IV Quantile Regression for Group-Level Treatments, with an Application to the Distributional Effects of Trade

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Panel data quantile regression with grouped fixed effects (2018, background): “This is further developed in Arellano and Bonhomme (2016) and Chetverikov, Larsen, and Palmer (2016) where the conditional quantile function of the unobserved heterogeneity is modelled as a function of observable covariates.1 Our contribution, which builds upon Koenker (2004), is a linear quantile…”
Cluster-Robust Bootstrap Inference in Quantile Regression Models (2014, methodology): “Notable exceptions are Wang and He (2007) and Wang (2009), who developed methods for clusterrobust quantile rank score inference, Chetverikov et al. (2013), who introduced a method for instrumental variables estimation in a QR model with cluster-level treatment, and Yoon and Galvao (2013), who…”
When Work Disappears: Manufacturing Decline and the Falling Marriage Market Value of Young Men (2017, methodology): “For this analysis, we implement the Chetverikov et al. (2016) technique for performing instrumental-variable estimates of the distributional effects of group-level treatments. Panel C of Table 1 shows estimates of the effect of trade shocks on the CZ-level male-female earnings gap for the 25th, 50th”
The China Shock: Learning from Labor Market Adjustment to Large Changes in Trade (2016, unknown): “14The popular sentiment notwithstanding, the academic literature has had little success in finding empirical support for systematic renminbi undervaluation (Cheung et al. 2007).”