The Sources and Nature of Long-Term Memory in the Business Cycle

Joseph Haubrich and Andrew Lo ()

Rodney L. White Center for Financial Research Working Papers from Wharton School Rodney L. White Center for Financial Research

Abstract: This paper examines the stochastic properties of aggregate macroeconomic time series from the standpoint of fractionally integrated models, and focuses on the persistence of economic shocks. We develop a simple macroeconomic model that exhibits long-term dependence, a consequence of aggregation in the presence of real business cycles. We derive the re-lation between properties of fractionally integrated macroeconomic time series and those of microeconomic data, and discuss how fiscal policy may alter their stochastic behavior. To implement these results empirically, we employ a test for fractionally integrated time series based on the Hurst-Mandelbrot rescaled range. This test is robust to short-term dependence, and is applied to quarterly and annual real GNP to determine the sources and nature of long-term dependence in the business cycle.

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Related works:
Working Paper: The sources and nature of long-term memory in the business cycle (1991)
Working Paper: The Sources and Nature of Long-term Memory in the Business Cycle (1989)
Working Paper: The Sources and Nature of Long-Term Memory in the Business Cycle
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Persistent link: https://EconPapers.repec.org/RePEc:fth:pennfi:05-89

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