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Impact of Fiscal Policy on Residential Investment in France

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  • Antipa, P.
  • Schalck, C.

Abstract

The present paper assesses the impact of fiscal policy on residential investment in France. The analysis is conducted in the framework of a VECM, since this allows accounting for endogeneity between the variables. Our results imply that a long term relationship between investment and subsidies exists, making subsidies an adequate measure to influence residential investment and hence the business cycle. In addition, a disaggregated approach taking into account several different types of fiscal measures highlights that tax and interest rate subsidies are the most efficient fiscal tool for influencing residential investment. When accounting for financial factors by means of households' borrowing capacity, we find that the latter also impacts residential investment positively. Moreover, this alternative specification underlines the robustness of the above mentioned results, as it confirms subsidies as the most efficient measure to influence residential investment.

Suggested Citation

  • Antipa, P. & Schalck, C., 2009. "Impact of Fiscal Policy on Residential Investment in France," Working papers 270, Banque de France.
  • Handle: RePEc:bfr:banfra:270
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Sandrine Levasseur, 2013. "Éléments de réflexion sur le foncier et sa contribution au prix de l'immobilier," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(2), pages 365-394.
    2. Álvarez, L-J. & Bulligan, G. & Cabrero, A. & Ferrara, L. & Stahl, H., 2009. "Housing cycles in the major euro area countries," Working papers 269, Banque de France.

    More about this item

    Keywords

    Fiscal policy; residential investment; VECM.;

    JEL classification:

    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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