Early Labour Market Returns to College Subject

Abstract. We estimate early labour market outcomes of Italian university graduates across college subjects. We devote great attention to endogenous selection issues using alternative methods to control for potential self‐selection associated with the choice of the degree subject in order to unravel the causal link between college major and subsequent outcomes in the labour market. Our results suggest that ‘quantitative’ fields (i.e. Sciences, Engineering, and Economics) increase not only the speed of transition into the first job and employment probability but also early earnings, conditional on employment.     

Innovation, workers skills and industrial relations: Empirical evidence from firm-level Italian data

The shifting of labour demand toward relatively more skilled workers has been a hot issue in the economic field for many years. A consolidated explanation for the upskilling phenomenon is that technological–organisational changes have driven the labour demand with detrimental consequences for less skilled workers (skill-biased technological–organisational change). In order to upgrade the skill workforce the firm has at least two main channels at its disposal: the external labour market strategy, mainly based on hiring and firing mechanisms; the internal labour market strategies, which improve the skill base of the employees through training activities.The main objective of the present work is to verify the relations between innovative strategies and both the workforce composition and the training activities, within an integrated framework that also leads us to consider the role of specific aspects of the industrial relations system.The firm level analysis is based on original datasets which include data on manufacturing firms for two Italian local production systems, located in the Emilia-Romagna region.The results suggest that the firms use both the two channels to improve their skill base, which is actually related to the innovation activities, although there is weak supporting evidence of the use of external labour markets to upgrade the workforce skills: the upskilling phenomenon seems to be associated to specific innovative activities in the technological sphere, while specific organisational aspects emerge as detrimental for blue collars. On the side of internal labour market strategies the evidence supports the hypothesis that innovation intensity induces the firms to implement internal procedures in order to upskill the workforce, confirming the importance of internal labour market strategies. Moreover, we have recognized the important role of firm level industrial relations in determining the training activities for the blue collar workers.     

ALLIANCES BETWEEN COMPETITORS AND CONSUMER INFORMATION

Alliances between competitors in which established firms provide access to proprietary resources—for example, their distribution channels—are important business practices. We analyze a market where an established firm, firm A, produces a product of well‐known quality, and a firm with an unknown brand, firm B, has to choose to produce high or low quality. Firm A observes firm B's quality choice but consumers do not. Hence, firm B is subject to a moral hazard problem which can potentially be solved by firm A. Firm A can accept or reject to form an alliance with firm B, which is observed by consumers. If an alliance is formed, firm A implicitly certifies the rival's product. Consumers infer that firm B is a competitor with high quality, because otherwise why would the established firm accept to form an alliance? The mechanism we discover allows for an economic interpretation of several types of business practices. (JEL: L15, L13, L24, L42, M21, M31, D43)     

Robust winner determination in positional scoring rules with uncertain weights

Theory and Decision - Scoring rules constitute a particularly popular technique for aggregating a set of rankings. However, setting the weights associated with rank positions is a crucial task, as...     

Measuring Health Inequality in US: A Composite Index Approach

Social Indicators Research - In this paper, we use the standardized mortality rates for 21 mutual exclusive causes of death to propose a composite index of US county-level health performances in...     

Statistical models for e-learning data

In this paper we analyse a real e-learning dataset derived from the e-learning platform of the University of Pavia. The dataset concerns an online learning environment with in-depth teaching materials. The main focus of this paper is to supply a measure of the relative importance of the exercises (test) at the end of each training unit; to build predictive models of student’s performance and finally to personalize the e-learning platform. The methodology employed is based on nonparametric statistical methods for kernel density estimation and generalized linear models and generalized additive models for predictive purposes.     

LR cointegration tests when some cointegrating relations are known

This paper considers the asymptotic analysis of the likelihood ratio (LR), cointegration (CI) rank test in vector autoregressive models (VAR) when some CI vectors are known and fixed. It is shown that the limit law is free of nuisance parameters. In the case of LR tests against the alternative of completely unrestricted CI space, the limit law can be expressed as the convolution of known distributions. This deconvolution is employed to approximate the quantiles of the distribution, without resorting to new simulations.     

Use of quantitative ultrasound as bone mineral density evaluation in an Italian female population living with HIV: A real-life experience

This is a multicenter cross-sectional study where we aimed to detect the rate of osteopenia/osteoporosis in an HIV female population (WLWHIV) by means of “heel quantitative ultrasound” (QUS) measurement. We enrolled 273 patients, mean age 48.1 years, 36% menopausal, 96% on combination antiretroviral therapy (cART). Calcaneal measure of bone mass index by QUS revealed osteopenia and osteoporosis in 76 (27.8%) and 16 (5.9%) WLWHIV. Our data underline the correlation between low QUS parameters and traditional risk factors for osteoporosis rather than with cART exposure, thus suggesting the crucial importance of detection and correction of traditional risk factors for osteoporosis in WLWHIV.