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

B. Ottenwaelter, Quang Vuong

    Research output: Contribution to journalArticle

    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.

    Original languageEnglish (US)
    Pages (from-to)224-234
    Number of pages11
    JournalJournal of Business and Economic Statistics
    Volume2
    Issue number3
    DOIs
    StatePublished - 1984

    Fingerprint

    Log-linear Models
    Empirical Analysis
    linear model
    Adjustment
    firm
    Probability Model
    Shock
    demand
    Economics
    economics
    Formulation
    Business
    Empirical analysis
    Log-linear models
    Price adjustment
    Inventory/production
    Demand shocks
    Probability model
    Business survey
    Economic variables

    Keywords

    • Business survey tests
    • Finns' adjustments
    • Log-linear probability models
    • Recursive system

    ASJC Scopus subject areas

    • Statistics and Probability
    • Economics and Econometrics
    • Statistics, Probability and Uncertainty
    • Social Sciences (miscellaneous)

    Cite this

    An empirical analysis of backlog, inventory, production, and price adjustments : An application of recursive systems of log-linear models. / Ottenwaelter, B.; Vuong, Quang.

    In: Journal of Business and Economic Statistics, Vol. 2, No. 3, 1984, p. 224-234.

    Research output: Contribution to journalArticle

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