Abel and Deitz look at the outsized impact of the COVID-19 pandemic on some workers, particularly those who are in lower-wage jobs, without a college degree, female, minority, and younger.
February 9, 2021
Some Workers Have Been Hit Much Harder than Others by the Pandemic
Posted at 11:00 am in Demographics, Employment, Equitable Growth, Inequality, Labor Market, Pandemic, Unemployment | Permalink | Comments (1)
February 5, 2021
Up on Main Street
The Main Street Lending Program was the last of the facilities launched by the Fed and Treasury to support the flow of credit during the COVID-19 pandemic of 2020-21. The others primarily targeted Wall Street borrowers; Main Street was for smaller firms that rely more on banks for credit. It was a complicated program that worked by purchasing loans and sharing risk with lenders. Despite its delayed launch, Main Street purchased more debt than any other facility and was accelerating when it closed in January 2021. This post first locates Main Street in the constellation of COVID-19 credit programs, then looks in detail at its design and usage with an eye toward any future programs.
Posted at 7:00 am in Bank Capital, Banks, Central Bank, COVID-19 Facilities, Credit, Federal Reserve, Financial Institutions, Financial Intermediation, Financial Markets, Fiscal Policy, Monetary Policy, Pandemic | Permalink
February 3, 2021
Equity Volatility Term Premia
Investors can buy volatility hedges on the stock market using variance swaps or VIX futures. One motivation for hedging volatility is its negative relationship with the stock market. When volatility increases, stock returns tend to decline contemporaneously, a result known as the leverage effect. In this post, we measure the cost of volatility hedging by decomposing the prices of variance swaps and VIX futures into volatility forecasts and estimates of expected returns (“equity volatility term premia”) from January 1996 to June 2020.
Posted at 7:00 am in Financial Markets | Permalink
February 1, 2021
The Law of One Price in Equity Volatility Markets
Can option traders take a square root? Surprisingly, maybe not. This post shows that VIX futures prices exhibit significant deviations from their option-implied upper bounds—the square root of variance swap forward rates—thus violating the law of one price, a fundamental concept in economics and finance. The deviations widen during periods of market stress and predict the returns of VIX futures. Just as the stock market struggles with multiplication, the equity volatility market appears unable to take a square root at times.
Posted at 7:00 am in Financial Markets | Permalink
January 29, 2021
Job Seekers’ Beliefs and the Causes of Long‑Term Unemployment
In addition to its terrible human toll, the COVID-19 pandemic has also caused massive disruption in labor markets. In the United States alone, more than 25 million people lost their jobs during the first wave of the pandemic. While many have returned to work since then, a large number have remained unemployed for a prolonged period of time. The number of long-term unemployed (defined as those jobless for twenty-seven weeks or longer) has surged from 1.1 million to almost 4 million. An important concern is that the long-term unemployed face worse employment prospects, but prior work has provided no consensus on what drives this decline in employment prospects. This post discusses new findings using data on elicited beliefs of unemployed job seekers to uncover the forces driving long-term unemployment.
January 15, 2021
Discretionary and Nondiscretionary Services Expenditures during the COVID‑19 Recession
The coronavirus pandemic and the various measures to address it have led to unprecedented convulsions to the U.S. and global economies. In this post, I examine those extraordinary impacts through the lens of personal consumption expenditures on discretionary and nondiscretionary services, a framework I developed in a 2011 post (and subsequently employed in 2012, 2014, and 2017). In particular, I show that there were exceptional declines in both services categories during the spring; their recoveries, however, have displayed notably different patterns in recent months, with nondiscretionary services expenditures nearly back to their prior level and discretionary services expenditures seemingly stalled well below their pre-pandemic peak.
January 12, 2021
Understanding the Racial and Income Gap in COVID‑19: Social Distancing, Pollution, and Demographics
Chakrabarti, Pinkovskiy, and coauthors investigate the extent to which age, pollution, and social distancing factor in to the income and racial gaps in COVID-19 incidence.
Understanding the Racial and Income Gap in COVID‑19: Public Transportation and Home Crowding
This is the second post in a series that aims to understand the gap in COVID-19 intensity by race and income. In our post yesterday, we looked at how comorbidities, uninsurance rates, and health resources may help to explain the race and income gap observed in COVID-19 intensity. We found that a quarter of the income gap and more than a third of the racial gap in case rates are explained by health status and system factors. In this post, we look at two factors related to indoor density—namely the use of public transportation and increased home crowding. Here, we will aim to understand whether these two factors affect overall COVID-19 intensity, whether the income and racial gaps of COVID can be further explained when we additionally include these factors, and whether and to what extent these factors independently account for income and racial gaps in COVID-19 intensity (without controlling for the factors considered in the other posts in this series).
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).
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