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21 - Purchasing management survey data: Their value as leading indicators

Published online by Cambridge University Press:  05 June 2012

Philip A. Klein
Affiliation:
Pennsylvania State University
Geoffrey H. Moore
Affiliation:
Columbia University
Kajal Lahiri
Affiliation:
State University of New York, Albany
Geoffrey H. Moore
Affiliation:
Columbia University, New York
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Summary

In the ongoing effort to utilize and improve the forecasting properties of leading indicators, analysts on both sides of the Atlantic and Pacific are increasingly combining quantitative indicators of the sort pioneered by Arthur F. Burns and Wesley C. Mitchell with qualitative survey data. We have in the past considered the forecasting usefulness of a number of surveys, including the surveys conducted by the European Economic Community, the Confederation of British Industry in the United Kingdom, Dun and Bradstreet, Inc., and the Michigan Survey Research Center in the United States. In a paper we presented at the September 1985 meeting of CIRET in Vienna, we explored some of the forecasting properties of the price surveys conducted by the National Association of Purchasing Management (NAPM) in the United States (Moore and Klein, 1985). One of the unique features of this survey is that it reports buying prices rather than selling prices, and we examined some of the relationships between this survey and measures of price fluctuations.

The preliminary work with the NAPM data proved so promising that we here concentrate on this source and develop the analysis not only of prices but also of other leading indicators, namely, new orders, inventory change, and vendor performance. In each case we shall compare the turning points in the NAPM series with the U.S. business cycle chronology as well as with comparable quantitative series. Correlation analyses will also be used. In this way we can evaluate the overall usefulness for forecasting of a data set that we believe has been underutilized thus far.

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Chapter
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Leading Economic Indicators
New Approaches and Forecasting Records
, pp. 403 - 428
Publisher: Cambridge University Press
Print publication year: 1991

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