Saved in:
Bibliographic Details
Main Authors: Gechter, Michael, Hirano, Keisuke, Lee, Jean, Mahmud, Mahreen, Mondal, Orville, Morduch, Jonathan, Ravindran, Saravana, Shonchoy, Abu S.
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2405.13241
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866913358539653120
author Gechter, Michael
Hirano, Keisuke
Lee, Jean
Mahmud, Mahreen
Mondal, Orville
Morduch, Jonathan
Ravindran, Saravana
Shonchoy, Abu S.
author_facet Gechter, Michael
Hirano, Keisuke
Lee, Jean
Mahmud, Mahreen
Mondal, Orville
Morduch, Jonathan
Ravindran, Saravana
Shonchoy, Abu S.
contents Policy decisions often depend on evidence generated elsewhere. We take a Bayesian decision-theoretic approach to choosing where to experiment to optimize external validity. We frame external validity through a policy lens, developing a prior specification for the joint distribution of site-level treatment effects using a microeconometric structural model and allowing for other sources of heterogeneity. With data from South Asia, we show that, relative to basing policies on experiments in optimal sites, large efficiency losses result from instead using evidence from randomly-selected sites or, conversely, from sites with the largest expected treatment effects.
format Preprint
id arxiv_https___arxiv_org_abs_2405_13241
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Selecting Experimental Sites for External Validity
Gechter, Michael
Hirano, Keisuke
Lee, Jean
Mahmud, Mahreen
Mondal, Orville
Morduch, Jonathan
Ravindran, Saravana
Shonchoy, Abu S.
General Economics
Economics
Policy decisions often depend on evidence generated elsewhere. We take a Bayesian decision-theoretic approach to choosing where to experiment to optimize external validity. We frame external validity through a policy lens, developing a prior specification for the joint distribution of site-level treatment effects using a microeconometric structural model and allowing for other sources of heterogeneity. With data from South Asia, we show that, relative to basing policies on experiments in optimal sites, large efficiency losses result from instead using evidence from randomly-selected sites or, conversely, from sites with the largest expected treatment effects.
title Selecting Experimental Sites for External Validity
topic General Economics
Economics
url https://arxiv.org/abs/2405.13241