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Identifiability of nonrecursive structural equation models

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  • Nagase, Mario
  • Kano, Yutaka

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.

Suggested Citation

  • Nagase, Mario & Kano, Yutaka, 2017. "Identifiability of nonrecursive structural equation models," Statistics & Probability Letters, Elsevier, vol. 122(C), pages 109-117.
    • Handle: RePEc:eee:stapro:v:122:y:2017:i:c:p:109-117
    DOI: 10.1016/j.spl.2016.11.010
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    References listed on IDEAS

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    1. Luisa Corrado & Bernard Fingleton, 2012. "Where Is The Economics In Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 210-239, May.
    2. Blaine Robbins, 2012. "Institutional Quality and Generalized Trust: A Nonrecursive Causal Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 107(2), pages 235-258, June.
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    Cited by:

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    2. Swoboda, Bernhard & Winters, Amelie, 2021. "Reciprocity within major retail purchase channels and their effects on overall, offline and online loyalty," Journal of Business Research, Elsevier, vol. 125(C), pages 279-294.

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