Welfare migration in Europe

The enlargement of the European Union has increased concerns about the role of generous welfare transfers in attracting migrants. This paper explores the issue of welfare migration across the countries of the pre-enlargement European Union and finds a significant but small effect of the generosity of welfare on migration decisions. This effect, however, is still large enough to distort the distribution of migration flows and, possibly, offset the potential benefits of migration as an inflow of mobile labour into countries with traditionally immobile native workers.     

How useful are signals? A micro-structure analysis

We analyze how the market processes a signaling event by studying a sample of self-tender offers, events often viewed as signals of firm value. By examining changes in the degree of informed trading, we find asymmetric information costs fall at announcement, remain low throughout the event, and increase at offer expiration. By one month following expiration, informed trading returns to a level not significantly different from that prior to the offer. Higher risk firms have significantly larger declines in information asymmetry during the offer. Increases in information asymmetry persist one month following expiration for firms with lower pre-offer informed trading. (JEL G14, G32)     

Machine learning,artificial neural networks and social research

Quality & Quantity - Machine learning (ML), and particularly algorithms based on artificial neural networks (ANNs), constitute a field of research lying at the intersection of different...     

The Repeated Prisoner's Dilemma with Imperfect Private Monitoring

In this paper, I study a repeated Prisoner's Dilemma game in which monitoring is private and imperfect. A partial folk theorem is proved for the case of almost perfect monitoring.     

Product design strategies in technological shifts: An explorative study of Italian design-driven companies

This article analyzes the relationship between technological shift and product design strategies in the Italian lighting industry, where design players have experienced a discontinuous technological shift due to the introduction of LED (Light Emitting Diode) technology.     

Allocation of public funds to R&;D: a portfolio choice-styled decision model and a biotechnology case study

A decision problem—allocating public research and development (R&D) funding—is faced by a planner who has ambiguous knowledge of welfare effects of the various research areas. We model this as a reverse portfolio choice problem faced by a Bayesian decision-maker. Two elements of the planner’s inferential system are developed: a conditional distribution of welfare ‘returns’ on an allocation, given stated preferences of citizens for the different areas, and a minimum risk criterion for re-allocating these funds, given the performance of a status quo level of funding. A case study of Canadian public research funds expended on various applications of agricultural biotechnology is provided. The decision-making methodology can accommodate a variety of collective expenditure and resource allocation problems.     

Which projects are selected for an innovation subsidy? The Portuguese case

Portuguese Economic Journal - Several empirical studies have analyzed which firm characteristics influence government evaluators in the decision to select specific firms to participate in Research...     

Boosting the spread of new technologies: an integrative propositional analysis of diffusion policies

ABSTRACT

Although many studies have recognised the importance of defining specific public policies to encourage technology diffusion, many authors fail to provide a clear view about either the policies that affect the diffusion of technologies or the effect of the different political instruments. Adopting a content analysis of papers that directly or indirectly refer to the diffusion of a new technology, this study applies the integrative propositional analysis (IPA) methodology to: (a) identify the repertoire of the different diffusion policies identified by previous studies; (b) classify these policies according to the type of instruments that they use; (c) analyse the impact of each policy on the different adoption factors that may inhibit or foster the diffusion of a new technology; and (d) evaluate the scope of each type of policy in terms of the number of affected adoption factors.