Aging is an unstoppable process and it remains a major challenge for the sustainability of the PAYG pension system in most developed countries, including in Spain. Many countries need to introduce reforms of their pension systems in order to control their expenditure, and in some cases this has...

This paper simulates the future performance of the Spanish pension system using a large OLG model. We compare the system in place after the 2011 pension reform to that emerging after the latest (2013) institutional changes. In particular, we explore the workings of the new indexing mechanism,...

In this paper we study the quantitative properties of a policy reform aimed at funding the pension system in the standard model economy with perfect substitution across workers with different experience levels and a model economy where this substitutability is imperfect. With compulsory...

Sovereign external assets (SEAs) comprise foreign exchange reserves and sovereign wealth funds (SWFs). The global stock of reserves reached 7 $trn in the second quarter of 2008, but data on SWF are rather elusive. Our estimation puts the SWFs at around 2,5 $trn dollars by 2007 and in the last...

We examine the finite-sample performance of small versus large scale dynamic factor models. Our Monte Carlo analysis reveals that small scale factor models out-perform large scale models in factor estimation and forecasting for high levels of cross-correlation across the idiosyncratic errors of...

In this paper we propose a new real-time forecasting model for euro area GDP growth, D€STINY, which attempts to bridge the existing gap in the literature between large- and small-scale dynamic factor models. By adopting a disaggregated modelling approach, D€STINY uses most of the information...

Practitioners do not always use research findings, as the research is not always conducted in a manner relevant to real-world practice. This survey seeks to close the gap between research and practice in respect of short-term forecasting in real time. To this end, we review the most relevant...

We develop a twofold analysis of how the information provided by several economic indicators can be used in Markov-switching dynamic factor models to identify the business cycle turning points. First, we compare the performance of a fully non-linear multivariate specification (one-step approach)...

We show that the single-index dynamic factor model developed by Aruoba and Diebold (Am Econ Rev, 100:20-24, 2010) to construct an index of US business cycle conditions is also very useful for forecasting US GDP growth in real time. In addition, we adapt the model to include survey data and...

We propose a Markov-switching dynamic factor model to construct an index of global business cycle conditions, for performing short-term forecasts of quarterly world GDP growth in real time and computing real-time business cycle probabilities. To overcome the real-time forecasting challenges, the...