PUBLIC EDUCATION AND PENSIONS IN DEMOCRACY: A POLITICAL ECONOMY THEORY

A dynamic political economy theory of fiscal policy is presented to explain the simultaneous existence of public education and pensions in modern democracies. The driving force of the model is the intergenerational conflict over the allocation of the public budget. Successive generations of voters choose fiscal policies through repeated elections. The political power of elderly voters creates the motive for adults to support public investment in the human capital of future generations since it expands future pension possibilities. We characterize the Markov perfect equilibrium of the voting game in a small open economy. The equilibrium reproduces salient features of intergenerational fiscal policies in modern economies.     

Combined Density Nowcasting in an Uncertain Economic Environment

We introduce a combined density nowcasting (CDN) approach to dynamic factor models (DFM) that in a coherent way accounts for time-varying uncertainty of several model and data features to provide more accurate and complete density nowcasts. The combination weights are latent random variables that depend on past nowcasting performance and other learning mechanisms. The combined density scheme is incorporated in a Bayesian sequential Monte Carlo method which rebalances the set of nowcasted densities in each period using updated information on the time-varying weights. Experiments with simulated data show that CDN works particularly well in a situation of early data releases with relatively large data uncertainty and model incompleteness. Empirical results, based on U.S. real-time data of 120 monthly variables, indicate that CDN gives more accurate density nowcasts of U.S. GDP growth than a model selection strategy and other combination strategies throughout the quarter with relatively large gains for the two first months of the quarter. CDN also provides informative signals on model incompleteness during recent recessions. Focusing on the tails, CDN delivers probabilities of negative growth, that provide good signals for calling recessions and ending economic slumps in real time.     

Hierarchical clustering and matrix completion for the reconstruction of world input–output tables

Multi-regional input–output (I/O) matrices provide the networks of within- and cross-country economic relations. In the context of I/O analysis, the methodology adopted by national statistical offices in data collection raises the issue of obtaining reliable data in a timely fashion and it makes the reconstruction of (parts of) the I/O matrices of particular interest. In this work, we propose a method combining hierarchical clustering and matrix completion with a LASSO-like nuclear norm penalty, to predict missing entries of a partially unknown I/O matrix. Through analyses based on both real-world and synthetic I/O matrices, we study the effectiveness of the proposed method to predict missing values from both previous years data and current data related to countries similar to the one for which current data are obscured. To show the usefulness of our method, an application based on World Input–Output Database (WIOD) tables—which are an example of industry-by-industry I/O tables—is provided. Strong similarities in structure between WIOD and other I/O tables are also found, which make the proposed approach easily generalizable to them.

     

Emigration and Immigration in Italy: Recent Trends

ABSTRACT: During the eighties Italy has evolved into being a receiver of immigration. However, the existence of large Italian communities abroad, and the persistence of exit migratory flows (although amply compensated by re-entry flows) show that the connotation of Italy as a country of emigration still persists. This paper points out the differing composition of present immigration flows to Italy compared to those of Italian migratory flows towards the more industrially advanced European countries over the past decades. The labour forces that constitute these present day immigration flows often possess medium to high educational qualifications, and are more frequently absorbed into the tertiary and agricultural markets, rather than the industrial sector. These immigrants rarely have regular, unionized occupations, and satisfy a demand for precarious, unstable labour which is in expansion in Italy, as in other countries. Furthermore, these immigration flows are directed not only towards those regions with high employment rates, but also to those with high unemployment rates. Thus, the implications are that the character of present day emigration can only be clearly understood by taking into account the highly segmented aspect of the labour market.