NSF Org:	SES Division of Social and Economic Sciences
Recipient:	UNIVERSITY OF WISCONSIN SYSTEM
Initial Amendment Date:	April 7, 1994
Latest Amendment Date:	April 5, 1996
Award Number:	9320935
Award Instrument:	Continuing Grant
Program Manager:	Daniel H. Newlon SES  Division of Social and Economic Sciences SBE  Directorate for Social, Behavioral and Economic Sciences
Start Date:	July 1, 1994
End Date:	June 30, 1997 (Estimated)
Total Intended Award Amount:	$68,086.00
Total Awarded Amount to Date:	$68,086.00
Funds Obligated to Date:	FY 1994 = $21,951.00 FY 1995 = $22,686.00 FY 1996 = $1,149.00
History of Investigator:	John Shea (Principal Investigator)
Recipient Sponsored Research Office:	University of Wisconsin-Madison 21 N PARK ST STE 6301 MADISON WI  US  53715-1218 (608)262-3822
Sponsor Congressional District:	02
Primary Place of Performance:	University of Wisconsin-Madison 21 N PARK ST STE 6301 MADISON WI  US  53715-1218
Primary Place of Performance Congressional District:	02
Unique Entity Identifier (UEI):	LCLSJAGTNZQ7
Parent UEI:
NSF Program(s):	Economics
Primary Program Source:	app-0194  app-0195  app-0196
Program Reference Code(s):	0000, 9149, MANU, OTHR
Program Element Code(s):	132000
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.075

ABSTRACT

9320935 Shea This research will investigate the source of comovements across various industries at business cycle frequencies. The important fact about business cycles in the United States is that different industries tend to experience expansions and contractions at the same time. Most industries do well simultaneously during a boom; conversely, most industries do poorly simultaneously during a recession. There are two potential explanations for such interindustry comovements. One explanation is that different industries tend to experience similar shocks.The second explanation is the existence of linkages or complementarities connecting different industries to each other. This research seeks to determine which types of complementarity, if any have been important sources of interindustry comovements in the postwar United States.The strategy adopted in the study is to compare the predictions of various linkage models to the actual pattern of employment and output comovement among one hundred and twenty six US manufacturing industries during the postwar period. The results from this study will help reveal the channels by which shocks are transmitted across sectors of the economy, and further our understanding of the causes of business cycles. ***

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