Sensitivity analysis in unconditional quantile effects

Julián Martínez-Iriarte
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Julián Martínez-Iriarte: UC San Diego

No 52, Working Papers from Red Nacional de Investigadores en Economía (RedNIE)

Abstract: This paper proposes a framework to analyze the effects of counterfactual policies on the unconditional quantiles of an outcome variable. For a given counterfactual policy, we obtain identified sets for the effect of both marginal and global changes in the proportion of treated individuals. To conduct a sensitivity analysis, we introduce the quantile breakdown frontier, a curve that quantifies the maximum amount of selection bias consistent with a given conclu- sion of interest across different quantiles. We obtain a v n-consistent estimator of the curve, and propose a bootstrap-based inference procedure. To illustrate our method, we perform a sensitivity analysis on the effect of unionizing low income workers on the quantiles of the distribution of (log) wages.

Keywords: unconditional; quantile; effects; partial; identification; sensitivity; analysis; directional; differentiability (search for similar items in EconPapers)
Pages: 55 pages
Date: 2021-04
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:aoz:wpaper:52

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