An implimentation of estimators for partially identified parameters as described in Manski The Partial Identification of Probability Distributions. This package provides a syntax for identifying the bounds on parameters whose value cannot be determined but merely constrained. It computes lower and upper bounds on parameters using either non-parameteric regression, series estimators, or linear models, and confidence intervals for the location of the parameter given the upper and lower bounds. It can be used to estimate conditional means with missing data, or treatment effects with selection into treatment.
|Author||person("Gabriel", "Geisler Mesevage", email = "firstname.lastname@example.org", role = c("aut", "cre"))|
|Maintainer||The package maintainer <email@example.com>|
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
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