Christopher J. Nekarda

The official labor force statistics often exhibit discontinuities in January, when updated population estimates are incorporated into the Current Population Survey (CPS) for the current year but are not revised backward through history. We construct harmonized population estimates spanning five decades and produce new weights for the CPS microdata that are benchmarked to these estimates. Using these weights, we estimate harmonized labor force statistics that reflect the latest available information about the population and its characteristics. The harmonized labor force series are free from the discontinuities in the historical data and show a notably larger labor force shortfall in the post-pandemic period.

Using data from 14 government sources, we develop comprehensive estimates of U.S. economic activity by sector, legal form of organization, and firm size to characterize how four government direct lending programs—the Paycheck Protection Program, the Main Street Lending Program, the Corporate Credit Facilities, and the Municipal Lending Facilities—related to these classes of economic activity in the United States. The classes targeted by these programs are vast—accounting for 97 percent of total U.S. employment—though entity-specific financial criteria limited coverage within specific programs. We relate our estimates to those from timely alternative data sources, which do not typically cover the majority of the economic universe.

A countercyclical markup of price over marginal cost is a key transmission mechanism for demand shocks in New Keynesian (NK) models. This paper reexamines the foundation of those models by studying the cyclicality of the price‐cost markup in the private economy. We find that how the markup is measured matters for its unconditional cyclicality. Measures of the markup based on the inverse of the labor share are moderately procyclical, but are moderately countercyclical for some generalizations of the production function. NK models predict that the cyclicality of the markup should vary depending on the nature of the shock. Consistent with the NK model, we find that the markup is procyclical conditional on total factor productivity shocks and countercyclical conditional on investment‐specific technology shocks. In contrast, we find that the markup increases in response to a positive demand shock. Thus, the transmission mechanism for the effects of demand shocks in sticky‐price NK models is not consistent with the data.

Using data from 14 government sources, we develop comprehensive estimates of U.S. economic activity by sector, legal form of organization, and firm size to characterize how four government direct lending programs—the Paycheck Protection Program, the Main Street Lending Program, the Corporate Credit Facilities, and the Municipal Lending Facilities—relate to these classes of economic activity in the United States. The classes targeted by these programs are vast—accounting for 97 percent of total U.S. employment—though entityspecific financial criteria limit coverage within specific programs. These programs notionally cover a far larger universe than what was targeted by analogous Great Recession-era lending policies. We relate our estimates to those from timely alternative data sources, which do not typically cover the majority of the economic universe.

This paper discusses various concepts of unemployment rate benchmarks that are frequently used by policymakers for assessing the current state of the economy as it relates to the pursuit of both price stability and maximum employment. In particular, we propose two broad categories of unemployment rate benchmarks: (1) a longer-run unemployment rate expected to prevail after adjusting to business cycle shocks and (2) a stable-price unemployment rate tied to inflationary pressures. We describes how various existing measures used as benchmark rates fit within this taxonomy with the goal of facilitating the use of a common set of terms for assessments of the current state of the economy and deliberations among policymakers.

Starting Monday, October 6th, we will provide updated estimates of the labor market conditions index (LMCI) every month.

The U.S. labor market is large and multifaceted. Often-cited indicators, such as the unemployment rate or payroll employment, measure a particular dimension of labor market activity, and it is not uncommon for different indicators to send conflicting signals about labor market conditions.

Despite substantial improvement in the unemployment rate and several other labor market indicators, the number of Americans involuntarily working part time (also called "part-time for economic reasons") remains unusually high nearly five years into the recovery. In this note, we focus on two questions: 1. What can Current Population Survey (CPS) data on the stocks and flows of involuntary part-time employment say about the underlying reasons for its persistently high rate? And 2. Based on this analysis, what can we expect for the evolution of involuntary part-time work going forward?

This paper describes a dynamic factor model of 19 U.S. labor market indicators, covering the broad categories of unemployment and underemployment, employment, workweeks, wages, vacancies, hiring, layoffs, quits, and surveys of consumers' and businesses' perceptions. The resulting labor market conditions index (LMCI) is a useful tool for gauging the change in labor market conditions. In addition, the model provides a way to organize discussions of the signal value of different labor market indicators in situations when they might be sending diverse signals. The model takes the greatest signal from private payroll employment and the unemployment rate. Other influential indicators include the insured unemployment rate, consumers' perceptions of job availability, and help-wanted advertising. Through the lens of the LMCI, labor market conditions have improved at a moderate pace over the past several years, albeit with some notable variation along the way. In addition, from t he perspective of the model, the unemployment rate declined a bit faster over the past two years than was consistent with the other indicators.