An investigation of the relation between the number of children and education in Italy

In this paper we have investigated the impact of the level of education on the number of children in Italy. We have selected 1,490 families from the 1997- 2005 Longitudinal Investigation on Italian Families (ILFI) dataset. Our dependent variable is represented by the number of children ever born to each respondent (and to his partner). Since the number of children ever born (CEB) is a count variable, we have implemented three empirical models: Poisson, Zero-Truncated Poisson and an Instrumental Variable Poisson, where grandparents’ education is exerted as an instrument of parents’ education. In particular, we have considered two stages for each model: in the first stage, we have estimated the impact of female’s education on her number of children, and in the second one, we have used also partner’s education to identify the previous effect. From the empirical results, we may observe a significant negative effect of the level of education on the number of children.Fertility; Human Capital; Education

VINCOLO ESTERO E POLITICA ECONOMICA NEGLI ANNI NOVANTA

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Human Capital and Ferility Decisions: A Comparative Microeconometric Analysis in Europe

In this paper we have investigated the relationship between human capital proxied by the schooling level and fertility decisions for some EU countries. For this purpose we have resorted to a dynamic random effect probit model controlling for unobserved heterogeneity and initial problem, by using eight waves of 2001 European Community Household Panel (ECHP) data. The main objective has been to compare the effects of education on the probability of having a child for some EU countries. Since the probability of having a child is affected by the same probability related to the previous year, we have implemented a dynamic model instead of a static one. From the empirical results, we have found out a significant relationship between the schooling level and fertility decisions.

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

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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Firms' Innovation in Waste Management and Land Fertilizers within the Triad

In this paper we investigate agricultural innovation in three economic areas: the USA, Japan and Europe, taking into account simultaneously both the spatial and technological dimensions.In particular, we introduce a theoretical framework and an empirical analysis based upon a dataset composed of worldwide R&D-intensive firms to discuss the role of spillover components in the waste management efficiency at firm level. The technological relatedness between the firms is computed through an original Mahalanobis Environmental industry weight matrix, based on the construction of technological vectors for each firm. Methodologically, from one hand, we explore the extent to which knowledge spillovers are important through spatial analysis procedure and from the other hand, we measure the effects of technology spillovers on firms' productivity through econometric methods to handle heterogeneity and endogenous explanatory variables. The findings show a positive impact of Jacobian R&D spillovers on firms' productivity and environmental performance and this result can be relevant repercussions in terms of policy implications

Theoretical and Empirical Foundations of Energy Production Efficiency Activity

The objective of this paper is to explore the energy production efficiency activity of large R&D-intensive firms. Research methodology follows two steps: first, we describe the theoretical background through a firm level model and, second, we develop econometric techniques that explore spatial spillovers and deal with the endogeneity of the explanatory variables. The findings show a significant effect of energy innovation externalities on firms' environmental performance

THE WORKING ENVIRONMENT AND SOCIAL INCREASING RETURNS

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ORARIO DI LAVORO E OCCUPAZIONE IN UN CONTESTO ECONOMICO BISETTORIALE

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