Identifiability of nonrecursive structural equation models

Mario Nagase and Yutaka Kano

Statistics & Probability Letters, 2017, vol. 122, issue C, 109-117

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.

Keywords: Structural equation models; Nonrecursive; Identification; Spatial autocorrelation (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.spl.2016.11.010

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