Comparing Apples to Apples: “Synthetic Real‑Time” Estimates of R‑Star
Estimates of the natural rate of interest, commonly called “r-star,” garner a great deal of attention among economists, central bankers, and financial market participants. The natural interest rate is the real (inflation-adjusted) interest rate expected to prevail when supply and demand in the economy are in balance and inflation is stable. The natural rate cannot be measured directly but must be inferred from other data. When assessing estimates of r-star, it is important to distinguish between real-time estimates and retrospective estimates. Real-time estimates answer the question: “What is the value of r-star based on the information available at the time?” Meanwhile, retrospective estimates answer the question: “What was r-star at some point in the past, based on the information available today?” Although the latter question may be of historical interest, the former question is typically more relevant in practice, whether in financial markets or central banks. Thus, given their different nature, comparing real-time and retrospective estimates is like comparing apples to oranges. In this Liberty Street Economics post, we address this issue by creating new “synthetic real-time” estimates of r-star in the U.S. for the Laubach-Williams (2003) and Holston-Laubach-Williams (2017) models, using vintage datasets. These estimates enable apples-to-apples comparisons of the behavior of real-time r-star estimates over the past quarter century.
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.
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