Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5129882 | Statistics & Probability Letters | 2017 | 9 Pages |
Abstract
An approach to studying reciprocal-effects in a cross-sectional data is to apply nonrecursive structural equation models. This article takes a theoretical approach to study the identifiability problem of reciprocal-effect models. Identifiability conditions are presented under a variety of settings.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Mario Nagase, Yutaka Kano,