Document Type
Discussion Paper
Publication Date
7-1-2015
CFDP Number
2009
CFDP Pages
20
Abstract
This paper considers stationary regression models with near-collinear regressors. Limit theory is developed for regression estimates and test statistics in cases where the signal matrix is nearly singular in finite samples and is asymptotically degenerate. Examples include models that involve evaporating trends in the regressors that arise in conditions such as growth convergence. Structural equation models are also considered and limit theory is derived for the corresponding instrumental variable estimator, Wald test statistic, and overidentification test when the regressors are endogenous.
Recommended Citation
Phillips, Peter C.B., "Inference in Near Singular Regression" (2015). Cowles Foundation Discussion Papers. 2445.
https://elischolar.library.yale.edu/cowles-discussion-paper-series/2445