The Effect of Inequality on the Transmission of Monetary and Fiscal Policy
Monetary policy can have a meaningful impact on inequality, as recent theoretical and empirical studies suggest. In light of this, how should policy be conducted? And how does inequality affect the transmission of monetary policy? These are the topics covered in the second part of the recent symposium on “Heterogeneity in Macroeconomics: Implications for Policy,” hosted by the new Applied Macroeconomics and Econometrics Center (AMEC) of the New York Fed on November 12.
The Effect of Monetary and Fiscal Policy on Inequality
How does accounting for households’ heterogeneity—and in particular inequality in income and wealth—change our approach to macroeconomics? What are the effects of monetary and fiscal policy on inequality, and what did we learn in this regard from the COVID-19 pandemic? What are the implications of inequality for the transmission of monetary policy, and its ability to stabilize the economy? These are some of the questions that were debated at a recent symposium on “Heterogeneity in Macroeconomics: Implications for Policy” organized by the new Applied Macroeconomics and Econometrics Center (AMEC) of the New York Fed on November 12.
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.
Uneven Distribution of Household Debt by Gender, Race, and Education
Household debt has risen markedly since 2013 and amounts to more than $15 trillion dollars. While the aggregate volume of household debt has been well-documented, literature on the gender, racial and education distribution of debt is lacking, largely because of an absence of adequate data that combine debt, demographic, and education information. In a three-part series beginning with this post, we seek to bridge this gap. In this first post, we focus on differences in debt holding behavior across race and gender. Specifically, we explore gender and racial disparities in different types of household debt and delinquencies—for auto, mortgage, credit card, and student loans—while distinguishing between students pursuing associate’s (AA) and bachelor’s (BA) degrees. In the second post in this series, we investigate gender and racial disparities in delinquencies across these various kinds of consumer debt. We close with a third post where we try to understand some of the mechanisms behind differences in debt and delinquencies across gender and race.
Who’s Ready to Spend? Constrained Consumption across the Income Distribution
Spending on goods and services that were constrained during the pandemic is expected to grow at a fast pace as the economy reopens. In this post, we look at detailed spending data to track which consumption categories were the most constrained by the pandemic due to social distancing. We find that, in 2019, high-income households typically spent relatively more on these pandemic-constrained goods and services. Our findings suggest that these consumers may have strongly reduced consumption during the pandemic and will likely play a crucial role in unleashing pent-up demand when pandemic restrictions ease.
Credit Card Balance Declines Are Largest Among Older, Wealthier Borrowers
Total household debt rose by $85 billion in the first quarter of 2021, according to the latest Quarterly Report on Household Debt and Credit from the New York Fed’s Center for Microeconomic Data. Since the start of the pandemic, household debt balances have increased in every quarter but one—the second quarter of 2020, when lockdowns were in full effect. The Quarterly Report and this analysis are based on the New York Fed’s Consumer Credit Panel, which is based on Equifax credit data.
Black and White Differences in the Labor Market Recovery from COVID‑19
The ongoing COVID-19 pandemic and the various measures put in place to contain it caused a rapid deterioration in labor market conditions for many workers and plunged the nation into recession. The unemployment rate increased dramatically during the COVID recession, rising from 3.5 percent in February to 14.8 percent in April, accompanied by an almost three percentage point decline in labor force participation. While the subsequent labor market recovery in the aggregate has exceeded even some of the most optimistic scenarios put forth soon after this dramatic rise, this recovery has been markedly weaker for the Black population. In this post, we document several striking differences in labor market outcomes by race and use Current Population Survey (CPS) data to better understand them.