2005
DOI: 10.1111/j.1468-0262.2005.00628.x
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Nonparametric Identification under Discrete Variation

Abstract: 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… Show more

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Cited by 140 publications
(131 citation statements)
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References 27 publications
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“…When the exposure is binary, the core instrumental variable assumptions only identify bounds for the causal effect rather than a single causal estimate [30,31]. It may in some cases that these bounds are able to …”
Section: Bounds For the Causal Effectmentioning
confidence: 99%
“…When the exposure is binary, the core instrumental variable assumptions only identify bounds for the causal effect rather than a single causal estimate [30,31]. It may in some cases that these bounds are able to …”
Section: Bounds For the Causal Effectmentioning
confidence: 99%
“…JPX proposed the use of ''global'' rather than ''local'' conditions in the sense that they imposed a global exclusion restriction (Z does not enter g) and assumed that Z is independent of (U, V ). Although their global conditions are stronger than the Chesher (2005) an alternative weaker rank condition that in some cases permits the construction of tighter bounds on ψ * than those obtained in Chesher (2005). Second, this weaker rank condition allows them to construct meaningful bounds on ψ * when D is binary something that Chesher (2005) cannot do.…”
Section: Introductionmentioning
confidence: 93%
“…Although their global conditions are stronger than the Chesher (2005) an alternative weaker rank condition that in some cases permits the construction of tighter bounds on ψ * than those obtained in Chesher (2005). Second, this weaker rank condition allows them to construct meaningful bounds on ψ * when D is binary something that Chesher (2005) cannot do. Therefore, JPX proposed a general method to derive tighter bounds on ψ * under a set of global conditions.…”
Section: Introductionmentioning
confidence: 93%
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