In post-Unification Italy the cyclical movements of the economy largely reflected those in the production of durable goods. The engineering industry has been seen as one that transformed metal into machines: its metal consumption suggests that investment in machinery followed the Kuznets-cycle...

In Italy two censuses were taken in 1911: the usual demographic census, that contains labor-force data, and the first industrial census, that contains employment data. The two yield aggregate figures that are very far apart. The literature directly concerned with estimating industrial employment...

This paper presents the second-generation estimates for the Italian engineering industry in 1911, a year documented both by the customary demographic census, and the first industrial census. The first part of this paper uses the census data to estimate the industry’s value added, sector...

The reconstruction of the historical national accounts for post-Unification Italy is proceeding. The national time series most recently compiled are those for the all-important engineering industry; this paper presents their regional counterparts. The engineering industry is very unevenly...

In the literature the (Italian) engineering industry is seen as one that transformed metal into machines; its time path is inferred from that of its consumption of metal. Newly recovered evidence indicates that far more metal was turned into (traditional) hardware than into (modern) machines....

We propose a flexible stochastic framework for modeling the market share dynamics over time in a multiple markets setting, where firms interact within and between markets. Firms undergo stochastic idiosyncratic shocks, which contract their shares, and compete to consolidate their position by...

The "Gerschenkron effect" refers to the purported biases of early-weighted and late-weighted indices of production. If production is properly measured in what economists mean by "real" terms, the "Gerschenkron effect" does not exist at all.

The study of properties of mean functionals of random probability measures is an important area of research in the theory of Bayesian nonparametric statistics. Many results are known by now for random Dirichlet means but little is known, especially in terms of posterior distributions, for...

A Bayesian nonparametric methodology has been recently proposed in order to deal with the issue of prediction within species sampling problems. Such problems concern the evaluation, conditional on a sample of size n, of the species variety featured by an additional sample of size m. Genomic...

An important issue in survival analysis is the investigation and the modeling of hazard rates. Within a Bayesian nonparametric framework, a natural and popular approach is to model hazard rates as kernel mixtures with respect to a completely random measure. In this paper we provide a...