Organizational Change, Skill Formation, Human Capital Measurement: Evidence From Italian Manufacturing Firms

Basing on a job competition approach, in this paper we provide a labour demand-oriented measure of human capital as defined by the amount of specific skills a firm generates through work-based training (WBT) activities. By merging three rich firm-level datasets, we estimate the impact of a set of variables that are supposed to affect both the propensity to invest in WBT and the intensity of training within the Italian manufacturing industry over the period 2001-2005.The estimates show that the effects of innovation on WBT is higher when the introduction of new technologies is supported by organizational innovations. When looking at the nature of WBT, we investigate the different determinants of the firms' propensity to provide both in-house and outside training. Finally, we estimate training intensity in terms, respectively, of the number of training activities provided, private and total training costs and the share of trainees

Graduates’ employment and employability after the “Bologna Process” reform. Evidence from the Italian experience and methodological issues

In a phase of depression and systemic crisis investments are essential assets in organizing the recovery, and the more so when innovation is relevant. This is why universities, companies, households and graduates implement strategies for overcoming the present crisis, leading to structural changes and competition both at the local and international level. In this framework, tracer studies on graduates transition to the labour markets provides fundamental insights and information not only to the organizations responsible for their training, but also to the economic system as a whole. Moreover, any such study is all the more useful when it can draw upon reliable and up-to-date information. This paper emphasizes three main points. First we present the results achieved by the AL model in tracing the transition path of graduates from the time they enrolled at the university until a few years after earning the degree. The survey is carried out every year by the AL and makes it possible to analyze the most recent labour market trends through the scrutiny of the career opportunities available for the graduates after 1, 3 and 5 years on from graduation. More specifically, we will present the results of the 2008 survey. This survey involved also all first and second level graduates from the 2007 vintage. Second, we examine the revision in our survey method, adopted in order to face the need to monitor a much higher number of post-reform graduates (more than 140 thousand overall) and the call of the Ministry and the universities to keep the information as much detailed as possible in assessing the employment outcomes for each single degree course, without losing feasibility in terms of costs and data collection time. In fact, we resorted to a mixed method: the computer assisted web interviewing (CAWI) and the computer assisted telephone interviewing (CATI). This is why it became necessary to measure and assess the effect of this approach on the answers given by interviewed graduates. In third place, we outline the results of some preliminary experiments carried on in order to allow for specific and recurrent comparisons between the results achieved with the AL model and other similar models dealing with the employment conditions of Italian graduates.Graduates’ employment; Graduates’ employability; Bologna Process; University reform; University governance; Assessment of the higher education system; CAWI and CATI survey techniques; Propensity score matching; Data quality control; Counter factual analysis; Labour supply, Human capital.

Models of Cotton Yarn Quality Standards based on Artificial Neural Networks that relate the raw material to the production process and the final product

A técnica de Redes Neurais Artificiais (RNAs) é utilizada para a resolução de diversos tipos de problemas característicos da Inteligência Computacional (IC) com a utilização de dados/variáveis relacionadas entre si, cada uma com sua maior ou menor influência na solução de um determinado problema. Neste trabalho utilizam-se dados de uma indústria de produção do fio de algodão que tem como matéria prima a fibra de algodão e seus ajustes no processo. Os dados foram organizados cronologicamente e após a adequação, pode-se determinar as variáveis a serem utilizadas na definição das redes como solução para determinar modelos padrões para a previsão da qualidade do fio. Foram criadas redes neurais do tipo MultiLayer Perceptron e dois tipos de treinamento, o Backpropagation e o Levenberg-Marquardt. Como resultado, obteve-se modelos de padrões de qualidade que a partir dos dados das características das fibras e ajustes das máquinas, resultam na previsão da qualidade do fio a ser produzido.The technique of artificial neural networks (ANNs) is used to solve several types of problems characteristic of Computational Intelligence (CI) with the use of related data/variables, each with its greater or lesser influence on the solution of a given problem. In this work we use data from a cotton yarn production industry, whose raw material is cotton fiber and its adjustments in the process. The data were organized chronologically and after the adequacy, it is possible to determine the variables to be used in the definition of the networks as a solution to determine standard models for predicting the yarn quality. MultiLayer Perceptron neural networks and two types of training, Backpropagation and Levenberg-Marquardt, were created. As a result, models of quality standards were obtained which, based on the data of the characteristics of the fibers and adjustments of the machines, resulted in the prediction of the quality of the yarn to be produced

Approaching an investigation of multi-dimensional inequality through the lenses of variety in models of capitalism

After a synthetic presentation of the state of poverty and inequality in the world and the contradictions incurred by economic theory in this field after decades of globalization and in the midst of a persisting global crisis, in paragraphs 2. and 3. we outline the rational for our theoretical analysis, underlining two main aspects. First of all, in paragraph 2. we recall the reasons which makes inequality a multidimensional phenomenon, while in paragraph 3. we explore the reasons why the models of capitalism theory is relevant for studying multidimensional inequality. These paragraphs emphasise that inequality is a multidimensional and cumulative phenomenon and it should not be conceived only as the result of the processes of personal and functional distribution of income and wealth, which even by themselves are intrinsically multidimensional. The basic idea is that institutions, the cobweb of relations among them and their interaction with the economic structure define the model of capitalism which characterises a specific country and this, in turn, affects the level and the dynamics of inequality. This approach is consistent with the sociological approach by Rehbein and Souza (2014), based on the analytical framework developed by Pierre Bourdieu. In paragraph 4. we outline the rational for our empirical analysis, applying the notion of institutional complementarity and examining the relationship between institutional complementarity, models of capitalism and inequality. Besides, refining Amable’s analysis (2003), we provide empirical evidence on the relationship between inequality in income distribution and models of capitalism. Additionally, basing on cluster analysis, we identify six different models of capitalism in a sample of OECD countries, provide preliminary evidence on the different level of inequality which characterises each model and suggest that no evidence supports of the idea that a single model of capitalism is taking shape in this sphere in EU. In paragraph 5. we give some hints about issues in search for a new interpretation capable to fasten together the process of increasing inequality, the notion of symbolic violence and the models of capitalism theory. In the last paragraph we focus on conclusions useful for carrying on our research agenda

Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements