Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/324167 
Year of Publication: 
2025
Series/Report no.: 
I4R Discussion Paper Series No. 256
Publisher: 
Institute for Replication (I4R), s.l.
Abstract: 
Bellemare et al. (2023b) examine discrimination against individuals with physical disabilities in the labor market in Quebec, Canada. Their findings indicate that callbacks from potential employers decrease by 25 percentage points if physical disability is (randomly) revealed. Callbacks increase by 10 percentage points if there is a video resume (randomly) sent to potential employers. In this document, we first conduct a computational reproduction using the replication package. Then, we test the robustness of the findings to the inclusion of different covariates, selecting them with a Double Selection Lasso approach. We complement the analysis estimating heterogeneous treatment effects using Causal Forests, which allow us to uncover data-driven subgroups and test their responses to the treatment. We find that Bellemare et al. (2023b)'s estimates are stable across these robustness checks.
Document Type: 
Working Paper

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