The Weak Instruments Problem in Factor Models

26 Pages Posted: 10 May 2017

Date Written: January 5, 2017


This study considers the instrumental variable estimation of factor models. Specifically, we investigate the weak instruments problem, which is not well investigated in the literature, in detail. We show that the signal-to-noise ratios, which are defined by the variance ratios of the common components to the errors, of the scaling variable and the instruments are the major factors that determine the strength of the instruments. By means of Monte Carlo simulation, we investigate the performance of the 2SLS estimator with several types and strengths of instruments, and we confirm that the simulation results are consistent with the theoretical implications.

Keywords: factor model; two-stage least squares; weak instruments

Suggested Citation

Hayakawa, Kazuhiko, The Weak Instruments Problem in Factor Models (January 5, 2017). Available at SSRN: or

Kazuhiko Hayakawa (Contact Author)

Hiroshima University ( email )


Here is the Coronavirus
related research on SSRN

Paper statistics

Abstract Views
PlumX Metrics