The Federal Reserve Bank of New York works to promote sound and well-functioning financial systems and markets through its provision of industry and payment services, advancement of infrastructure reform in key markets and training and educational support to international institutions.
The New York Fed engages with individuals, households and businesses in the Second District and maintains an active dialogue in the region. The Bank gathers and shares regional economic intelligence to inform our community and policy makers, and promotes sound financial and economic decisions through community development and education programs.
How does access to consumer credit affect the job finding behavior of displaced workers? Are these workers looking for jobs at larger and more productive firms? What is the impact of consumer credit on the amount of time it takes to find a job? In recent work with Ethan Cohen-Cole we explore these questions by building a new data set of individual credit reports (from TransUnion) merged with administrative earnings data. We describe our approach and our results in this post.
René Chalom, Fatih Karahan, Brendan Moore, and Giorgio Topa
The growth rate of hourly earnings is a widely used indicator to assess the economic progress of U.S. workers, as well as the health of the labor market. It is also a measure of wage pressures that could potentially spill over into inflationary pressures in a tightening labor market. Hourly earnings growth, on average, has gradually risen over the course of the current expansion, under way since the end of the Great Recession. But how have different groups of workers fared in this regard? Have hourly earnings risen uniformly at all points of the wage distribution, or have some segments of the workforce been left behind? In this post, we take a close look at earnings growth over the past two decades at different points of the wage distribution and for various demographic groups. Our goal is to examine whether there are any significant patterns in the evolution of the distribution of earnings, as opposed to just looking at the behavior of aggregate earnings growth. We focus primarily on hourly earnings growth, although our findings apply to total earnings as well.
Technological change and globalization have caused a massive transformation in the U.S. economy. While creating new opportunities for many workers, these forces have eliminated millions of good-paying jobs, particularly routine jobs in the manufacturing sector. Indeed, a great deal of attention
has focused on the consequences
of the loss of blue-collar production jobs
for prime‑age men. What is often overlooked, however, is that
women have also been hit hard
by the loss of routine jobs, particularly administrative support jobs—a type of routine work that has historically been largely performed by women. In this post, we show that the combined loss of production and administrative support jobs since 2000 is actually more than three times as large for prime-age women than prime-age men.
While average outcomes serve as important yardsticks for how the economy is doing, understanding heterogeneity—how outcomes vary across a population—is key to understanding both the whole picture and the implications of any given policy. Following our six-part look at heterogeneity in October 2019, we now turn our focus to heterogeneity in the labor market—the subject of four posts set for release tomorrow morning. Average labor market statistics mask a lot of underlying variability—disparities that factor into labor market dynamics. While we have written about labor market heterogeneity before, this series is an attempt to pull together in a cohesive way new insights on the labor market and highlight details that are not immediately obvious when we study aggregate labor market statistics.
In our previous post, we presented evidence suggesting that labor market indicators provide the most reliable information for dating the U.S. business cycle. In this post, we further develop the case. In fact, the unemployment rate has provided an almost perfect record of distinguishing the beginning of recessions in the post-war U.S. economy. We also show that using more granular labor market data, such as by region or industry, also provides valuable information about the state of the business cycle.
Workers in the United States experience vast differences in lifetime earnings. Individuals in the 90th percentile earn around seven times more than those in the 10th percentile, and those in the top percentile earn almost twenty times more. A large share of these differences arise over the course of people’s careers. What accounts for these vastly different outcomes in the labor market? Why do some individuals experience much steeper earnings profiles than others? Previous research has shown that the “job ladder”—in which workers obtain large pay increases when they switch to better jobs or when firms want to poach them—is important for wage growth. In this post, we investigate how job ladders differ across workers.
The Federal Reserve Bank of New York’s July 2019 SCE Labor Market Survey shows a year-over-year rise in employer-to-employer transitions as well as an increase in transitions into unemployment. Satisfaction with promotion opportunities and wage compensation was largely unchanged, while satisfaction with non-wage benefits retreated. Regarding expectations, the average expected wage offer (conditional on receiving one) and the average reservation wage—the lowest wage at which respondents would be willing to accept a new job—both increased. Expectations regarding job transitions were largely stable.
Germany emerged as a leading destination for immigration around 2011, as the country’s labor market improved while unemployment climbed elsewhere in the European Union. A second wave began in 2015, with refugees from the Middle East adding to already heavy inflows from Eastern Europe. The demographic consequences of the surge in immigration include a renewed rise in Germany’s population and the stabilization of the country’s median age. The macroeconomic consequences are hard to measure but look promising, since per capita income growth has held up and unemployment has declined. Data on labor-market outcomes specific to immigrants are similarly favorable through 2015, but reveal challenges in how well the economy is adjusting to the second immigration wave.
Olivier Armantier, Michael Neubauer, Daphne Skandalis, and Wilbert van der Klaauw
Second of two posts
In the months leading up to the 2018 midterm elections, were economic expectations in congressional districts about to elect a Republican similar to those in districts about to elect a Democrat? How did economic expectations evolve in districts where the party holding the House seat would switch? After examining the persistence of polarization in expectations using voting patterns from the presidential election in our previous post, we explore here how divergence in expectations may have foreshadowed the results of the midterm elections. Using the Survey of Consumer Expectations, we show that economic expectations deteriorated between 2016 and 2018 in districts that switched from Republican to Democratic control compared to districts that remained Republican.
Jaison R. Abel, Jason Bram, Richard Deitz, and Jonathan Hastings
The New York Fed today unveiled a newly designed website on the regional economy that offers convenient access to a wide array of regional data, analysis, and research that the Bank makes available to the public. Focusing specifically on the Federal Reserve’s Second District, which includes New York State, Northern New Jersey, Southwestern Connecticut, Puerto Rico, and the U.S. Virgin Islands, the new site also features information about the Bank's community engagement and outreach efforts across the region. With today’s release, we are providing new regional economic précis for local areas in our District—that is, short reports that give an overview of economic trends in each location; these reports will be updated regularly as new data are released.
Liberty Street Economics features insight and analysis from New York Fed economists working at the intersection of research and policy. Launched in 2011, the blog takes its name from the Bank’s headquarters at 33 Liberty Street in Manhattan’s Financial District.
The editors are Michael Fleming, Andrew Haughwout, Thomas Klitgaard, and Asani Sarkar, all economists in the Bank’s Research Group.
The views expressed are those of the authors, and do not necessarily reflect the position of the New York Fed or the Federal Reserve System.
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