IDEAS home Printed from https://ideas.repec.org/p/nse/doctra/g2019-02.html
   My bibliography  Save this paper

Le modèle Avionic: la modélisation input/output des comptes nationaux

Author

Listed:
  • A. BOURGEOIS

    (Insee)

  • A. BRIAND

    (Insee)

Abstract

Ce document présente le modèle Avionic (Analyse variantielle input/output nationale importée et en contenus) développé au département des comptes nationaux de l’Insee. Le modèle s’appuie sur les tableaux entrées-sorties symétriques français, afin de proposer trois types de modélisations : l’estimation des montants d’importations ou de valeur ajoutée générés par une composante de la demande finale (modélisation en contenus de la demande finale) ; l’effet sur la production et les importations d’un choc exogène sur la demande finale française (modélisation d’une variation de la demande finale) ; et enfin l’effet sur le prix de production d’un choc exogène sur le prix des intrants (modélisation de variation de prix). Le modèle est applicable à un niveau détaillé de la nomenclature (niveau G, 138 produits). Sa modélisation en prix est assez novatrice car elle intègre des coefficients de transmission des prix qui traduisent le fait que la propagation d’une hausse de prix dépend dans chaque branche, du comportement des entreprises. Le modèle permet aussi d’envisager des extensions en mobilisant des données variées (données d’emploi, de matières…). Enfin le modèle s’adapte aux bases de données internationales développées récemment à l’OCDE (TiVA) ou à Eurostat (Figaro) qui s’appuient sur des TES inter-pays.

Suggested Citation

  • A. Bourgeois & A. Briand, 2019. "Le modèle Avionic: la modélisation input/output des comptes nationaux," Documents de Travail de l'Insee - INSEE Working Papers g2019-02, Institut National de la Statistique et des Etudes Economiques.
  • Handle: RePEc:nse:doctra:g2019-02
    as

    Download full text from publisher

    File URL: https://www.bnsp.insee.fr/ark:/12148/bc6p06zrgnf/f1.pdf
    File Function: Document de travail de la DESE numéro G2019/02
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:hal:spmain:info:hdl:2441/lr26q984g9ugrdd32sak3evpm is not listed on IDEAS
    2. Marion Cochard & Guillaume Daudin & Sandra Fronteau & Christine Rifflart, 2016. "Commerce vertical et propagation des chocs de prix. Le cas de la zone euro," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 131-166.
    3. Christine Rifflart & Sandra Fronteau & Guillaume Daudin & Marion Cochard, 2016. "Commerce vertical et propagation des chocs de prix : le cas de la zone euro," Post-Print hal-01482218, HAL.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marilia Marcato & Carolina Baltar & Fernando Sarti, 2019. "International competitiveness in a vertically fragmented production structure: empirical challenges and evidence," Economics Bulletin, AccessEcon, vol. 39(2), pages 876-893.
    2. Camatte, Hadrien & Daudin, Guillaume & Faubert, Violaine & Rifflart, Christine, 2023. "Estimating the elasticity of consumer prices to the exchange rate: An accounting approach," Journal of International Money and Finance, Elsevier, vol. 137(C).
    3. Hadrien Camatte & Guillaume Daudin & Violaine Faubert & Antoine Lalliard & Christine Rifflart, 2021. "Global value chains and the transmission of exchange rate shocks to consumer prices," Working Papers hal-03374355, HAL.

    More about this item

    Keywords

    national accounts; input/output model; contents; variations; value added; imports; intercountry TES; TiVA; Figaro;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nse:doctra:g2019-02. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: INSEE (email available below). General contact details of provider: https://edirc.repec.org/data/inseefr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.