ivcrc: An instrumental-variables estimator for the correlated random-coefficients model

David Benson, Matthew Masten and Alexander Torgovitsky

Stata Journal, 2022, vol. 22, issue 3, 469-495

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

Keywords: ivcrc; ivregress; instrumental variables; correlated random co- efficients; heterogeneous treatment effects; varying-coefficient models; returns to schooling (search for similar items in EconPapers)
Date: 2022
Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj22-3/st0646/
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0680 link to article purchase

Related works:
Working Paper: ivcrc: An Instrumental Variables Estimator for the Correlated Random Coefficients Model (2022)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tsj:stataj:y:22:y:2022:i:3:p:469-495

Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html

DOI: 10.1177/1536867X221124449

Access Statistics for this article

Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins

More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().