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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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Multifactor Productivity Growth Cycles at the Industry Level

TL;DR: Barnes et al. as mentioned in this paper examined multifactor productivity growth cycles at the industry level in Australia and found that there is considerable variation in industry-specific cycles across industries and the market sector.
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Transportation and the economy: linkages at business-cycle frequencies

TL;DR: In this article, the authors defined the classical business cycle and growth-cycle chronologies for the transportation sector and found that, relative to the economy, business cycles in the transportation industry have an average lead of nearly 6 months at peaks and an average lag of 2 months at troughs.
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Business cycles, credit cycles, and asymmetric effects of credit fluctuations: Evidence from Italy for the period of 1861–2013

TL;DR: In this article, the authors proposed a joint dating of Italian business and credit cycles on a historical basis by applying a local turning-point dating algorithm to the level of the variables.
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How economic crises damage potential output – Evidence from the Great Recession

TL;DR: In this article, the authors studied how much, how fast, and how persistently estimates of the capital stock, of trend labor, and of trend total factor productivity are revised downwards after major economic crises.
References
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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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