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Testing for asymmetric information in the viager market

Author

Listed:
  • Laurent Linnemer

    (CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - Groupe ENSAE-ENSAI - Groupe des Écoles Nationales d'Économie et Statistique - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - Groupe ENSAE-ENSAI - Groupe des Écoles Nationales d'Économie et Statistique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique)

  • Philippe Février
  • Michael Visser

    (CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - Groupe ENSAE-ENSAI - Groupe des Écoles Nationales d'Économie et Statistique - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - Groupe ENSAE-ENSAI - Groupe des Écoles Nationales d'Économie et Statistique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique)

Abstract

A viager real estate transaction consists in selling a property in return for a down payment and a life annuity that the buyer has to pay until the seller dies. This paper tests for the presence of asymmetric information in this market using notarial data on transactions in Paris between 1993 and 2001. We first derive and test empirically a no arbitrage condition stating that the price of a viager has to be equal to its expected returns. Using this condition, we identify the type of the seller as a sum of weighted death probabilities. By comparing these sums with analogously defined national-level sums we find that sellers have on average shorter survival times than persons in the general population. We then develop a model for a viager sale and derive testable predictions under symmetric and asymmetric information. Our test for asymmetric information consists in regressing the contract parameters (down payment and annuity) on the inferred type of the seller, and comparing the estimates with the predicted outcomes. The hypothesis that information is symmetrically distributed between buyers and sellers is accepted.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Laurent Linnemer & Philippe Février & Michael Visser, 2012. "Testing for asymmetric information in the viager market," Post-Print hal-01629755, HAL.
    • Handle: RePEc:hal:journl:hal-01629755
    DOI: 10.1016/j.jpubeco.2011.08.010
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    Cited by:

    1. André Masson, 2015. "L’épargnant propriétaire face à ses vieux jours," Revue française d'économie, Presses de Sciences-Po, vol. 0(2), pages 129-177.
    2. Achou, Bertrand, 2021. "Housing liquidity and long-term care insurance demand: A quantitative evaluation," Journal of Public Economics, Elsevier, vol. 194(C).

    More about this item

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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