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Quantile regression methods for recursive structural equation models

  • Lingjie Ma

    (Institute for Fiscal Studies)

  • Roger Koenker

    ()

    (Institute for Fiscal Studies and University of Illinois)

Two classes of quantile regression estimation methods for the recursive structural equation models of Chesher (2003) are investigated. A class of weighted average derivative estimators based directly on the identification strategy of Chesher is contrasted with a new control variate estimation method. The latter imposes stronger restrictions achieving an asymptotic efficiency bound with respect to the former class. An application of the methods to the study of the effect of class size on the performance of Dutch primary school students shows that (i.) reductions in class size are beneficial for good students in language and for weaker students in mathematics, (ii) larger classes appear bene cial for weaker language students, and (iii.) the impact of class size on both mean and median performance is negligible.

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File URL: http://cemmap.ifs.org.uk/wps/cwp0401.pdf
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Paper provided by Centre for Microdata Methods and Practice, Institute for Fiscal Studies in its series CeMMAP working papers with number CWP01/04.

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Length: 36 pp.
Date of creation: 01 Feb 2004
Date of revision:
Handle: RePEc:ifs:cemmap:01/04
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