Is the Discouraged Worker Effect Time-Varying?

This study investigates the relationship between the female labour force participation and the female employment rate in Italy by adopting non-linear econometric modelling. In our specification we are unable to reject a nonlinear relationship. This implies that the discouraged worker effect is timevarying.Discouraged Workers, Non-linearity

ON THE NON-LINEAR DYNAMICS BETWEEN EMPLOYMENT AND LABOUR FORCE PARTICIPATION

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Designing the Optimal Length of Working Time

How many hours per week should workers in the United States and Germany spend at their paying jobs? The present paper addresses this question by constructing policymakers’ reaction functions capable of modelling the optimal length of working time as a function of the relevant labour market variables. The empirical analysis is based on the optimal control algorithm. Given a policymaker’s loss function and a structural model of the labour market we define alternative specifications of reaction functions where the response coefficients indicate how policymakers should react to any news in the labour market in order to stabilize employment and wages. We also perform a comparative analysis on the ability of the rules to correspond to historical working-time records. The results suggest that simple rules perform quite well and that the advantages obtained from adopting an optimal control-based rule are not so great. Moreover, the analysis emphasizes the success of the wage-based rule and of the employment based rule in the US and Germany, respectively. Finally, we propose a policy rule to capture the dynamics of the weekly working hours. According to our rule the length of the workweek is an inverse function of the deviation between the actual and potential employment level.Policy Rule, Working-time, Dynamic Optimization

Genetic Algorithm Modeling with GPU Parallel Computing Technology

We present a multi-purpose genetic algorithm, designed and implemented with GPGPU / CUDA parallel computing technology. The model was derived from a multi-core CPU serial implementation, named GAME, already scientifically successfully tested and validated on astrophysical massive data classification problems, through a web application resource (DAMEWARE), specialized in data mining based on Machine Learning paradigms. Since genetic algorithms are inherently parallel, the GPGPU computing paradigm has provided an exploit of the internal training features of the model, permitting a strong optimization in terms of processing performances and scalability.Comment: 11 pages, 2 figures, refereed proceedings; Neural Nets and Surroundings, Proceedings of 22nd Italian Workshop on Neural Nets, WIRN 2012; Smart Innovation, Systems and Technologies, Vol. 19, Springe

DIPENDENZA SPAZIALE CONTEMPORANEA E NON CONTEMPORANEA NEI TASSI DI DISOCCUPAZIONE: UN TENTATIVO DI ANALISI EMPIRICA DEI DATI PROVINCIALI ITALIANI

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EMPLOYMENT, CAPITAL OPERATING TIME AND EFFICIENCY WAGES HYPOTHESIS: IS THERE ANY ROOM FOR WORKSHARING?

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ORARIO DI LAVORO E OCCUPAZIONE IN UN CONTESTO ECONOMICO BISETTORIALE

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CAPITALE UMANO, ORARIO DI LAVORO, SALARI DI EFFICIENZA E COT IN UN MODELLO DI SVILUPPO DUALISTICO

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REDUCING WORKING TIME IN AN EFFICIENCY WAGE ECONOMY WITH A DUAL LABOUR MARKET

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