Estimating the Size of Street-Dwelling Populations Using Mark-Resighting Counts

Mark-resighting constitutes an advanced technology for estimating animal abundance. Joint hypergeometric maximum likelihood, Minta-Mangel and Bowden estimators are usually adopted with mark-resighting data. In presence of any tendency of animals to aggregate into groups, the Bowden estimator is the sole reliable method, providing that marks are quite evenly distributed among groups. In some cetacean surveys, marking disturbances are avoided through natural marking. Natural marking with Bowden criterion is used to estimate the abundance of street-dwelling populations. The marked individuals are persons identified and recorded in the initial part of the survey and recognizable in subsequent occasions. A simulation helps determine the performance of the Bowden estimator under a wide set of situations, taking into account key features of street-dwelling populations. When marked individuals are evenly distributed among groups, the strategy is efficient.     

A reflected feature space for CART

We present an algorithm for learning oblique decision trees, called HHCART(G). Our decision tree combines learning concepts from two classification trees, HHCART and Geometric Decision Tree (GDT). HHCART(G) is a simplified HHCART algorithm that uses linear structure in the training examples, captured by a modified GDT angle bisector, to define splitting directions. At each node, we reflect the training examples with respect to the modified angle bisector to align this linear structure with the coordinate axes. Searching axis parallel splits in this reflected feature space provides an efficient and effective way of finding oblique splits in the original feature space. Our method is much simpler than HHCART because it only considers one reflected feature space for node splitting. HHCART considers multiple reflected feature spaces for node splitting making it more computationally intensive to build. Experimental results show that HHCART(G) is an effective classifier, producing compact trees with similar or better results than several other decision trees, including GDT and HHCART trees.     

Use of Poset Theory with Big Datasets: A New Proposal Applied to the Analysis of Life Satisfaction in Italy

The aim of this work is to propose a tool for measuring a complex concept, and to apply it to big sets of data measured on ordinal and/or dichotomous scales. An important field of application are subjective data, that are often based on opinions or personal evaluations. Many national and international surveys employ this kind of data, measured among thousand of individuals. Thanks to the use of the “average rank” as a synthetic measure of a complex concept, we believe that poset theory could be a very useful approach for dealing with ordinal data avoiding the use of scaling procedures. Because classic poset approaches are at their best when applied to few data at a time, our idea is based on a procedure for sampling units from a big population using a simple criterion to summarize the resulting values appropriately. Applying the central limit theorem enables a comparison of the results obtained from different groups using statistical tests on the means. We used our Height of Groups by Sampling (HOGS) method to compare the average rank among groups that are defined by one or more socio-demographic variables influencing the level of the complex concept we wish to measure. The application of the HOGS procedure to life satisfaction in Italy generated convincing results, revealing significant differences between regions, genders and levels of formal education. We compared the results given by HOGS with the non linear principal component analysis and obtain an easy readable output with convincing precision and accuracy; we are confident that the HOGS procedure can be applied to many other concepts investigated in the social sciences.     

Firm internationalization and performance: Evidence for designing policies

The debate on the relationship between internationalization and performance is still open and is a hot topic for policymakers, but they ignore the impacts for most of the firms supported. The paper is based on a large database of seven years that considers quantitative-qualitative and control variables. To reduce industry and country heterogeneity we focused on the Italian automotive supply chain. We tested 5 modes of internationalization on firms’ profitability so to support the design of policies. Our results are partially in contrast with literature; therefore we identify specific environments where policies, namely for exporting, could be more effective.     

External audit and goodwill write-off

Building on agency theory, we investigate whether and how salient external auditor characteristics (size, audit fees, non-audit fees, tenure) impact on the reported goodwill write-off. We use a sample of US firms applying SFAS 142. We find that Big-4 auditors are more prone to limit underestimated write-offs rather than overestimated write-offs and that auditors require higher fees from companies underestimating the write-offs. The findings are consistent with the auditors’ preference for more conservative goodwill and earnings values, which reduce their litigation and reputation costs. This preference can converge with the managerial interest to use unnecessary overestimated goodwill write-offs for earnings management purposes (e.g. to smooth the income or take big baths). Our findings do not support the hypotheses that non-audit fees and tenure affect the goodwill write-off. Our paper contributes to prior literature on external audit and financial accounting choices. Our study suggests that leniently audited discretional fair value estimates are likely to compromise the role of auditing (and of financial reporting) as an external control mechanism. Our study can contribute to the current policy debate around goodwill accounting.     

