Liberty Street Economics

Look for our next post on August 5.

September 28, 2018

Puerto Rico Post‑Maria: Twelve Months of Hardship

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.

Unlocking the Treasury Market through TRACE

The U.S. Treasury market is widely regarded as the deepest and most liquid securities market in the world, playing a critical role in the global economy and in the Federal Reserve’s implementation of monetary policy. Despite the Treasury market’s importance, the official sector has historically had limited access to information on cash market transactions. This data gap was most acutely demonstrated in the investigation of the October 15, 2014, flash event in the Treasury market, as highlighted in the Joint Staff Report (JSR). Following the JSR, steps were taken to improve regulators’ access to information on Treasury market activity, as detailed in a previous Liberty Street Economics post, with Financial Industry Regulatory Authority (FINRA) members beginning to submit data on cash market transactions to FINRA’s Trade Reporting and Compliance Engine (TRACE) on July 10, 2017. This joint FEDS Note and Liberty Street Economics blog post from staff at the Board of Governors of the Federal Reserve System and Federal Reserve Bank of New York aims to share initial insights on the transactions data reported to TRACE, focusing on trading volumes in the market.

Posted at 7:00 am in Financial Markets | Permalink
September 12, 2018

Do You Know How Your Treasury Trades Are Cleared and Settled?

The Treasury Market Practices Group (TMPG) recently released a consultative white paper on clearing and settlement processes for secondary market trades of U.S. Treasury securities. The paper describes in detail the many ways Treasury trades are cleared and settledinformation that may not be readily available to all market participantsand identifies potential risk and resiliency issues. The work is designed to facilitate discussion as to whether current practices have room for improvement. In this post, we summarize the current state of clearing and settlement for secondary market Treasury trades and highlight some of the risks described in the white paper.

September 10, 2018

Whither Labor Force Participation?

Halting a nearly decade-long downward trend, the U.S. labor force participation rate (LFPR) has flattened since 2016, fluctuating within a narrow range a little below 63 percent. What role has the economy played in this change and what can we expect for the future? In this post, we investigate the extent to which the recent flattening of participation can be attributed to the simultaneous robust improvement in the labor market. We also assess the future path of participation in the medium run should labor market conditions improve further.

Posted at 7:00 am in Labor Market | Permalink | Comments (1)
September 5, 2018

Education’s Role in Earnings, Employment, and Economic Mobility

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.

August 16, 2018

Just Released: August Regional Survey—Businesses See Tariffs Raising Prices

This week, we released our August surveys of manufacturers and service firms. Our Supplemental Survey Report, released this morning, reveals how businesses view the effects of recent trade policy on their costs, prices, sales, and profits. The results suggest that recent tariffs are raising both input costs and selling prices for local businesses, and these effects appear to be more widespread for manufacturers than for service firms.

August 15, 2018

Will Demographic Headwinds Hobble China’s Economy?

China’s population is only growing at a 0.5 percent annual rate, its working-age cohort (ages 15 to 64) is shrinking, and the share of the population that is 65 and over is rising rapidly. Together, these trends will act as a significant restraint on the country’s economic growth. Nonetheless, there are reasons to conclude that growth will remain relatively strong going forward, most notably because the ongoing shift from rural to urban jobs will continue to boost labor productivity for some time to come.

Posted at 7:00 am in Demographics, Macroeconomics | Permalink
August 14, 2018

Just Released: Cleaning Up Collections

Household debt balances continued their upward trend in the second quarter, with increases in mortgage, auto, and credit card balances, according to the latest Quarterly Report on Household Debt and Credit from the New York Fed’s Center for Microeconomic Data. Student loans were roughly flat, a typical seasonal pattern in the second quarter. The Quarterly Report contains summaries of the types of information that is covered in credit reports, sourced from the New York Fed Consumer Credit Panel (CCP). The CCP is based on anonymized Equifax credit reports and is the source for the analysis provided in this post, which focuses on an area that until recently has received little attention: collections accounts.

Posted at 11:00 am in Household Finance | Permalink | Comments (4)
August 13, 2018

Do Import Tariffs Help Reduce Trade Deficits?

Import tariffs are on the rise in the United States, with a long list of new tariffs imposed in the last few months—25 percent on steel imports, 10 percent on aluminum, and 25 percent on $50 billion of goods from China—and possibly more to come on China and the auto industry. One of the objectives of these new tariffs is to reduce the U.S. trade deficit, which stood at $568.4 billion in 2017 (2.9 percent of GDP). The fact that the United States imports far more than it exports is viewed by some as unfair, so the idea is to try to reduce the amount that the nation imports from the rest of the world. While more costly imports are likely to reduce the quantity and value of imports into the United States, the story does not stop there, because we cannot presume that the value of exports will remain unchanged. In this post, we argue that U.S. exports will also fall, not only because of other countries’ retaliatory tariffs on U.S. exports, but also because the costs for U.S. firms producing goods for export will rise and make U.S. exports less competitive on the world market. The end result is likely to be lower imports and lower exports, with little improvement in the trade deficit.

August 10, 2018

Opening the Toolbox: The Nowcasting Code on GitHub

In April 2016, we unveiled—and began publishing weekly—the New York Fed Staff Nowcast, an estimate of GDP growth using an automated platform for tracking economic conditions in real time. Today we go a step further by publishing the MATLAB code for the nowcasting model, available here on GitHub, a public repository hosting service.

Posted at 11:15 am in Forecasting, Macroeconomics | Permalink
About the Blog

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.

Liberty Street Economics does not publish new posts during the blackout periods surrounding Federal Open Market Committee meetings.

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.

Economic Research Tracker

Image of NYFED Economic Research Tracker Icon Liberty Street Economics is available on the iPhone® and iPad® and can be customized by economic research topic or economist.

Most Read this Year

Comment Guidelines

 

We encourage your comments and queries on our posts and will publish them (below the post) subject to the following guidelines:

Please be brief: Comments are limited to 1,500 characters.

Please be aware: Comments submitted shortly before or during the FOMC blackout may not be published until after the blackout.

Please be relevant: Comments are moderated and will not appear until they have been reviewed to ensure that they are substantive and clearly related to the topic of the post.

Please be respectful: We reserve the right not to post any comment, and will not post comments that are abusive, harassing, obscene, or commercial in nature. No notice will be given regarding whether a submission will or will
not be posted.‎

Comments with links: Please do not include any links in your comment, even if you feel the links will contribute to the discussion. Comments with links will not be posted.

Send Us Feedback

Disclosure Policy

The LSE editors ask authors submitting a post to the blog to confirm that they have no conflicts of interest as defined by the American Economic Association in its Disclosure Policy. If an author has sources of financial support or other interests that could be perceived as influencing the research presented in the post, we disclose that fact in a statement prepared by the author and appended to the author information at the end of the post. If the author has no such interests to disclose, no statement is provided. Note, however, that we do indicate in all cases if a data vendor or other party has a right to review a post.

Archives