This post presents an update of the economic forecasts generated by the Federal Reserve Bank of New York’s dynamic stochastic general equilibrium (DSGE) model. We describe very briefly our forecast and its change since March 2018. As usual, we wish to remind our readers that the DSGE model forecast is not an official New York Fed forecast, but only an input to the Research staff’s overall forecasting process. For more information about the model and variables discussed here, see our DSGE model Q & A.
Size Is Not All: Distribution of Bank Reserves and Fed Funds Dynamics
As a consequence of the Federal Reserve’s large-scale asset purchases from 2008-14, banks’ reserve balances at the Fed have increased dramatically, rising from $10 billion in March 2008 to more than $2 trillion currently. In that new environment of abundant reserves, the FOMC put in place a framework for controlling the fed funds rate, using the interest rate that it offered to banks and a different, lower interest rate that it offered to non-banks (and banks). Now that the Fed has begun to gradually reduce its asset holdings, aggregate reserves are shrinking as well, and an important question becomes: How does a change in the level of aggregate reserves affect trading in the fed funds market? In our recent paper, we show that the answer depends not just on the aggregate size of reserve balances, as is sometimes assumed, but also on how reserves are distributed among banks. In particular, we show that a measure of the typical trade in the market known as the effective fed funds rate (EFFR) could rise above the rate paid on banks’ reserve balances if reserves remain heavily concentrated at just a few banks.
U.S. Virgin Islands’ Economy Hit Hard by Irma and Maria
In the nine months that have passed since Hurricanes Irma and Maria ravaged the Caribbean, much interest has been focused on Puerto Rico and its roughly 3.3 million American citizens, who weathered the largest blackout in U.S. history. However, far less attention has been paid to the U.S. Virgin Islands, even though St. Thomas, St. Croix, St. John, and a number of smaller islands suffered comparable devastation. This is partly attributable to their much smaller population: the U.S. Virgin Islands (“Virgin Islands”) is home to roughly 105,000 people—1/30th Puerto Rico’s population. Even so, this territory is also part of the United States and the New York Fed’s district. In this post, we examine roughly six months of economic and related data on the Virgin Islands’ economy to better ascertain the extent of disruption and subsequent recovery from the devastation of Hurricanes Irma and Maria.
Why New York City Subway Delays Don’t Affect All Riders Equally
The state of the New York City subway system has worsened considerably over the past few years. As a consequence of rising ridership and decaying infrastructure, the network is plagued by delays and frequently fails to deliver New Yorkers to their destinations on time. While these delays are a headache for anyone who depends on the subway to get around, they do not affect all riders in the same way. In this post, we explain why subway delays disproportionately affect low-income New Yorkers. We show that wealthier commuters who rely on the subway are less likely to experience extensive issues on their commutes.
How Is Technology Changing the Mortgage Market?
The adoption of new technologies is transforming the mortgage industry. For instance, borrowers can now obtain a mortgage entirely online, and lenders use increasingly sophisticated methods to verify borrower income and assets. In a recent staff report, we present evidence suggesting that technology is reducing frictions in mortgage lending, such as reducing the time it takes to originate a mortgage, and increasing the elasticity of mortgage supply. These benefits do not seem to come at the cost of less careful screening of borrowers.
At the New York Fed: Conference on the Effects of Post‑Crisis Banking Reforms
Crump and Santos preview a New York Fed conference debating the efficacy of post-crisis banking reforms, looking at whether they have achieved their intended goals and considering the unintended consequences.
Hey, Economist! Outgoing New York Fed President Bill Dudley on FOMC Preparation and Thinking Like an Economist
Bill Dudley will soon turn over the keys to the vault—so to speak. But before his tenure in office ends after nine years as president of the New York Fed, Liberty Street Economics caught up with him to capture his parting reflections on economic research, FOMC preparation, and leadership. Publications editor Trevor Delaney recently caught up with Dudley.
Good News, Leverage, and Sudden Stops
One of the major debates in open economy macroeconomics is the extent to which capital inflows are beneficial for growth. In principle, these flows allow countries to increase their consumption and investment spending beyond their income by enabling them to tap into foreign saving. Periods of such borrowing, however, are associated with large trade deficits, external debt accumulation, and, in some cases, overheating when these economies operate beyond their potential output level for an extended period of time. The relevant question in this context is whether the rate at which a country is taking on external debt has useful predictive information about financial crises.
Mixed Impacts of the Federal Tax Reform on Consumer Expectations
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.
Economic Predictions with Big Data: The Illusion of Sparsity
The availability of large data sets, combined with advances in the fields of statistics, machine learning, and econometrics, have generated interest in forecasting models that include many possible predictive variables. Are economic data sufficiently informative to warrant selecting a handful of the most useful predictors from this larger pool of variables? This post documents that they usually are not, based on applications in macroeconomics, microeconomics, and finance.
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