Social capital and innovation dynamics in district-based local systems

The idea behind this paper is that social capital (SC) is interpreted as a component of an investment, which implies entangled private and public benefits. Within a theoretical framework that considers SC as the public component of the impure public good R&D we show that the ‘civic culture’ of the district in which a firm is located is not a sufficient incentive for the firm to increase its investment in SC, because SC/networking dynamics might positively and complementarily evolve only if the opportunity cost of investing in innovation is sufficiently low. Consequently, we focus our attention on a specialised biomedical industrial district characterised by a strong pattern of innovative activity. We observe that R&D and networking/social capital arise as complementary driving forces of innovation outputs. When the empirical evidence confirms that this complementarity plays a key role, policy efforts should be targeted toward both market and non-market characteristics, rather than solely to the production of local public goods or innovation inputs as independent elements of firm performance. This is very important in terms of policy effectiveness. In fact, we argue that SC/networking dynamics might positively evolve only if the private opportunity cost of investing in R&D innovation is sufficiently low. Nevertheless, this exogenous economic incentive works as long as complementarity, as defined here, holds.     

Gambling Disorder and Affect Regulation: The Role of Alexithymia and Attachment Style

The aim of the present study was to explore the dimensions of alexithymia and attachment styles in a group of disordered gamblers and to evaluate the relationship between alexithymia, attachment styles, and the severity of gambling disorder. Sixty disordered gamblers diagnosed according to the diagnostic and statistical manual-5 filled out the Kurzfragebogen zum Glücksspielverhalten, the 20-Item Toronto Alexithymia Scale, and the Experiences in Close Relationships-Revised. Approximately 70 % of the sample displayed ‘intermediate’ and ‘severe’ gambling severity levels on the Kurzfragebogen zum Glücksspielverhalten, and 77 % showed ‘high’ or ‘borderline’ levels of alexithymia on the Toronto Alexithymia Scale (mean = 56.40). Regarding attachment styles, 70 % of the sample displayed an ‘insecure’ attachment, with a particularly high prevalence of the ‘fearful’ style (26.66 %). A linear regression analysis revealed that only the anxiety dimension of the Experiences in Close Relationships questionnaire predicted the severity of gambling. Our data appear to confirm that gambling disorder is characterised by emotional and relational dysregulation, and that pathological gambling behaviours may serve as external regulators of internal undifferentiated emotional states.     

Union Activism,Workers’ Satisfaction and Organizational Change

Abstract. This paper investigates the reaction of active union members towards workplace organizational changes. We use micro‐data from a large firm and estimate an empirical model which deals explicitly with the potential endogeneity of the union activist status. The data indicate that workers who become union activists are more likely to complain than members. Moreover, after proper allowance is made for the endogeneity of union activism, we find this effect to be reinforced. This result suggests that activists are not inherently against organizational changes, as compared to non‐activists, though they report higher dissatisfaction in anticipation of the greater loss in union rents that is likely to be associated with the change.     

The social regulation of corporate social irresponsibility: Reviewing the contribution of corporate reputation

Whilst it is assumed that stakeholders penalize and deter corporate social irresponsibility (CSI), instances of CSI persist. Correspondingly, the literature on social regulation—which describes how non-governmental stakeholders exert their regulatory influence on organizations—remains fragmented. To act as a springboard for future studies, this review examines the contribution of corporate reputation to our understanding of how CSI is socially regulated. Our analysis of a large (n = 448 studies) multidisciplinary body of literature unearths a set of nuanced relationships between CSI and corporate reputation. We synthesize a conceptual framework in order to map the diverse landscape of literature and its contributions. We then highlight important gaps among—as well as between—research streams to present a future research agenda. Accordingly, this review contributes to closing ‘the loop’ between CSI, corporate reputation and social regulation, thereby opening up new pathways for future research.     

An Unbalance Adjustment Method for Development Indicators

This paper analyzes some aggregation aspects of the procedure for constructing a composite index on a multidimensional socio-economic phenomenon such as development, the main focus being on the unbalance among individual dimensions. First a theoretical framework is set up for the unbalance adjustment of the index. Then an aggregation function is proposed that takes unbalance among development dimensions into account; a separate index is also introduced that measures the unbalance itself. Finally the dataset of the Index of African Governance for the year 2007 is used to test this method and compare it against the weighted arithmetic mean of variables with relation to the measured values of unbalance, yielding significantly different results for ratings and rankings, which in addition show negative correlations with the unbalance adjustment values. The changes ensuing from the adjustment are commented for some countries.