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Prominent current policy problems such as climate change, migration, or the financial crisis embrace a multitude of issues that are tackled within single or multiple policy subsystems. However, interdependencies among actors that arise due to their ...

We consider estimation and inference in fractionally integrated time series models driven by shocks which can display conditional and unconditional heteroskedasticity of unknown form. Although the standard conditional sum-of-squares (CSS) estimator ...

In this paper we provide a general mathematical framework for distributional trans-forms, which allows for many examples that are used extensively in the literature of finance, economics and optimization. We put a special focus on the class of ...

This paper focuses on the impact of financial fragmentation on small and medium enterprises (SMEs)’ access to finance. We combine country-level data on financial fragmentation and the ECB’s SAFE (Survey on the Access to Finance of Enterprises) ...

Attention models are proposed in sentiment analysis and other classification tasks because some words are more important than others to train the attention models. However, most existing methods either use local context based information, affective ...

Background Aphasia negatively impacts face-to-face social participation and the difficulties that people experience using the phone exacerbate these challenges in staying in touch with family and friends. Videoconferencing enables multimodal ...

Corporate social responsibility (CSR) research has mainly focused on understanding the antecedents and outcomes of CSR adoption. Yet, little is known about the organisational process of ‘CSR engagement’ and how this would affect organisational ...

Finding meaningful clusters in drive-by-download malware data is a particularly difficult task. Malware data tends to contain overlapping clusters with wide variations of cardinality. This happens because there can be considerable similarity between ...

Deep convoloutional networks have achieved remarkable performance in a wide range of vision-based tasks in modern internet of things (IoT). Due to privacy issue and transmission cost, mannually annotated data for training the deep learning models ...

We develop new theory pertaining to institutional determinants of renewable-energy usage across countries and over time. Building on key strands of the comparative capitalisms literature, we introduce new hypotheses relating to the 2009 Directive ...