Articolo su “Quality and Quantity”

Pubblicato l’articolo “Ensuring generalizability in monitoring and evaluation: extrapolation of treatment effects to larger populations using idiosyncratic effects estimation” a cura di Alessandra Garbero, Grayson Sakos e Giovanni Cerulli sulla rivista “Quality and Quantity. International Journal of Methodology” (Springer Nature).

L’articolo è open access accessibile al link sotto.

 ……. This paper introduces a novel method for extrapolating treatment effects to
quantify and report the number of people benefiting from evaluated programs. The method
leverages idiosyncratic (unit-level) treatment effect estimation to enhance the interpret-
ability of distributional impacts and facilitate more actionable and policy relevant project
results reporting. Crucially, the method allows analysts to define policy-relevant impact
thresholds—such as a minimum income gain—and estimate how many beneficiaries ex-
ceeded them ……….