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Institution

Federal Reserve System

OtherWashington D.C., District of Columbia, United States
About: Federal Reserve System is a other organization based out in Washington D.C., District of Columbia, United States. It is known for research contribution in the topics: Monetary policy & Inflation. The organization has 2373 authors who have published 10301 publications receiving 511979 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a new class of copula-based dynamic models for high-dimensional conditional distributions is proposed to facilitate the estimation of a wide variety of measures of systemic risk.
Abstract: This paper proposes a new class of copula-based dynamic models for high dimension conditional distributions, facilitating the estimation of a wide variety of measures of systemic risk. Our proposed models draw on successful ideas from the literature on modeling high dimension covariance matrices and on recent work on models for general time-varying distributions. Our use of copula-based models enable the estimation of the joint model in stages, greatly reducing the computational burden. We use the proposed new models to study a collection of daily credit default swap (CDS) spreads on 100 U.S. firms over the period 2006 to 2012. We find that while the probability of distress for individual firms has greatly reduced since the financial crisis of 2008-09, the joint probability of distress (a measure of systemic risk) is substantially higher now than in the pre-crisis period.

158 citations

Posted Content
TL;DR: In this paper, the authors explore the connections between changes in technology and the structure of employment and wages and find that the changes in non-production labor share at annual and longer frequencies are dominated by within plant changes.
Abstract: In this paper, we exploit plant-level data for US manufacturing for the 1970s and 1980s to explore the connections between changes in technology and the structure of employment and wages We focus on the nonproduction labor share (measured alternatively by employment and wages) as the variable of interest Our main findings are summarized as follows: (i) aggregate changes in the nonproduction of labor share at annual and longer frequencies are dominated by within plant changes; (ii) the distribution of annual within plant changes exhibits a spike at zero, tremendous heterogeneity and fat left and right tails; (iii) within plant secular changes are concentrated in recessions; and (iv) while observable indicators of changes in technology account for a significant fraction of the secular increase in the average nonproduction labor share, unobservable factors account for most of the secular increase, most of the cyclical variation and most of the cross sectional heterogeneity

158 citations

Journal ArticleDOI
TL;DR: In this paper, the authors compare generalized method of moments (GMM) and maximum likelihood (ML) estimators of the parameters of a linear-quadratic inventory model using nondurable manufacturing data and Monte Carlo simulations.

158 citations

Posted Content
TL;DR: In this article, a significant investment bank fixed effect in the announcement returns of an M&A deal was found, and the interquartile range of bank fixed effects is 1.26%.
Abstract: We document a significant investment bank fixed effect in the announcement returns of an M&A deal. The inter-quartile range of bank fixed effects is 1.26%, compared to a full-sample average return of 0.72%. The results remain significant after controlling for the component of returns attributable to the acquirer. Our findings suggest that investment banks matter for M&A outcomes, and contrast earlier studies which show no positive link between various measures of advisor quality and M&A returns. Differences in average returns across banks are also persistent over time and predictable from prior performance. Clients do not chase past returns, which may explain why persistence exists in M&A performance while it is absent in mutual funds.

158 citations

Journal ArticleDOI
TL;DR: This paper examined the ability of a simple stylized general equilibrium model that incorporates nominal wage rigidity to explain the magnitude and persistence of the Great Depression in the United States, and provided support for the hypothesis that a monetary contraction operating through a sticky wage channel played a significant role in accounting for the downturn, and also provided an interesting refinement to this explanation.
Abstract: This paper examines the ability of a simple stylized general equilibrium model that incorporates nominal wage rigidity to explain the magnitude and persistence of the Great Depression in the United States. The impulses to our analysis are money supply shocks. The Taylor contracts model is surprisingly successful in accounting for the behavior of major macroaggregates and real wages during the downturn phase of the Depression, i.e., from 1929:3 through mid-1933. Our analysis provides support for the hypothesis that a monetary contraction operating through a sticky wage channel played a significant role in accounting for the downturn, and also provides an interesting refinement to this explanation. In particular, both the absolute severity of the Depression's downturn and its relative severity compared to the 1920-21 recession are likely attributable to the price decline having a much larger unanticipated component during the Depression, as well as less flexible wage-setting practices during this latter period. Another finding casts doubt on explanations for the 1933-36 recovery that rely heavily on the substantial remonetization that began in 1933.

157 citations


Authors

Showing all 2412 results

NameH-indexPapersCitations
Ross Levine122398108067
Francis X. Diebold11036874723
Kenneth Rogoff10739075971
Allen N. Berger10638265596
Frederic S. Mishkin10037234898
Thomas J. Sargent9637039224
Ben S. Bernanke9644676378
Stijn Claessens9646242743
Andrew K. Rose8837442605
Martin Eichenbaum8723437611
Lawrence J. Christiano8525337734
Jie Yang7853220004
James P. Smith7837223013
Glenn D. Rudebusch7322622035
Edward C. Prescott7223555508
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202317
202247
2021303
2020448
2019356
2018316