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Keywords:recession 

Newsletter
Looking down the road with ALEX: Forecasting U.S. GDP

In this article, we examine the recovery from the recession that began with the onset of the Covid-19 pandemic in the U.S. To do so, we present and discuss for the first time the results from a mixed-frequency Bayesian vector autoregressive model called ALEX. This model uses 107 monthly and quarterly indicators of economic activity to forecast the near-term path of U.S. real gross domestic product (GDP).
Chicago Fed Letter , Issue 447 , Pages 5

Working Paper
Managing a New Policy Framework: Paul Volcker, the St. Louis Fed, and the 1979-82 War on Inflation

In October 1979, Federal Reserve Chairman Paul Volcker persuaded his FOMC colleagues to adopt a new policy framework that i) accepted responsibility for controlling inflation and ii) implemented new operating procedures to control the growth of monetary aggregates in an effort to restore price stability. These moves were strongly supported by monetarist-oriented economists, including the leadership and staff of the Federal Reserve Bank of St. Louis. The next three years saw inflation peak and then fall sharply, but also two recessions and considerable volatility in interest rates and money ...
Working Papers , Paper 2020-022

Using Data to Show When Recessions End

Could weekly data—such as the Weekly Economic Index—be used in calculating when recessions end, in addition to monthly and quarterly data?
On the Economy

Working Paper
Forecasting Low Frequency Macroeconomic Events with High Frequency Data

High-frequency financial and economic activity indicators are usually time aggregated before forecasts of low-frequency macroeconomic events, such as recessions, are computed. We propose a mixed-frequency modelling alternative that delivers high-frequency probability forecasts (including their confidence bands) for these low-frequency events. The new approach is compared with single-frequency alternatives using loss functions adequate to rare event forecasting. We provide evidence that: (i) weekly-sampled spread improves over monthly-sampled to predict NBER recessions, (ii) the predictive ...
Working Papers , Paper 2020-028

Journal Article
The Long Road to Recovery: New York Schools in the Aftermath of the Great Recession

Using rich panel data and an interrupted time-series analysis, the authors examine how the funding and expenditure dynamics of New York school districts changed in the four years after the Great Recession. Extending prior work on the immediate effects of the recession on school finances in 2009-10 in Chakrabarti, Livingston, and Setren (2015), they take a longer-term view through 2012, to document what happened when support from federal stimulus funding began to dwindle and then ended. The analysis finds that the more than $6 billion in support from the American Recovery and Reinvestment Act ...
Economic Policy Review , Volume 25 , Issue Dec

Discussion Paper
How Equitable Has the COVID Labor Market Recovery Been?

One of the two monetary policy goals of the Federal Reserve System— one-half of our dual mandate—is to aim for “maximum employment.” However, labor market outcomes are not monolithic, and different demographic and economic groups experience different labor market outcomes. In this post, we analyze heterogeneity in employment rates by race and ethnicity, focusing on the COVID-19 recession of March-April 2020 and its aftermath. We find that the demographic employment gaps temporarily increased during the onset of the pandemic but narrowed back by spring 2022 to close to where they were ...
Liberty Street Economics , Paper 20220630a

Working Paper
A Comparison of Fed "Tightening" Episodes since the 1980s

Deciding to undertake a series of tightening actions present unique challenges for Federal Reserve policymakers. These challenges are both political and economic. Using a variety of economic and financial market metrics, this article examines how the economy and financial markets evolved in response to the five tightening episodes enacted by the FOMC since 1983. The primary aim is to compare the most-recent episode, from December 2015 to December 2018, with the previous four episodes. The findings in this article indicate that the current episode bears some resemblance to previous Fed ...
Working Papers , Paper 2020-003

Report
The impact of the Great Recession on school district finances: evidence from New York

Despite education?s fundamental role in human capital formation and growth, there is no research that examines the effect of the Great Recession (or any other recession) on schools. Our paper begins to fill this gap. Exploiting detailed data on school finance indicators and an analysis of trend shifts, we examine how the Great Recession affected school funding in New York State. While we find no evidence of effects on either total revenue or expenditure, there were important compositional changes to both. There is strong evidence of substitution of funds on the revenue side?the infusion of ...
Staff Reports , Paper 534

Journal Article
A tale of two states: the recession’s impact on N.Y. and N.J. school finances

Although schools play a crucial role in human capital formation and economic growth, relatively few studies consider the effect of recessions (and in particular the Great Recession) on schools. This article helps fill this gap by comparing and contrasting the effects of the Great Recession on school districts in New York and New Jersey. In fact, it is the first article to compare the impacts of the Great Recession on schools in different states. The authors find that the two states had very different experiences in the two years following the recession. While total school funding in New York ...
Economic Policy Review , Issue 23-1 , Pages 30-42

Working Paper
Binary Conditional Forecasts

While conditional forecasting has become prevalent both in the academic literature and in practice (e.g., bank stress testing, scenario forecasting), its applications typically focus on continuous variables. In this paper, we merge elements from the literature on the construction and implementation of conditional forecasts with the literature on forecasting binary variables. We use the Qual-VAR [Dueker (2005)], whose joint VAR-probit structure allows us to form conditional forecasts of the latent variable which can then be used to form probabilistic forecasts of the binary variable. We apply ...
Working Papers , Paper 2019-29

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Chakrabarti, Rajashri 16 items

Livingston, Max 6 items

Kliesen, Kevin L. 5 items

Owyang, Michael T. 5 items

Avtar, Ruchi 4 items

Pinkovskiy, Maxim L. 4 items

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COVID-19 16 items

inflation 10 items

school finance 10 items

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