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  "Title": "Finding Feedback Effects in SEM and Testing for Their\nSignificance",
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  "Description": "Provides two main functionalities. 1 - Given a system of\nsimultaneous equation, it decomposes the matrix of coefficients\nweighting the endogenous variables into three submatrices: one\nincludes the subset of coefficients that have a causal nature\nin the model, two include the subset of coefficients that have\na interdependent nature in the model, either at systematic\nlevel or induced by the correlation between error terms. 2 -\nGiven a decomposed model, it tests for the significance of the\ninterdependent relationships acting in the system, via Maximum\nlikelihood and Wald test, which can be built starting from the\nfunction output. For theoretical reference see Faliva (1992)\n<doi:10.1007/BF02589085> and Faliva and Zoia (1994)\n<doi:10.1007/BF02589041>.",
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