Abstract
In the previous chapters, we examined parametric and nonparametric methods. In parametrics, we specify the regression function and the conditional distribution of u | x, F u|x . In nonparametrics, neither is specified. So semantically speaking, anything between the two extremes can be called “semi-parametric” or “semi-nonparametric.”
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1996 Springer Science+Business Media New York
About this chapter
Cite this chapter
Lee, Mj. (1996). Semiparametrics. In: Methods of Moments and Semiparametric Econometrics for Limited Dependent Variable Models. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-2550-6_9
Download citation
DOI: https://doi.org/10.1007/978-1-4757-2550-6_9
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-2552-0
Online ISBN: 978-1-4757-2550-6
eBook Packages: Springer Book Archive