From Local to Global: External Validity in a Fertility Natural Experiment

06/19/2019
by   Rajeev Dehejia, et al.
0

We study issues related to external validity for treatment effects using over 100 replications of the Angrist and Evans (1998) natural experiment on the effects of sibling sex composition on fertility and labor supply. The replications are based on census data from around the world going back to 1960. We decompose sources of error in predicting treatment effects in external contexts in terms of macro and micro sources of variation. In our empirical setting, we find that macro covariates dominate over micro covariates for reducing errors in predicting treatments, an issue that past studies of external validity have been unable to evaluate. We develop methods for two applications to evidence-based decision-making, including determining where to locate an experiment and whether policy-makers should commission new experiments or rely on an existing evidence base for making a policy decision.

READ FULL TEXT
research
02/23/2021

A Review of Generalizability and Transportability

When assessing causal effects, determining the target population to whic...
research
05/18/2020

Compounding Injustice: History and Prediction in Carceral Decision-Making

Risk assessment algorithms in criminal justice put people's lives at the...
research
12/16/2021

Reinforcing RCTs with Multiple Priors while Learning about External Validity

This paper presents a framework for how to incorporate prior sources of ...
research
02/01/2020

Natural Experiments

The term natural experiment is used inconsistently. In one interpretatio...
research
07/01/2020

Regression Discontinuity Design with Multivalued Treatments

We study identification and estimation in the Regression Discontinuity D...
research
10/07/2017

Ranking and Selection with Covariates for Personalized Decision Making

We consider a ranking and selection problem in the context of personaliz...

Please sign up or login with your details

Forgot password? Click here to reset