June 2020 (Revised April 2022)

ivcrc: An Instrumental Variables Estimator for the Correlated Random Coefficients Model

David Benson, Matthew A. Masten, Alexander Torgovitsky


We discuss the ivcrc module, which implements an instrumental variables (IV) estimator for the linear correlated random coefficients (CRC) model. The CRC model is a natural generalization of the standard linear IV model that allows for endogenous, multivalued treatments and unobserved heterogeneity in treatment effects. The estimator implemented by ivcrc uses recent semiparametric identification results that allow for flexible functional forms and permit instruments that may be binary, discrete, or continuous. The ivcrc module also allows for the estimation of varying coefficients regressions, which are closely related in structure to the proposed IV estimator. We illustrate use of ivcrc by estimating the returns to education in the National Longitudinal Survey of Young Men.
Accessible materials (.zip)

Keywords: ivregress, Instrumental Variables, Correlated Random Coefficients, Heterogeneous Treatment Effects, Varying Coefficient Models, Returns to Schooling

DOI: https://doi.org/10.17016/FEDS.2020.046r1

PDF: Full Paper

Original Paper: PDF | Accessible materials (.zip)

Back to Top
Last Update: June 16, 2020