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)     

“Social Freedom” in the Twenty-First Century: Rereading Polanyi

Karl Polanyi’s analysis of the genesis, crises, and institutional transformations of contemporary society is grounded on a theory of the basic features and dynamics of capitalism as a peculiar form of society. This article intends to develop this thesis on the basis of a reading of Polanyi’s The Great Transformation, with references to Polanyi’s preceding and later research. Polanyi’s theoretical and methodological achievements suggest a wide comparative outlook and offer a critique of economics, in addition to being deeply connected with his political philosophy. Polanyi’s approach seems to be nearer to the original institutional thought — from Karl Marx to Thorstein Veblen, from Max Weber to Adolf Löwe and Karl William Kapp — than to current neo-institutional tendencies in economics, sociology, and historiography. The hard problems society presently faces suggest the need to adhere to Polanyi’s radical point of view — that is, to a radical approach to Polanyi’s thought.     

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...     

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.     

Unit nonresponse errors in income surveys: a case study

A survey on the economic and social conditions of households in the city of Modena was carried out in 2002 and in 2006 (two waves) by the CAPP (Centre for Analyses of Public Policies). In the first wave of 2002, each designated sampling unit (i.e., the family) had three units as reserves. If the first refused to be interviewed, the interviewer contacted the three reserves, one after the other, until obtaining either one respondent or four non-participant units. At the end of the survey four categories of units were distinguished: interviewees, refusals, noncontacts, and unused reserves. All units were matched with their corresponding record in the databases of the Ministry of Finance of 2002 and the Census of 2001. The resulting data set permitted the analysis of unit or total nonresponses. The distribution of fiscal income showed different shapes for the four categories, implying a selective participation of the families. The interviewees yielded a positive bias of about 600?, holding constant other factors. The selection of the significant factors affecting nonresponse was performed via backward elimination in a logit model and with the lasso method. Participation increased as fiscal income and age increased and by education level (secondary school and university degree), while it decreased among entrepreneurs, independent workers, managers, and medium-to-low skilled workers.     

Dynamic Tax Evasion with Habit Formation in Consumption*

We model the optimal intertemporal decision of an agent who chooses tax evasion and consumption, over an infinite lifetime horizon, where consumption is driven by habits. We find the following: (i) tax evaders reduce consumption in the early stages of habit accumulation and increase it over time; (ii) habit formation has a dampening effect on tax evasion; (iii) neglecting tax evasion can lead to habit overestimation; (iv) the effect of the tax rate on tax evasion is ambiguous; (v) heavy fines are more efficient than frequent controls in reducing tax evasion.     

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.