Pension taxation has large budgetary and distributional effects, in particular in the light of ageing societies and the importance of pension benefits in old-age income. This paper investigates the impact of taxing public and mandatory occupational old-age pensions in the EU, focusing on both...

The United States is at a crossroads in its policies towards the family and gender equality. Currently America provides basic support for children, fathers, and mothers in the form of unpaid parental leave, child-related tax breaks, and limited public childcare. Alternatively, the United...

The role of the housing market in the everyday life of society is difficult to overestimate. The housing rents and prices directly affect standard of living of virtually every person. Housing loans constitute the largest liability of households and account for a large proportion of bank lending....

This study develops an easy forecasting model using prefectural data in Japan. The Markov chain known as a stochastic model corresponds to the vector auto-regressive (VAR) model of the first order. If the transition probability matrix can be appropriately estimated, the forecasting model using...

The paper presents a foresight analysis methodology and its empirical application in the context of housing market. This work was developed in the context of a wider research project, "Drivers Of housiNg demand in Portuguese Urban sysTem" - DONUT, which analyses the Portuguese housing market....

This paper compares the short-term forecasting performance of state-of-the-art large-scale dynamic factor models (DFMs) and the small-scale bridge models routinely used at the OECD. Pseudo-real time out-of-sample forecasts for France, Germany, Italy, Japan, United Kingdom and the United States...

This paper evaluates different models for the short-term forecasting of real GDP growth in ten selected European countries and the euro area as a whole. Purely quarterly models are compared with models designed to exploit early releases of monthly indicators for the nowcast and forecast of...

We assess the usefulness of a large set of electronic payments data comprising debit and credit card transactions, as well as cheques that clear through the banking system, as potential indicators of current GDP growth. These variables capture a broad range of spending activity and are available...

Forecasting regional variables provides very important information for political, institutional and economic agents. However, in the present context characterized by important decline of economies, heterogeneous data and regional interdependencies, it is even more difficult to carry out accurate...

The present paper develops Adaptive Trees, a new machine learning approach specifically designed for economic forecasting. Economic forecasting is made difficult by economic complexity, which implies non-linearities (multiple interactions and discontinuities) and unknown structural changes (the...