The Production Smoothing Model is Alive and Well
AbstractMonthly data in physical units for seven industries are used to examine the production smoothing hypothesis. The results strongly support this hypothesis. Significant effects of expected future sales on current production are found for four industries, and the estimated decision equations for all seven industries imply production smoothing behavior. The previous negative results regarding the hypothesis appear to be due to the use of poor data, particularly the shipments and inventory data of the Department of Commerce.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 2877.
Date of creation: Mar 1990
Date of revision:
Contact details of provider:
Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Web page: http://www.nber.org
More information through EDIRC
Other versions of this item:
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Alan S. Blinder, 1981. "Retail Inventory Behavior and Business Fluctuations," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 12(2), pages 443-520.
- Ghali, Moheb A, 1987. "Seasonality, Aggregation and the Testing of the Production Smoothing Hypothesis," American Economic Review, American Economic Association, vol. 77(3), pages 464-69, June.
- Kenneth D. West, 1985.
"A Variance Bounds Test of the Linear Quardractic Inventory Model,"
NBER Working Papers
1581, National Bureau of Economic Research, Inc.
- West, Kenneth D, 1986. "A Variance Bounds Test of the Linear Quadratic Inventory Model," Journal of Political Economy, University of Chicago Press, vol. 94(2), pages 374-401, April.
- Jeffrey A. Miron & Stephen P. Zeldes, .
"Seasonality, Cost Shocks and the Production Smoothing Model of Inventories,"
Rodney L. White Center for Financial Research Working Papers
01-87, Wharton School Rodney L. White Center for Financial Research.
- Miron, Jeffrey A & Zeldes, Stephen P, 1988. "Seasonality, Cost Shocks, and the Production Smoothing Models of Inventories," Econometrica, Econometric Society, vol. 56(4), pages 877-908, July.
- Jeffrey A. Miron & Stephen P. Zeldes, 1989. "Seasonality, Cost Shocks, and the Production Smoothing Model of Inventories," NBER Working Papers 2360, National Bureau of Economic Research, Inc.
- Jeffrey A. Miron & Stephen P. Zeldes, . "Seasonality, Cost Shocks and the Production Smoothing Model of Inventories," Rodney L. White Center for Financial Research Working Papers 1-87, Wharton School Rodney L. White Center for Financial Research.
- Hayashi, Fumio & Sims, Christopher A, 1983. "Nearly Efficient Estimation of Time Series Models with Predetermined, but Not Exogenous, Instruments," Econometrica, Econometric Society, vol. 51(3), pages 783-98, May.
- Blanchard, Olivier J, 1983.
"The Production and Inventory Behavior of the American Automobile Industry,"
Journal of Political Economy,
University of Chicago Press, vol. 91(3), pages 365-400, June.
- Olivier J. Blanchard, 1983. "The Production and Inventory Behavior of the American Automobile Industry," NBER Working Papers 0891, National Bureau of Economic Research, Inc.
- Andrews, Donald W K & Fair, Ray C, 1988. "Inference in Nonlinear Econometric Models with Structural Change," Review of Economic Studies, Wiley Blackwell, vol. 55(4), pages 615-39, October.
- Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.