Work

ivmodel: An R Package for Inference and Sensitivity Analysis of Instrumental Variables Models with One Endogenous Variable

Year: 2021

Type: article

Abstract: We present a comprehensive R software ivmodel for analyzing instrumental variables with one endogenous variable.The package implements a general class of estimators called kclass estimators and two confidence intervals that are fully robust to weak instruments.The package also provides power formulas for various test statistics in instrumental variables.Finally, the package contains methods for sensitivity analysis to examine the sensitivity of the inference to instrumental variables assumptions.We demonstrate the software on the data set from Card (1995), looking at the causal effect of levels of education on log earnings where the instrument is based on proximity to college.

Source: Observational Studies

DOI: 10.1353/obs.2021.0029

Authors: Hyunseung Kang, Yang Jiang, Qingyuan Zhao, Dylan S. Small

Institutions: University of Wisconsin–Madison, University of Cambridge, University of Pennsylvania

Language: English

Topic: Advanced Causal Inference Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: diamond

Funder: National Science Foundation

Award: Theory and Methods for Inferring Causal Effects with Mendelian Randomization