![Sample our Education journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5932/TOC-Subject-Sample-2021-Education.jpg"})
Abstract
The estimation of nonlinear structural models is not trivial. One reason for this is that a closed form solution of the likelihood may not be feasible or does not exist. We propose to estimate nonlinear structural models using the efficient method of moments, as generating data according to the models is often very easy. A simulation study of the interaction model of Kenny–Judd shows promising results, for example, the bias of the parameter for the interaction effect is less for the efficient method of moments compared to quasi-maximum likelihood (QML) and characteristic function estimator (CFE) (CitationBlom & Christoffersson 2001) and comparable to latent moderated structural equations (LMS) (CitationSchermelleh-Engel, Klein, & Moosbrugger, 1998).
ACKNOWLEDGMENTS
Financial support from the Bank of Sweden Tercentenary Foundation and the Jan Wallander and Tom Hedelius Foundation, research grant number P2005-0117:1, are gratefully acknowledged. I thank K. G. Jöreskog, Rolf Larsson, Daniel Preve, and seminar participants at Uppsala University as well as the referees for valuable comments.
Notes
1She compared many different estimators but concluded that QML performs the best.