Students’ opinions on teaching and services provided by the Italian Universities: a proposal for a new evaluation scheme

Quality & Quantity - In Italy, the evaluation of the internal effectiveness of academic training courses has been substantiated, for over 20 years, in periodical surveys on...     

Labour disputes,investment decisions and the judiciary

In this article, we show that the presence of the judiciary in the background of labour relationships is not neutral within these relations: its potential intervention in case of an ex-post layoff and conflict over the severance payment can promote ex-ante efficient specific investment decisions. This ability to promote efficiency depends on the judiciary's aptitude to balance out the parties' ex-post bargaining powers. Interestingly one of the results shows that, if workers' bargaining power in wage negotiations is low, which implies that they expect low returns from continuing the relationships, an increase in the exogenous layoff probability should lead judges to be less lenient towards them.     

Computer assisted text analysis in the social sciences

We use the term “Computer Assisted Text Analysis” in a broad sense to refer to a range of current techniques from quantitative social science and content analysis to ‘data mining’ and ‘text classification’, including the analysis of open-ended survey questions, transcribed interviews and speeches, wherever, in fact, the researcher is confronted with data in the form of natural language texts of social scientific interest. These methods are often used in exploratory data analysis, but can also be applied systematically with moderate statistical rigour in the development and testing of hypotheses at various theoretical levels, ranging from the statistics of word usage to changes within or between discourses over time. The general approach is in the tradition of content analysis, by which words which occur together in relatively close proximity in the same context are interpreted as relating to a common theme or concept in the discourse studied. We review a comprehensive set of tools to identify and visualize structures of co-occurrence of words and concepts both within, and in comparing, a number of texts. These produce results not essentially different from those reached by representing word co-occurrences in terms of network analysis or neural network programming using schematic linguistic templates of various kinds. A comparison of the relational data analysis vs. a dictionary-based MDS approach shows that these provide very close if not identical results, despite the fact that the underlying assumptions are frequently represented as different theoretical approaches.     

An Alternative Post-Keynesian Framework for Understanding Capital Flows to Emerging Markets

This article contributes to the establishment of a framework for the analysis of international capital flows, with a specific focus on emerging markets. It is based on a “monetary” analysis of the economy, as well as on the works of Hyman Minsky and Jan Toporowski in particular. The key aspects of such an approach are the following. First, in a monetary economy, capital flows need to be understood as “flows of funds” that pertain to the realm of financial choices, as opposed to the traditional understanding of capital flows as based on “real” variables, such as saving and investment. A consequence of this is the need to focus on gross flows rather than capital flows. Second, liquidity preference considerations also apply at the international level, particularly in relation to the liquidity of emerging-market currencies that, in turn, depends on context-specific “Keynesian fundamentals.” Third, the rise of institutional investors is the key historical development in the financial system, shaping the current reality of cross-border capital flows, including to emerging markets. I argue that institutional investors’ liabilities, in light of the theories of Minsky and Toporowski, are one of the most important variables in determining these investors’ portfolio choices. I synthesize these elements by defining capital flows to emerging markets as the demand for emerging-market assets by institutional investors. I propose a framework to categorize the various channels that guide this demand.     

Understanding Configuration and Transformation through a Multiple Rationalities Approach

Why are some transformational change attempts implemented while others are rejected? This study suggests that patterns of underlying multiple rationalities commitments help to explain. Data from four periods of configuration and 11 transformational change attempts spanning a 40-year organizational history are analysed using a multiple rationalities framework. The findings suggest that transformational change attempts are ubiquitous, that transformational changes are more likely to be implemented if supported primarily by value-based rationality, and that organizational members' support for an incumbent configuration increases over time. The conclusion calls for a reconceptualization of configuration, and the inclusion of rejected change attempts in future studies of change and stability.     

Well-being and war

Happiness research has dealt with a great number of determinants of well-being but has neglected the effect of war. Wars drastically reduce people??s happiness. The large psychic costs of soldiers, the suffering of civilians, and the material destruction are well documented. An important issue for happiness research is how to calculate the forgone well-being of the people killed in war. Wars may also increase happiness by providing shared experiences, raising national pride, and ??ennobling?? people. ??Combat flow?? increases an individual soldier??s subjective happiness. Deep issues are elicited regarding what type of happiness is legitimate.     

Job protection,housing market regulation,and the youth

Young Europeans experience high unemployment rates, job instability, and late emancipation. Meanwhile, they do not support reforms weakening protection on long‐term contracts. In this paper, we suggest a possible rationale for such reform distaste. When the rental market is strongly regulated, landlords screen applicants with regard to their ability to pay the rent. Protecting regular jobs offers a second‐best technology to sort workers, thereby increasing the rental market size. We provide a model where nonemployed workers demand protected jobs despite unemployment and the share of short‐term jobs increases, whereas the individual risk of dismissal is unaffected. Our theory can be extended to alternative risks and markets involving correlated risks and commitment under imperfect information.     

Optimal production of transplant care services

Most organ transplants are from dead donors. National transplant organizations exhibit considerable differences in terms of their donor population rates. Spain's organization is by far the most efficient in this respect. We argue that much of the productivity advantage of Spain's transplant organization proceeds from an efficient organization of the production chain, from organ procurement to transplantation. Transplants from dead donors are analogous to a common resource for the transplant community. Their circulation through the national transplant organization creates public good externalities between the care units in charge of organ retrieval and those in charge of transplantation. A socially efficient production of transplant care services obtains through an optimal control, by the national transplant agency, of both the circulation and the production of transplants. In particular, transplant shortage makes the rotten kid theorem fail in this context. The analysis also produces a natural measure of public good externalities, evaluated from the standpoint of care units.