Work

Constructing independent evidence from regression and instrumental variables with an application to the effect of violent conflict on altruism and risk preference

Year: 2022

Type: article

Abstract: To provide an unbiased estimate, a regression analysis depends, among other things, on there being no unmeasured confounding. Often, unmeasured confounding is thought to be possible, but not severe; leading to a secondary instrumental variables (IV) analysis. However, these two analyses are correlated. It is unclear how much independent evidence is provided by the IV analysis. We resolve this redundancy using a new estimator, which extracts the part of the regression estimator uncorrelated to the IV-based 2SLS estimator. We apply our approach to analyze the effect of exposure to violent conflict on preferences for altruistic behavior, time and risk.

Source: Biostatistics & Epidemiology

DOI: 10.1080/24709360.2022.2109910

Authors: Bikram Karmakar, Dylan S. Small

Institutions: University of Florida, University of Pennsylvania

Language: English

Topic: Advanced Causal Inference Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Peace, justice, and strong institutions

Open Access status: green

Funder: National Science Foundation