This study computes estimates of tax compliance in selected European countries for value added tax, excise tax, personal income tax and social security contributions, using national accounts data together with data on official tax structures and revenues. These estimates are then analysed to...

This paper analyses the relationships between various measures of income inequality and variables describing population health and social outcomes at the regional level in the EU. Differences between the Central and East European new EU Member States (NMS) and non-NMS EU countries are...

Evidence for 17 OECD Countries over 1978-2013 Using an annual data set covering 17 OECD countries over the time period 1978-2013, this paper analyses the dynamic effects of fiscal consolidation episodes on income inequality in the short and medium run. By estimating impulse response functions...

A large volume of econometric literature has studied the impact of economic globalisation on income inequality around the world. However, reported econometric estimates vary substantially which makes it difficult to draw valid conclusions. This paper presents a quantitative summary and analysis...

This paper examines the impact of income inequality on consumption-related household indebtedness at the household level. Using the first wave of the Eurosystem Household Finance and Consumption Survey data, the analysis sheds light on heterogeneous effects across euro area countries. The...

This paper constructs distributional national accounts for Austria for the period 2004-2016. We enrich survey data with tabulated tax data and make it fully consistent with national accounts data. The comprehensive dataset allows us to analyse the distribution of macroeconomic growth across the...

The paper builds Distributional National Accounts (DINA) using household survey data. We present a transparent and reproducible methodology to construct DINA whenever administrative tax data are not available for research and apply it to various European countries. By doing so, we build...

We study the distributional consequences of COVID-19 by using a stock-flow consistent agent-based model that captures some of the aspects of pandemic-related lockdowns. In particular, the model distinguishes between "essential" and "non-essential" industries, between jobs that can be done from...