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Dissecting the cycle: a methodological investigation

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In this paper, the authors define the cycle as a pattern in the level of aggregate economic activity and develop an algorithm to locate turning points, as well as a new measure of procyclicality.
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This article is published in Journal of Monetary Economics.The article was published on 2002-03-01. It has received 1432 citations till now.

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Transmission of Business Cycle Shocks between Unequal Neighbours: Germany and Austria

TL;DR: In this paper, the authors analyzed the comovement of the German and Austrian economies and the transmission of German shocks to Austria using a two-country VAR model and found that the average reaction of the Austrian economy to German shocks amounts to 44% of German reaction and remains broadly stable over time.

How much did the Federal Reserve learn from history in handling the crisis of 2007-2008

TL;DR: Bordo as mentioned in this paper is an economics professor and the Director of the Center for Monetay and Financial History at Rutgers Univeristy, New Brunswick, New Jersey, USA.
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Una macroeconomía para el desarrollo. Esbozo de un modelo de crecimiento, inversión y distribución del ingreso

TL;DR: In particular, the authors argued that the desempeño macroeconómico de América Latina and el Caribe se caracteriza por tres hechos estilizados.
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A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle.

James D. Hamilton
- 01 Mar 1989 - 
TL;DR: In this article, the parameters of an autoregression are viewed as the outcome of a discrete-state Markov process, and an algorithm for drawing such probabilistic inference in the form of a nonlinear iterative filter is presented.
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Measuring Business Cycles

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Frontiers of business cycle research

TL;DR: In this paper, recursive methods for computing Equilibria of business cycle models are described. But they are not suitable for non-Walrasian economic models with imperfectly competitive product markets.
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Detrending and business cycle facts

TL;DR: This paper examined the business cycle properties of a small set of real US macroeconomic time series using a variety of detrending methods and found that both quantitatively and qualitatively "stylized facts" of US business cycles vary widely across detrended methods and that alternative detending filters extract different types of information from the data.
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