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A Note On Identification With Averaged Data

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  • Machado, José A.F.
  • Santos Silva, J.M.C.

Abstract

In most cases where estimation with averaged data is performed, interest lies on the parameters of a model at the individual level, but grouped data are used because disaggregate data are not observed. In this note we study the conditions under which it is possible to consistently estimate the parameters of the individual data model using averaged data, giving particular attention to the case of endogenous selection into groups.We are grateful to an anonymous referee for helpful comments and suggestions. We also thank Pedro Duarte Neves, Les Godfrey, Paulo Parente, Maximiano Pinheiro, and Pedro Portugal for helpful discussions. The usual disclaimer applies. Machado is consultant for the Research Department of Banco de Portugal. Santos Silva is grateful for the hospitality, working conditions, and financial support provided by Banco de Portugal, which made this work possible. The authors also gratefully acknowledge partial financial support from Fundação para a Ciência e Tecnologia, program POCTI, partially funded by FEDER.

Suggested Citation

  • Machado, José A.F. & Santos Silva, J.M.C., 2006. "A Note On Identification With Averaged Data," Econometric Theory, Cambridge University Press, vol. 22(3), pages 537-541, June.
  • Handle: RePEc:cup:etheor:v:22:y:2006:i:03:p:537-541_06
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    Cited by:

    1. Reis, Hugo J. & Santos Silva, J.M.C., 2006. "Hedonic prices indexes for new passenger cars in Portugal (1997-2001)," Economic Modelling, Elsevier, vol. 23(6), pages 890-908, December.
    2. David Boto-García & Veronica Leoni, 2023. "The Economic Value of Coastal Amenities: Evidence from Beach Capitalization Effects in Peer-to-Peer Markets," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(2), pages 529-557, February.
    3. Meister, Alexander, 2007. "Optimal convergence rates for density estimation from grouped data," Statistics & Probability Letters, Elsevier, vol. 77(11), pages 1091-1097, June.

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