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.
College is much more expensive than it used to be. Tuition for a bachelor’s degree has more than tripled from an (inflation-adjusted) average of about $5,000 per year in the 1970s to around $18,000 today. For many parents and prospective students, this high and rising tuition has raised concerns about whether getting a college degree is still worth it—a question we addressed in a 2014 study. In this post, we update that study, estimating the cost of college in terms of both out-of-pocket expenses, like tuition, and opportunity costs, the wages one gives up to attend school. We find that the cost of college has increased sharply over the past several years, though tuition increases are not the primary driver. Rather, opportunity costs have increased substantially as the wages of those without a college degree have climbed due to a strong labor market. In a follow-up post, we will consider whether college is still “worth it” by weighing the benefits relative to the costs to estimate the return to a college degree.
As we outlined in our previous post, the United States lost close to six million manufacturing jobs between 2000 and 2010 but since then has gained back almost one million. In this post, we take a closer look at the geographic dimension of this modest rebound in manufacturing jobs. While job losses during the 2000s were fairly widespread across the country, manufacturing employment gains since then have been concentrated in particular parts of the country. Indeed, these gains were especially large in “auto alley”—a narrow motor vehicle production corridor stretching from Michigan south to Alabama—while much of the Northeast continued to shed manufacturing jobs. Closer to home, many of the metropolitan areas in the New York-Northern New Jersey region have been left out of this rebound and are continuing to shed manufacturing jobs, though Albany has bucked this trend with one of the strongest performances in the country.
Jaison R. Abel, Tony Davis, Richard Deitz, and Edison Reyes
Community colleges frequently work with local employers to help shape the training of students and incumbent workers. This type of engagement has become an increasingly important strategy for community colleges to help students acquire the right skills for available jobs, and also helps local employers find and retain workers with the training they need. The Federal Reserve Bank of New York conducted a survey of community colleges in New York State with the goal of documenting the amount and types of these kinds of activities taking place. Our report, Employer Engagement by Community Colleges in New York State, summarizes the findings of our survey.
The rate of employer-to-employer transitions and the average wage of full-time offers rose compared with a year ago, according to the Federal Reserve Bank of New York’s July 2018 SCE Labor Market Survey. Workers’ satisfaction with their promotion opportunities improved since July 2017, while their satisfaction with wage compensation retreated slightly. Regarding expectations, the average expected wage offer (conditional on receiving one) and the reservation wage—the lowest wage at which respondents would be willing to accept a new job—both increased. The expected likelihood of moving into unemployment over the next four months showed a small uptick, which was most pronounced for female respondents.
Puerto Rico recently observed the one-year anniversary of Hurricane Maria—the most destructive storm to hit the Commonwealth since the San Felipe Segundo hurricane in 1928. Maria, combined with Hurricane Irma, which had glanced the island about two weeks prior, is estimated to have caused nearly 3,000 deaths and tens of billions of dollars of physical damage. Millions went without power for weeks, in most cases months. Basic services—water, sewage, telecommunications, medical care, schools—suffered massive disruptions. While it is difficult to assign a cost to all the suffering endured by Puerto Rico’s population, we can now at least get a better read on the economic effect of the storms. In this blog post, we look at a few key economic indicators to gauge the negative effects of the storms and the extent of the subsequent rebound—not only for the Commonwealth as a whole, but for its various geographic areas and industry sectors. We also examine data from the New York Fed Consumer Credit Panel to assess how well households held up financially and what effects the home mortgage foreclosure and payment moratoria had.
Amid dialogue about the soaring student loan burden, questions arise about how educational characteristics (school type, selectivity, and major) affect disparities in post-college labor market outcomes. In this post, we specifically explore the impact of such school and major choices on employment, earnings, and upward economic mobility. Insight into determinants of economic disparity is key for understanding long-term consumption and inequality patterns. In addition, this gives us a window into factors that could be used to ameliorate income inequality and promote economic mobility.
Gizem Kosar, Wilbert van der Klaauw, Olivier Armantier, and John Conlon
The Tax Cuts and Jobs Act of 2017 changed the tax brackets, tax rates, credits and deductions for individuals and similarly altered corporate tax rates, deductions and exclusions. In this post, we examine whether the reform has shifted individuals’ expectations about their financial situation and the macroeconomic outlook. We also ask whether households have already started to adjust their behavior in line with their expectations. In order to answer these questions, we use novel data from a special module of the New York Fed’s Survey of Consumer Expectations (SCE) fielded in February 2018 to a nationally representative sample of heads of households.
R. Jason Faberman, Thomas Haasl, Andreas I. Mueller, Ayşegül Şahin, and Giorgio Topa
In a previous post, we examined the job search behavior of workers, both on the job and while unemployed. We found that job seeking is pervasive among employed workers, and that searching while employed is more effective than searching while unemployed in producing employer contacts and job offers. But how do the offers received through “on the job” searches compare to those received while unemployed? What do their wages look like, how do they compare in terms of nonwage benefits, and how much bargaining between employers and job applicants is involved? In this post, we shed some light on how job offers may vary depending on the employment status of the job seeker.
Rajashri Chakrabarti, Nicole Gorton, Michelle Jiang, and Wilbert van de Klaauw
This post is the second in a two-part series on student loan default behavior. In the first post, we studied how educational characteristics (school type and selectivity, graduation, and major) and family background relate to the incidence of student loan default. In this post, we investigate whether default behavior has varied across cohorts of borrowers as the labor market evolved over time. Specifically, does the ability of student loan holders to repay their loans vary with the state of the labor market? Does the type of education these students received make any difference to this relationship?
Rajashri Chakrabarti, Nicole Gorton, Michelle Jiang, and Wilbert van der Klaauw
This post seeks to understand how educational characteristics (school type and selectivity, graduation status, major) and family background relate to the incidence of student loan default. Student indebtedness has grown substantially, increasing by 170 percent between 2006 and 2016. In addition, the fraction of students who default on those loans has grown considerably. Of students who left college in 2010 and 2011, 28 percent defaulted on their student loans within five years, compared with 19 percent of those who left school in 2005 and 2006. Since defaulting on student loans can have serious consequences for credit scores and, by extension, the ability to purchase a home and take out other loans, it’s critical to understand how college and family characteristics correspond to default rates.
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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