The Routledge Handbook of Taxation and Philanthropy

The Routledge Handbook of Taxation and Philanthropy ventures into a territory that is still widely unexplored. It contains 30 academic contributions that aim to provide a better understanding of whether, why, and how philanthropic initiatives, understood as voluntary contributions for the common good, can and should be fostered by states through tax incentives. The topic has been addressed from a multidisciplinary and multicultural perspective – covering neuroeconomics, sociology, political science, psychology, affective sciences, philosophy, behavioral economy, and law – because of its global and multifaceted nature. It also contains the OECD report on Taxation and Philanthropy released in November 2020, which was prepared in this context as a result of a collaboration with the Geneva Centre for Philanthropy of the University of Geneva. The book is divided into four sections, exploring, respectively, the justification of tax incentives for philanthropy, theoretical and empirical insights about taxes, efficiency and donor behavior in that context, and tax incentives for cross-border philanthropy and for hybrid entities and social entrepreneurship. It is believed that this volume will be a landmark yet only the beginning of a journey in which a lot remains to be studied, learned, and said

The Routledge Handbook of Taxation and Philanthropy

The Routledge Handbook of Taxation and Philanthropy ventures into a territory that is still widely unexplored. It contains 30 academic contributions that aim to provide a better understanding of whether, why, and how philanthropic initiatives, understood as voluntary contributions for the common good, can and should be fostered by states through tax incentives. The topic has been addressed from a multidisciplinary and multicultural perspective – covering neuroeconomics, sociology, political science, psychology, affective sciences, philosophy, behavioral economy, and law – because of its global and multifaceted nature. It also contains the OECD report on Taxation and Philanthropy released in November 2020, which was prepared in this context as a result of a collaboration with the Geneva Centre for Philanthropy of the University of Geneva. The book is divided into four sections, exploring, respectively, the justification of tax incentives for philanthropy, theoretical and empirical insights about taxes, efficiency and donor behavior in that context, and tax incentives for cross-border philanthropy and for hybrid entities and social entrepreneurship. It is believed that this volume will be a landmark yet only the beginning of a journey in which a lot remains to be studied, learned, and said

How to Achieve Inclusive Growth

Rising inequality and widespread poverty, social unrest and polarization, gender and ethnic disparities, declining social mobility, economic fragility, unbalanced growth due to technology and globalization, and existential danger from climate change are urgent global concerns of our day. These issues are intertwined. They therefore require a holistic framework to examine their interplay and bring the various strands together. This book brings together leading academic economists and experts from several international institutions to explain the sources and scale of these challenges. The book summarizes a wide array of empirical evidence and country experiences, lays out practical policy solutions, and devises a comprehensive and unified plan of action for combatting these economic and social disparities. This authoritative book is accessible to policy makers, students, and the general public interested in how to craft a brighter future by building a sustainable, green, and inclusive society in the years ahead

How to Achieve Inclusive Growth

Rising inequality and widespread poverty, social unrest and polarization, gender and ethnic disparities, declining social mobility, economic fragility, unbalanced growth due to technology and globalization, and existential danger from climate change are urgent global concerns of our day. These issues are intertwined. They therefore require a holistic framework to examine their interplay and bring the various strands together. This book brings together leading academic economists and experts from several international institutions to explain the sources and scale of these challenges. The book summarizes a wide array of empirical evidence and country experiences, lays out practical policy solutions, and devises a comprehensive and unified plan of action for combatting these economic and social disparities. This authoritative book is accessible to policy makers, students, and the general public interested in how to craft a brighter future by building a sustainable, green, and inclusive society in the years ahead

A Statistical Approach to the Alignment of fMRI Data

Multi-subject functional Magnetic Resonance Image studies are critical. The anatomical and functional structure varies across subjects, so the image alignment is necessary. We define a probabilistic model to describe functional alignment. Imposing a prior distribution, as the matrix Fisher Von Mises distribution, of the orthogonal transformation parameter, the anatomical information is embedded in the estimation of the parameters, i.e., penalizing the combination of spatially distant voxels. Real applications show an improvement in the classification and interpretability of the results compared to various functional alignment methods

A comparison of the CAR and DAGAR spatial random effects models with an application to diabetics rate estimation in Belgium

When hierarchically modelling an epidemiological phenomenon on a finite collection of sites in space, one must always take a latent spatial effect into account in order to capture the correlation structure that links the phenomenon to the territory. In this work, we compare two autoregressive spatial models that can be used for this purpose: the classical CAR model and the more recent DAGAR model. Differently from the former, the latter has a desirable property: its ρ parameter can be naturally interpreted as the average neighbor pair correlation and, in addition, this parameter can be directly estimated when the effect is modelled using a DAGAR rather than a CAR structure. As an application, we model the diabetics rate in Belgium in 2014 and show the adequacy of these models in predicting the response variable when no covariates are available