Optimal multi-action treatment allocation: A two-phase field experiment to boost immigrant naturalization

Fuente: arXiv
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Auteurs principaux: Ahrens, Achim, Stampi-Bombelli, Alessandra, Kurer, Selina, Hangartner, Dominik
Format: Preprint
Publié: 2023
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author Ahrens, Achim
Stampi-Bombelli, Alessandra
Kurer, Selina
Hangartner, Dominik
author_facet Ahrens, Achim
Stampi-Bombelli, Alessandra
Kurer, Selina
Hangartner, Dominik
contents Research underscores the role of naturalization in enhancing immigrants' socio-economic integration, yet application rates remain low. We estimate a policy rule for a letter-based information campaign encouraging newly eligible immigrants in Zurich, Switzerland, to naturalize. The policy rule assigns one out of three treatment letters to each individual, based on their observed characteristics. We field the policy rule to one-half of 1,717 immigrants, while sending random treatment letters to the other half. Despite only moderate treatment effect heterogeneity, the policy tree yields a larger, albeit insignificant, increase in application rates compared to assigning the same letter to everyone.
format Preprint
id arxiv_https___arxiv_org_abs_2305_00545
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Optimal multi-action treatment allocation: A two-phase field experiment to boost immigrant naturalization
Ahrens, Achim
Stampi-Bombelli, Alessandra
Kurer, Selina
Hangartner, Dominik
General Economics
Economics
Research underscores the role of naturalization in enhancing immigrants' socio-economic integration, yet application rates remain low. We estimate a policy rule for a letter-based information campaign encouraging newly eligible immigrants in Zurich, Switzerland, to naturalize. The policy rule assigns one out of three treatment letters to each individual, based on their observed characteristics. We field the policy rule to one-half of 1,717 immigrants, while sending random treatment letters to the other half. Despite only moderate treatment effect heterogeneity, the policy tree yields a larger, albeit insignificant, increase in application rates compared to assigning the same letter to everyone.
title Optimal multi-action treatment allocation: A two-phase field experiment to boost immigrant naturalization
topic General Economics
Economics
url https://arxiv.org/abs/2305.00545