Growth with Unused Capacity and Endogenous Capital Depreciation

The paper contributes to the debate on growth and distribution in a non‐mainstream perspective. It looks at the role that capacity utilization plays in the process of growth under the hypothesis that the rate of capital depreciation is a function of the degree of capacity utilization. Our hypothesis implies results partly different from those obtained by other models in which capacity utilization plays a key role. In particular, a varying rate of depreciation affects the conditions under which distributional changes in favor of wages affect the rate of growth positively.     

The role of social identification and hedonism in affecting tourist re-patronizing behaviours: The case of an Italian festival

Since the 1990s Europe and other continents have been organising a significantly larger number of festivals with the objective of stimulating tourism and exploiting potential economic opportunities. The prominence of these events has led to intense competition between festivals in attracting visitors and it has become important to analyse factors which might influence attendees’ retention. Drawing on existing literature on retail and service sectors, this study aims to identify the role played by emotions, hedonism, satisfaction, and social identification in mediating the effects of environmental factors on attendees’ re-patronizing intention. This study includes an on-site survey of 449 visitors attending an Italian festival gaining in popularity, and analyses data using a structural equations model. Results suggest that hedonism and social identification are key-facilitators between environmental cues and attendees’ re-patronizing intention.     

New Evidence on the Politics and Economics of Multiparty Cabinets Duration

A Proportional Hazards Specification for cabinet duration data is estimated by mean of a flexible parametric approach. The hazard rate is found to be significantly affected by the majority status, the degree of fragmentation and ideological homogeneity of the coalition, the stability and the polarisation of the legislature and the time horizon at the moment of cabinet formation. Interesting innovative results concern the higher stability of cabinets supported by coalitions ideologically closer to the median party and/or left–oriented. The overall state of the economy also has a role. Graphical evidence suggests that the underlying distribution of duration data might be a Gompertz distribution.     

Combining Opinions for Use in Bayesian Networks: A Measurement Error Approach

Bayesian networks (BNs) are graphical probabilistic models used for reasoning under uncertainty. These models are becoming increasingly popular in a range of fields including engineering, ecology, computational biology, medical diagnosis and forensics. In most of these cases, the BNs are quantified using information from experts or from users' opinions. While this quantification is straightforward for one expert, there is still debate about how to represent opinions from multiple experts in a BN. This paper proposes the use of a measurement error model to achieve this. The proposed model addresses the issues associated with current methods of combining opinions such as the absence of a coherent probability model, the loss of the conditional independence structure of the BN and the provision of only a point estimate for the consensus. The proposed model is applied to a subnetwork (the three final nodes) of a larger BN about wayfinding in airports. It is shown that the approach performs well than do existing methods of combining opinions.     

Reforming the reform: changing roles for accounting and management in the Italian health care sector

This paper examines the ways in which accounting has intervened in the process of reforming the original ‘reform’ of the Italian health care system. By stepping into an ongoing process accounting has been asked not only to foster efficiency, effectiveness and value for money, but to correct as well the ‘degeneration’ of the original reform, which subjected health care delivery to ‘democratic’ scrutiny and political control. The call for a greater accountability in the use of public resources has been thus interpreted as both a mechanism of surveillance and control and a way to resist the ‘over-politicization’ of health sector management together with the abuses, scandals and fraudulent behaviour it induced. In seeking to interpret the specificity of the Italian experience, the paper suggests that the range of ‘the contexts in which accounting operates’ should be broadened in order to gain a deeper understanding of its roles in those institutions, such as health care systems, which play a crucial role in modern societies. In order to move in this direction systematic and empirically grounded cross-national comparisons are called for, since, although accounting and management are involved in virtually all attempts to redesign health care services, consequences are likely to be different when conditions of possibility differ at the outset.     

Is it a Timing or a Probability Effect? Four Simulations and an Application of Transition Rate Models to the Analysis of Unemployment Exit

Among the applications of event history analysis, in the last 10 years the lion's share has been played by proportional transition rate model. This type of models suffers from a major draw-back: it does not allow us to distinguish whether a covariate affects the event timing (the event occurs sooner/later) or the overall probability of the ultimate event occurrence (the chances of occurrence are constantly higher/lower). Thus, a positive/negative effect of a covariate found using a proportional transition rate model might reflect an acceleration/deceleration in the timing of the event and/or a high/low probability of the ultimate event occurrence (Yamaguchi, 1992). This paper shows how this problem can be reformulated in terms of the proportionality/non proportionality of the covariate effects. A twofold solution to disentangle the timing/probability problem is presented: this solution consists of a test of the proportionality of the covariate effects and a computation of the survival function at the end of the time interval studied. Two applications are discussed. The first one is based on four simulated processes. The second is based on an analysis of unemployment exit in Italy, with particular attention being paid to the effects of unemployment benefits. In the conclusion, implications for future applications of event history analysis are discussed.     

More distance,more remittance? Remitting behavior,travel cost,and the size of the informal channel

The rising number of foreign workers in Italy during the last 15 years has led to a conspicuous increase in the amount of remittances sent abroad. In this paper, we examine the determinants of remittance outflows originated in Italy and transferred abroad through registered financial intermediaries. After controlling for a wide set of socioeconomic regressors, we document a strong positive relation between remittances and the cost of travel between Italy and the migrants' respective home countries. We interpret this result as indirect evidence of unrecorded flows, since the relation between remittances and travel cost should be non‐significant unless geographical proximity permits remitters to switch to informal (non‐observable) transmission mechanisms. Moreover, using data on temporal and monetary costs for a subset of bilateral corridors, we also find remittances to be negatively correlated with high transaction costs and low speed of transfer. We rely on this empirical evidence and on a model of migrants' remitting behavior to present new strategies for estimating the size of the informal outflow.