current inflationary episode.
October 20, 2022
How Have Racial and Ethnic Earnings Gaps Changed after COVID‑19?
Racial and ethnic earnings disparities have been salient features of the U.S. economy for decades. Between the pandemic-driven recession in 2020 and the rising inflation since 2021, workers’ real and nominal earnings have seen rapid change. To get a sense of how recent economic conditions have affected earnings disparities, we examine real and nominal weekly earnings trends for Asian, Black, Hispanic, and white workers. We find that average real weekly earnings have been declining in the past year, but less so for Black and Hispanic workers than for white and Asian workers. Black and Hispanic workers have also experienced small increases in real earnings since the pre-pandemic period.
July 7, 2022
Climate Change: Implications for Macroeconomics
What are the implications of climate change, and climate change–related policies, for macroeconomics in general and monetary policy in particular? This is the key question debated at a recent symposium on “Climate Change: Implications for Macroeconomics” organized by the Applied Macroeconomics and Econometrics Center (AMEC) of the New York Fed on May 13. This post briefly summarizes the content of the discussion and provides links to recordings of the various sessions and the participants’ slides.
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