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Evaluating utility in synthetic banking microdata applications

Financial regulators such as central banks collect vast amounts of data, but access to the resulting fine-grained banking microdata is severely restricted by banking secrecy laws. Recent developments have resulted in mechanisms that generate faithful

Externí odkaz: http://arxiv.org/abs/2410.22519

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ClustEm4Ano: Clustering Text Embeddings of Nominal Textual Attributes for Microdata Anonymization

Autor: Aufschläger, Robert, Wilhelm, Sebastian, Heigl, Michael, Schramm, Martin

This work introduces ClustEm4Ano, an anonymization pipeline that can be used for generalization and suppression-based anonymization of nominal textual tabular data. It automatically generates value generalization hierarchies (VGHs) that, in turn, can

Externí odkaz: http://arxiv.org/abs/2412.12649

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Valid Inference on Functions of Causal Effects in the Absence of Microdata

Autor: Vohra, Vedant

Economists are often interested in functions of multiple causal effects, a leading example of which is evaluating the cost-effectiveness of a government policy. In such settings, the benefits and costs might be captured by multiple causal effects and

Externí odkaz: http://arxiv.org/abs/2410.00217

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