This paper provides weak conditions under which there is nonparametric interval identification of local features of a structural function that depends on a discrete endogenous variable and is nonseparable in latent variates. The function delivers values of a discrete or continuous outcome and instruments may be discrete valued. Application of the analog principle leads to quantile regression based interval estimators of values and partial differences of structural functions. The results are used to investigate the nonparametric identifying power of the quarter-of-birth instruments used in Angrist and Krueger's 1991 study of the returns to schooling. Copyright The Econometric Society 2005.
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Article provided by Econometric Society in its journal Econometrica.
Volume (Year): 73 (2005) Issue (Month): 5 (09) Pages: 1525-1550 Download reference. The following formats are available: HTML,
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Jose A. F. Machado & J. M. C. Santos Silva, 2002.
"Quantiles for counts,"
CeMMAP working papers
CWP22/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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Koenker, Roger W & Bassett, Gilbert, Jr, 1978.
"Regression Quantiles,"
Econometrica,
Econometric Society, vol. 46(1), pages 33-50, January.
[Downloadable!] (restricted)
Andrew Chesher, 2002.
"Instrumental Values,"
CeMMAP working papers
CWP17/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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