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The Seasonal Cycle in U.S. Manufacturing / J. Joseph Beaulieu, Jeffrey A. Miron.

By: Contributor(s): Material type: TextTextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w3450.Publication details: Cambridge, Mass. National Bureau of Economic Research 1990.Description: 1 online resource: illustrations (black and white)Subject(s): Online resources: Available additional physical forms:
  • Hardcopy version available to institutional subscribers
Abstract: This paper examines the seasonal cycle in the manufacturing sector of the U.S. economy. we present estimates of the seasonal patterns in monthly data for 2-digit industries, and we demonstrate the similarity of the seasonal cycle and the business cycle in manufacturing with respect to several key stylized facts about business cycles. The results are an important addition to those in Barsky and Miron (1989) because the monthly data for manufacturing display interesting seasonal fluctuations that are hidden in the quarterly data examined by Barsky and Miron. The most significant is a sharp slowdown in July followed by a significant rebound in August. We argue that this event is not easily explained by technology or preference shifts but instead results from synergies across economic agents.
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Working Paper Biblioteca Digital Colección NBER nber w3450 (Browse shelf(Opens below)) Not For Loan
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September 1990.

This paper examines the seasonal cycle in the manufacturing sector of the U.S. economy. we present estimates of the seasonal patterns in monthly data for 2-digit industries, and we demonstrate the similarity of the seasonal cycle and the business cycle in manufacturing with respect to several key stylized facts about business cycles. The results are an important addition to those in Barsky and Miron (1989) because the monthly data for manufacturing display interesting seasonal fluctuations that are hidden in the quarterly data examined by Barsky and Miron. The most significant is a sharp slowdown in July followed by a significant rebound in August. We argue that this event is not easily explained by technology or preference shifts but instead results from synergies across economic agents.

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