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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: The authors examined the role of monetary policy in the housing bubble and found that monetary policy may have contributed to the run-up, and subsequent collapse, in house prices, and examined the setting of monetary policies in the middle of this decade.
Abstract: We examine the role of monetary policy in the housing bubble. Our review examines the setting of monetary policy in the middle of this decade, the impetus from monetary policy to the housing market, and other factors that may have contributed to the run-up, and subsequent collapse, in house prices.

309 citations

Posted Content
TL;DR: In this paper, the authors use a rational expectations model to study the twin effects of inflation targeting and show that in terms of the welfare effects of long-run inflation, it is optimal to set monetary policy so that the nominal interest rate is close to zero, replicating in an imperfectly competitive model the result that Friedman found under perfect competition.
Abstract: Inflation targeting is a monetary policy rule that has implications for both the average performance of an economy and its business cycle behavior. We use a modern, rational expectations model to study the twin effects of this policy rule. The model highlights forward- looking consumption and labor supply decisions by households and forward-looking investment and price-setting decisions by firms. In it, monetary policy has real effects because imperfectly competitive firms are constrained to adjust prices only infrequently and satisfy all demand at posted prices. In this 'sticky price' model, there are also effects of the average rate of inflation on the amount of time that individuals must devote to shopping activity and on the average markup of price over cost that firms can charge. However, in terms of the welfare effects of long-run inflation, it is optimal to set monetary policy so that the nominal interest rate is close to zero, replicating in an imperfectly competitive model the result that Friedman found under perfect competition. A perfect inflation target has desirable effects on the response of the macroeconomy to permanent shocks to productivity and money demand. Under such a policy rule, the monetary authority makes the money supply evolve so a model with sticky prices behaves much like one with flexible prices.

308 citations

Journal ArticleDOI
TL;DR: This article used a bootstrap approach to test for cointegration between house prices and income in a panel of 95 metro areas over 23 years, and showed that even these more powerful tests do not reject the hypothesis of no co-integration.
Abstract: The proposition that "housing prices can't continue to outpace growth in household income" (Wall Street Journal; July 25, 2002) is the received wisdom among many housing-market observers. More formally, many in the housing literature argue that house prices and income are cointegrated. In this paper, I show that the data do not support this view. Standard tests using 27 years of national-level data do not find evidence of cointegration. However, it is known that tests for cointegration have low power, especially in small samples. I use panel-data tests for cointegration that have been shown to be more powerful than their standard time-series counterparts to test for cointegration in a panel of 95 metro areas over 23 years. Using a bootstrap approach to allow for cross-correlations in city-level house-price shocks, I show that even these more powerful tests do not reject the hypothesis of no cointegration. Thus the error-correction specification for house prices and income commonly found in the literature may be inappropriate.

307 citations

Journal ArticleDOI
TL;DR: The authors used cointegration techniques and error-correction models to re-examine the link between real exchange rates and real interest rate differentials and concluded that there is little empirical evidence in support of a systematic relationship and this result is robust across exchange rates, time periods and measures of expected inflation.

307 citations

Journal ArticleDOI
TL;DR: In this article, the authors adopt a systemic risk indicator measured by the price of insurance against systemic financial distress and assess individual banks' marginal contributions to the systemic risk using publicly available data to the 19 bank holding companies covered by the U.S. Supervisory Capital Assessment Program (SCAP).
Abstract: We adopt a systemic risk indicator measured by the price of insurance against systemic financial distress and assess individual banks’ marginal contributions to the systemic risk. The methodology is applied using publicly available data to the 19 bank holding companies covered by the U.S. Supervisory Capital Assessment Program (SCAP), with the systemic risk indicator peaking around $1.1 trillion in March 2009. Our systemic risk contribution measure shows interesting similarity to and divergence from the SCAP loss estimates under stress test scenarios. In general, we find that a bank’s contribution to the systemic risk is roughly linear in its default probability but highly nonlinear with respect to institution size and asset correlation.

306 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
2021304
2020448
2019356
2018316