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In Monday’s post, we described the estimation of real wage growth rates for different cohorts of U.S. workers. We showed that the life-cycle pattern of real wage growth is characterized by high growth early in a worker’s career, little to no growth in mid-career, and negative growth as workers near retirement. We also documented that a growing fraction of the U.S. adult population is transitioning into the flat to negative real wage growth phases of their careers. Here, we turn our attention to estimating the effect of this demographic shift on the economy-wide average real wage growth rate. Our analysis shows that this economy-wide average real wage growth rate has declined by a third since the mid-1980s.
Rajashri Chakrabarti, Michael Lovenheim, and Kevin Morris
Editor’s note: The labels for “Elite private” and “Non-elite private, not-for-profit” institutions in the charts have been corrected; they were initially transposed. We regret the error. (September 12, 12:45 p.m.)
This is the final post in a four-part series examining the evolution of enrollment, student loans, graduation and default in the higher education market over the course of the past fifteen years. In the first post, we found a marked increase in enrollment of 35 percent between 2000 and 2015, led mostly by the for-profit sector—which increased enrollment by 177 percent. The second post showed that these new enrollees were quite different from the traditional enrollees. Yesterday’s post demonstrated an unprecedented increase in loan origination amounts during this period—nearly tripling between 2000 and 2015. This surge was driven most prominently by a massive increase in the number of borrowers in the public community college sector and the private for-profit college sector. Given the large increase in the borrower pool and loan originations, it is paramount to understand the consequences of these changes for the student loan default rate. This post aims to do just that. We focus on three-year cohort default rates reported by the United States Department of Education. The three-year cohort default rate is defined as the percentage of a school's borrowers who enter repayment during a particular federal fiscal year—running from October 1 to September 30—and default prior to the end of the second following fiscal year. Most federal loans enter default when payments are more than 270 days past due.
Olivier Armantier, Giorgio Topa, Wilbert van der Klaauw, and Basit Zafar
The New York Fed started releasing results from its Survey of Consumer Expectations (SCE) three years ago, in June 2013. The SCE is a monthly, nationally representative, internet-based survey of a rotating panel of about 1,300 household heads. Its goal, as described in a series of Liberty Street Economics posts, is to collect timely and high-quality information on consumer expectations about a broad range of topics, covering both macroeconomic variables and the households' own situation. In this post, we look at what drives changes in consumer inflation expectations. Do people respond to changes in recent realized inflation, and to expected and realized changes in prices of salient individual commodities—like gasoline? Understanding what drives inflation expectations is important for the conduct of monetary policy, since it improves a central bank’s ability to assess its own credibility and to evaluate the impact of its policy decisions and communication strategy.
Tobias Adrian, Richard Crump, Peter Diamond, and Rui Yu
In a previous post, we showed how market rates on U.S. Treasuries violate the expectations hypothesis because of time-varying risk premia. In this post, we provide evidence that term structure models have outperformed direct market-based measures in forecasting interest rates. This suggests that term structure models can play a role in long-run planning for public policy objectives such as assessing the viability of Social Security.
The Federal Reserve Bank of New York’s 2016 SCE Housing Survey indicates that home price growth expectations have declined somewhat relative to last year, but the majority of households still view housing as a good financial investment. Mortgage rate expectations have also declined since last year’s survey, and renters now perceive that it has become somewhat less difficult to get a mortgage if they wanted to buy a home.
Stefano Eusepi, Erica Moszkowski, and Argia Sbordone
The May 2016 forecast of the Federal Reserve Bank of New York’s (FRBNY) dynamic stochastic general equilibrium (DSGE) model remains broadly in line with those of our two previous semiannual reports (see our May 2015 and December 2015 posts). In the past year, the headwinds that contributed to slower growth in the aftermath of the financial crisis finally began to abate. However, the widening of credit spreads associated with swings in financial markets in the second half of 2015 and the first few months of this year have had a negative impact on economic activity. Despite this setback, the model expects a rebound in growth in the second half of the year, so that the medium-term forecast remains, as in the December post, one of steady, gradual economic expansion. The model also continues to predict gradual progress in the inflation rate toward the Federal Open Market Committee’s (FOMC) long-run target of 2 percent.
Bonni Brodsky, Marco Del Negro, Joseph Fiorica, Eric LeSueur, Ari Morse, and Anthony Rodrigues
In our previous post, we showed that the gap between the market-implied path for the federal funds rate and the survey-implied mean expectations for the federal funds rate from the Survey of Primary Dealers (SPD) and the Survey of Market Participants (SMP) narrowed from the December survey to the January survey. In particular, we provided explanations for this narrowing as well as for the subsequent widening from January to March. This post continues the discussion by presenting a novel approach called “tilting” that yields insights by measuring how much the survey probability distributions have to be altered to match the market-implied path of the federal funds rate. We interpret any discrepancy between the original and tilted distributions as arising from either risk premia or dispersion in beliefs.
Olivier Armantier, Giorgio Topa, Wilbert van der Klaauw, and Basit Zafar
Today, the New York Fed is introducing a number of new data series and interactive charts reporting findings from its Survey of Consumer Expectations (SCE). Since January 2014, we have been reporting findings from this monthly survey on U.S. households’ views on inflation, commodity prices, the labor market and household finances. In addition to interactive charts showing national trends (going back to June 2013), as well as trends by demographic groups (age, income, education, numeracy and geography), we also make the underlying micro data (with a nine-month lag) available for download for research purposes.
Olivier Armantier, Wilbert van der Klaauw, Giorgio Topa, and Basit Zafar
Correction: In the right panel of the chart, “Mean Probability of Deflation in the SCE,” we have corrected the labels for the group earning less than $75k, which were initially transposed. We regret the error.
The expectations of U.S. consumers about inflation have declined to record lows over the past several months. That is the finding of two leading surveys, the Federal Reserve Bank of New York’s Survey of Consumer Expectations (SCE) and the University of Michigan’s Survey of Consumers (SoC). In this post, we examine whether this decline is broad-based or whether it is driven by specific demographic groups.
Securities broker-dealers (dealers) trade securities on behalf of their customers and themselves. Recently, analysts have pointed to the decline in U.S. dealers’ corporate bond inventories as evidence that dealers’ market making capacity is impaired. However, historically such inventories also reflect dealers’ risk management and proprietary trading activities. In this post, we take a long-term perspective on the evolution of dealers’ inventories of corporate bonds, Treasuries, and other debt securities and relate those inventories to expected returns in fixed-income markets in an effort to better understand the drivers of dealer positioning.
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 Donald Morgan, 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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