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This paper makes the case for close and approximate replications of Erlam (2005) and a conceptual replication of Roehr-Brackin & Tellier (2019). The two studies recommended for replication are informed by research on explicit and implicit knowledge, ...

It is received wisdom in variationist sociolinguistics that linguistic and social factors go hand in hand in structuring variability in language and any consequent instances of language change. We address the complexity of such factors by exploring ...

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 ...

Previous research suggests that client politics shape national migration laws in that they converge towards more liberal regulations. An examination of recently released cross-country data suggests, however, that there is little support for either ...

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) data ...

In this paper, we present a novel approach for forecasting Value-at-Risk (VaR) by combining a Bayesian GARCH(1,1) model with Student's-t distribution for the underlying volatility models, vine copula functions to model dependence, and ...

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 ...