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Disequilibrium Econometrics on Micro Data

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  • M. B. Bouissou
  • J. J. Laffont
  • Q. H. Vuong

Abstract

This paper brings some empirical evidence to the construction of a more disaggregated view of disequilibrium. Individual data on firms collected by INSEE through periodic Business Surveys are used to construct the distribution of firms over the four possible disequilibrium regimes. Then the behavior of this distribution over time is analyzed by estimating dynamic conditional logit models on panel data.

Suggested Citation

  • M. B. Bouissou & J. J. Laffont & Q. H. Vuong, 1986. "Disequilibrium Econometrics on Micro Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(1), pages 113-124.
    • Handle: RePEc:oup:restud:v:53:y:1986:i:1:p:113-124.
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    File URL: http://hdl.handle.net/10.2307/2297595
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    Cited by:

    1. Jaunius Karmelavičius & Ieva Mikaliūnaitė-Jouvanceau & Austėja Petrokaitė, 2022. "Housing and credit misalignments in a two-market disequilibrium framework," Bank of Lithuania Occasional Paper Series 42, Bank of Lithuania.
    2. Eric Maskin, 2004. "Jean-Jacques Laffont: A Look Back," Journal of the European Economic Association, MIT Press, vol. 2(5), pages 913-923, September.
    3. Plassard, Romain & Renault, Matthieu, 2023. "General equilibrium models with rationing: The making of a ‘European specialty’," European Economic Review, Elsevier, vol. 159(C).
    4. Maziarz Mariusz, 2019. "A disequilibrium mechanism: When managerial decisions cause macroeconomic instability," Economics and Business Review, Sciendo, vol. 5(1), pages 79-92, March.

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