Logo
Munich Personal RePEc Archive

Explorations in NISE Estimation

Blankmeyer, Eric (2021): Explorations in NISE Estimation.

This is the latest version of this item.

[thumbnail of MPRA_paper_114477.pdf]
Preview
PDF
MPRA_paper_114477.pdf

Download (295kB) | Preview

Abstract

. Ordinary least squares, two-stage least squares and the NISE estimator are applied to three data sets involving equations from microeconomics and macroeconomics. The focus is on simultaneity bias in linear least squares and on the ability of the other estimators to mitigate the bias.

Available Versions of this Item

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.