International corporate tax is an important source of government revenue, especially in lower-income countries. An important recent study of the scale of this problem was carried out by International Monetary Fund researchers Ernesto Crivelli, Ruud De Mooij, and Michael Keen. We first...

In this paper we use the new Government Revenue Dataset to analyse fiscal decentralization. We find that developed countries are on average more decentralized than developing countries and that Asia, Europe and North America are among the most fiscally decentralized regions. In our econometric...

Progressive direct taxation is necessary to complement social protection, in order to reduce income inequality as well as poverty. A new metric of personal income tax incidence progressivity (the "Plato Index") is presented, using WIDER databases for income inequality (WIID) and tax revenues...

Illicit financial flows (IFFs) threaten countries' ability to achieve the Sustainable Development Goals (SDGs). Progressing on the IFFs target is thus crucial, as is the ability to measure achieved progress. In this paper we explore how to best statistically measure tax avoidance by...

Despite a Sustainable Development Goals target to reduce trade mispricing and other illicit financial flows, it is not clear how to measure trade mispricing over time for countries worldwide. We aim to combine a broad coverage of countries by using UN Comtrade data and robustness by developing a...

We exploit the new multinational corporations' country-by-country reporting datawith unparalleled country coverage to study profit shifting to tax havens. We showthat a logarithmic function is preferable to linear and quadratic ones for modelling the extremely non-linear relationship between...

We exploit the new country-by-country reporting data of multinational corporations, with unparalleled country coverage, to reveal the distributional consequences of profit shifting. We estimate that multinational corporations worldwide shifted over $ 850 billion in profits in 2017, primarily to...