Working Paper Revision

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

Abstract: 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.

Keywords: ivregress; Instrumental variables; Correlated random coefficients; Heterogeneous treatment effects; Varying coefficient models; Returns to schooling;

JEL Classification: C14; C26; C51; I26;

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

Bibliographic Information

Provider: Board of Governors of the Federal Reserve System (U.S.)

Part of Series: Finance and Economics Discussion Series

Publication Date: 2022-04-04

Number: 2020-046r1

Related Works

• Working Paper Revision: ivcrc: An Instrumental Variables Estimator for the Correlated Random Coefficients Model