An Overlooked Factor in Banks’ Lending to Minorities
In the second quarter of 2022, the homeownership rate for white households was 75 percent, compared to 45 percent for Black households and 48 percent for Hispanic households. One reason for these differences, virtually unchanged in the last few decades, is uneven access to credit. Studies have documented that minorities are more likely to be denied credit, pay higher rates, be charged higher fees, and face longer turnaround times compared to similar non-minority borrowers. In this post, which is based on a related Staff Report, we show that banks vary substantially in their lending to minorities, and we document an overlooked factor in this difference—the inequality aversion of banks’ stakeholders.
Measuring Price Inflation and Growth in Economic Well‑Being with Income‑Dependent Preferences
How can we accurately measure changes in living standards over time in the presence of price inflation? In this post, I discuss a novel and simple methodology that uses the cross-sectional relationship between income and household-level inflation to construct accurate measures of changes in living standards that account for the dependence of consumption preferences on income. Applying this method to data from the U.S. suggests potentially substantial mismeasurements in our available proxies of average growth in consumer welfare in the U.S.
A Bayesian VAR Model Perspective on the Lagged Effect of Monetary Policy
Over the last few years, the U.S. economy has experienced unusually high inflation and an unprecedented pace of monetary policy tightening. While inflation has fallen recently, it remains above target, and the economy continues to expand at a robust pace. Does the resilience of the U.S. economy imply that monetary policy has been ineffectual? Or does it reflect that policy acts with “long and variable lags” and so we haven’t yet observed the full effect of the monetary tightening that has already taken place? Using a Bayesian vector autoregressive (BVAR) model, we show that economic activity has, indeed, been substantially stronger than would have been anticipated considering the rapid policy tightening. Still, the model expects a significant slowdown in 2024-25, even though short-term interest rates are forecasted to fall.
February Regional Business Surveys Find Widespread Supply Disruptions
Business activity increased in the region’s manufacturing sector in recent weeks but continued to decline in the region’s service sector, continuing a divergent trend seen over the past several months, according to the Federal Reserve Bank of New York’s February regional business surveys. Looking ahead, however, businesses expressed widespread optimism about the near-term outlook, with service firms increasingly confident that the business climate will be better in six months. The surveys also found that supply disruptions were widespread, with manufacturing firms reporting longer delivery times and rising input costs, a likely consequence of such disruptions. Many firms also noted that minimum wage hikes implemented in January in both New York and New Jersey had affected their employment or compensation decisions.
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.
The Impact of Natural Disasters on the Corporate Loan Market
Natural disasters are usually associated with an increase in the demand for credit by both households and companies in the affected regions. However, if capacity constraints preclude banks from meeting the local increase in demand, the banks may reduce lending elsewhere, thus propagating the shock to unaffected areas. In this post, we analyze the corporate loan market and find that banks, particularly those with lower capital, reduce credit provisioning to distant regions unaffected by natural disasters. We also find that shadow banks only partially offset the reduction in bank credit, so borrowers in regions unaffected by natural disasters experience a decline in credit supply.
Tracking the Spread of COVID‑19 in the Region
The New York Fed today unveiled a set of charts that track COVID-19 cases in the Federal Reserve’s Second District, which includes New York, Northern New Jersey, Fairfield County Connecticut, Puerto Rico, and the U.S. Virgin Islands. These charts, available in the Indicators section of our Regional Economy webpage, are updated daily with the latest data on confirmed COVID-19 cases from The New York Times, which compiles information from state and local health agencies. Case counts are measured as the seven-day average of new reported daily cases and are presented on a per capita basis to allow comparisons to the nation and between communities in the region. Recent data indicate that after spiking to extraordinary levels in April, new cases have remained relatively low and stable in and around New York City, and in upstate New York. By contrast, cases have been trending higher in Puerto Rico and the U.S. Virgin Islands since mid-July.
Leverage Ratio Arbitrage All Over Again
Leverage limits as a form of capital regulation have a well-known, potential bug: If banks can’t lever returns as desired, they can boost returns on equity by shifting toward riskier, higher yielding assets. That reach for yield is the leverage rule “arbitrage.” But would banks do that? In a previous post, we discussed evidence from our working paper that banks did do just that in response to the new leverage rule that took effect in 2018. This post discusses new findings in our revised paper on when and how banks arbitraged.
Finally, Some Signs of Improvement in the Regional Economy
The Federal Reserve Bank of New York’s June business surveys show some signs of improvement in the regional economy. Following two months of unprecedented decline due to the coronavirus pandemic, indicators of business activity point to a slower pace of contraction in the service sector and signs of a rebound in the manufacturing sector. Even more encouraging, as the regional economy has begun to reopen, many businesses have started to recall workers who were laid off or put on furlough since the start of the pandemic. Some have even hired new workers. Moreover, businesses expect to recall even more workers over the next month. Looking ahead, firms have become increasingly optimistic that conditions will improve in the coming months.
Translating Weekly Jobless Claims into Monthly Net Job Losses
News headlines highlighting the loss of 26 million jobs (so far) underscore the massive shock that has hit the U.S. economy and the dislocation, hardship, and stress it has caused for so many American workers. But how accurately does this number actually capture the number of net job losses? In this post, we look at some of the statistical anomalies and quirks in the weekly claims series and offer a guide to interpreting these numbers. What we find is that the relationship between jobless claims and payroll employment for the month can vary substantially, depending on the nature, timing, and persistence of the disaster.