Focused model selection for social networks

Eugen Pircalabelu and Gerda Claeskens

No 534462, Working Papers of Department of Decision Sciences and Information Management, Leuven from KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven

Abstract: We present a focused selection method for social networks. The procedure is driven by a focus, the main quantity we want to estimate well. It represents the statistical translation of a research hypothesis into parameters of interest. Given a collection of models, the procedure estimates for each model the mean squared error of the estimator of the focus. The model with the smallest such value is selected. We present focused model selection for (i) exponential random graph models, (ii) network autocorrelation models and (iii) network regression models to investigate existing relations in social networks. Worked-out examples illustrate the methodology.

Keywords: Variable selection; Social network; Focused information criterion; Exponential random graphs; Network based models (search for similar items in EconPapers)
Date: 2016-03
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Published in FEB Research Report KBI_1607

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Persistent link: https://EconPapers.repec.org/RePEc:ete:kbiper:534462

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