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Estimation in large and disaggregated demand systems: an estimator for conditionally linear systems

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  • Richard Blundell
  • Jean Marc Robin

Abstract

Empirical demand systems that do not impose unreasonable restrictions on preferences are typically non‐linear. We show, however, that all popular systems possess the property of conditional linearity. A computationally attractive iterated linear least squares estimator (ILLE) is proposed for large non‐linear simultaneous equation systems which are conditionally linear in unknown parameters. The estimator is shown to be consistent and its asymptotic efficiency properties are derived. An application is given for a 22‐commodity quadratic demand system using household‐level data from a time series of repeated cross‐sections. Copyright © 1999 John Wiley & Sons, Ltd.

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  • Richard Blundell & Jean Marc Robin, 1999. "Estimation in large and disaggregated demand systems: an estimator for conditionally linear systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 209-232, May.
    • Handle: RePEc:wly:japmet:v:14:y:1999:i:3:p:209-232
    DOI: 10.1002/(SICI)1099-1255(199905/06)14:33.0.CO;2-X
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    References listed on IDEAS

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