In this article we examine how model selection in neural networks can be guided by statistical procedures such as hypotheses tests, information criteria and cross validation. The application of these methods in neural network models is discussed, paying attention especially to the identification...

This research report offers a comparative analysis of privacy and data protection in Germany and India. It compares the two regimes on four counts. First, it examines how the right to privacy and/or its allied rights have developed in the two countries historically. In this, it explores the...

The EU General Data Protection Regulation (GDPR) of 2018 introduced stringent transparency rules compelling firms to disclose, in accessible language, details of their data collection, processing, and use. The specifics of the disclosure requirement are objective, and its compliance is easily...

We study markets for sensitive personal information. An agent wants to communicate with another party but any revealed information can be intercepted and sold to a third party whose reaction harms the agent. The market for information induces an adverse sorting effect, allocating the information...

We introduce consumers with intrinsic privacy preferences into the monopolistic non-linear pricing model. Next to classical consumers, there is a share of data-sensitive consumers who incur a privacy cost if their purchase reveals information to the monopolist. The monopolist discriminates...

This paper analyzes consumers' privacy choice concerning their private data and firms' ensuing pricing strategy. The General Data Protection Regulation passed by the European Union in May 2018 allows consumers to decide whether to reveal private information in the form of cookies to an online...