Treatment for natural experiments : Improving causal inference through conceptual definitions and substantive interpretation
Öberg, Stefan LU
(2021)
- Abstract
- The local average treatment effect (LATE) estimator has enabled a wide range of empirical studies that usenatural experiments to estimate causal effects from observational data. However, this empirical literature has overlooked a crucial assumption regarding the definition of the treatment—thepart of the stable unit treatment value assumption referred to asthe consistency assumption in epidemiology. The consequence of ignoring this assumption has been that results have been misinterpreted and over-generalized. I illustrate these problems using examples from seminal studies from the natural experiments literature and present how to improve definitions of the treatment in future studies. Correctly interpreted LATEs are substantiallymore... (More)
- The local average treatment effect (LATE) estimator has enabled a wide range of empirical studies that usenatural experiments to estimate causal effects from observational data. However, this empirical literature has overlooked a crucial assumption regarding the definition of the treatment—thepart of the stable unit treatment value assumption referred to asthe consistency assumption in epidemiology. The consequence of ignoring this assumption has been that results have been misinterpreted and over-generalized. I illustrate these problems using examples from seminal studies from the natural experiments literature and present how to improve definitions of the treatment in future studies. Correctly interpreted LATEs are substantiallymore specific than previously acknowledged but reclaim their internal validity. By providing clear and careful definitions of the treatment and substantive interpretations of the results, future studies will increase their usefulness by presenting the causal effect that has beenactually estimated. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8408dfef-bc02-4c49-b83d-a71307e50a82
- author
- Öberg, Stefan
LU
- publishing date
- 2021-10-21
- type
- Working paper/Preprint
- publication status
- published
- subject
- publisher
- SocArXiv Papers
- DOI
- 10.31235/osf.io/pkyue
- language
- English
- LU publication?
- no
- id
- 8408dfef-bc02-4c49-b83d-a71307e50a82
- date added to LUP
- 2025-09-15 13:48:34
- date last changed
- 2025-10-17 11:07:35
@misc{8408dfef-bc02-4c49-b83d-a71307e50a82,
abstract = {{The local average treatment effect (LATE) estimator has enabled a wide range of empirical studies that usenatural experiments to estimate causal effects from observational data. However, this empirical literature has overlooked a crucial assumption regarding the definition of the treatment—thepart of the stable unit treatment value assumption referred to asthe consistency assumption in epidemiology. The consequence of ignoring this assumption has been that results have been misinterpreted and over-generalized. I illustrate these problems using examples from seminal studies from the natural experiments literature and present how to improve definitions of the treatment in future studies. Correctly interpreted LATEs are substantiallymore specific than previously acknowledged but reclaim their internal validity. By providing clear and careful definitions of the treatment and substantive interpretations of the results, future studies will increase their usefulness by presenting the causal effect that has beenactually estimated.}},
author = {{Öberg, Stefan}},
language = {{eng}},
month = {{10}},
note = {{Preprint}},
publisher = {{SocArXiv Papers}},
title = {{Treatment for natural experiments : Improving causal inference through conceptual definitions and substantive interpretation}},
url = {{http://dx.doi.org/10.31235/osf.io/pkyue}},
doi = {{10.31235/osf.io/pkyue}},
year = {{2021}},
}