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An empirical analysis of backlog, inventory, production, and price adjustments: An application of recursive systems of log-linear models

Ottenwaelter, B. and Vuong, Quang H. (1984) An empirical analysis of backlog, inventory, production, and price adjustments: An application of recursive systems of log-linear models. Journal of Business & Economic Statistics, 2 (3). pp. 224-234. ISSN 0735-0015. http://resolver.caltech.edu/CaltechAUTHORS:20171115-163603445

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Abstract

This article presents an empirical analysis of firms' order backlogs, inventories, production, and price adjustments to unanticipated demand shocks. The data are obtained from quarterly INSEE Business Survey Tests on firms' realizations, expectations, and appraisals of some various economic variables. The analysis is based on the formulation and the estimation of a recursive system of conditional log-linear probability models.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.2307/1391705DOIArticle
http://www.jstor.org/stable/1391705JSTORArticle
http://resolver.caltech.edu/CaltechAUTHORS:20171002-140313542Related ItemWorking Paper
Additional Information:© 1984 American Statistical Association. A more detailed version of this article (Ottenwaelter and Vuong 1982) is available. This research was supported by the Centre National de la Recherche Scientifique (CNRS) under ERA 199. The authors are grateful to D. Grether, J. Link, G. Oudiz, M. Nerlove, and the referee for helpful criticism. Formerly SSWP 442.
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Funding AgencyGrant Number
Centre National de la Recherche Scientifique (CNRS)ERA 199
Subject Keywords:business survey tests; firms' adjustments, recursive system, log-linear probability models
Record Number:CaltechAUTHORS:20171115-163603445
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20171115-163603445
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:83244
Collection:CaltechAUTHORS
Deposited By: Jacquelyn Bussone
Deposited On:16 Nov 2017 18:47
Last Modified:16 Nov 2017 18:47

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