The paper uses data from 2003 Multiscopo Italian Survey to estimate education effects on fertility and in particular to determine how and to what degree does unobserved heterogeneity influence the estimated effects, that is to say how unobserved heterogeneity might bias estimates of effects of education on transition to 1st, 2nd and 3rd births. The peculiarity of this study is the implementation of a multiprocess approach, which allows for a broader and more efficient view of the phenomenon, studying jointly the transition to first, second and third or higher order births. In doing this I will use control variables, in particular educational level of the mother and her siblings (i.e. partner and grandmother), to detect possible influences of education in childbearing timing. Moreover, this topic has not yet been analysed using Italian data, in particular using Multiscopo Survey data and it may produce interesting comparisons with regard to other European countries, where the topic has already been addressed. In this study I will prove that number of siblings is the variable, which has a significative and relevant effect in all the models considered and that women partner’s education has an up-and-down effect on transition to childbearing. Moreover, the inclusion of unobserved characteristics of women has an important role in understanding transition to childbearing, being positive and significant.

Questo lavoro intende analizzare la correlazione tra innovazione delle imprese e capital sociale, misurato da indicatori classici (come la partecipazione politica e le attività nel tempo libero) e da indicatori maggiormente legati alla dimensione aziendale (come accordi e cooperazioni). L’analisi viene fatta sia per l’Italia che per il Regno Unito attraverso l’uso della Community Innovation Survey 4, la survey europea sull’innovazione e la R&S nelle imprese per i dati su innovazione e capital sociale aziendale. Inoltre vengono utilizzate l’Indagine Multiscopo 2000 per l’Italia e l’Indice di Deprivazione per l’Inghilterra come misure di capitale sociale classico. Infine viene proposta una comparazione dei risultati per i due paesi per l’analisi sul capitale sociale aziendale. Questa comparazione è riletta alla luce di più generali considerazioni sui due differenti sistemi produttivi ed economici. / This work would try to test the correlation between innovation in firms and social capital, measured by classic indicators (like political participation, leisure and activities) and more corporate indicators (like agreements and collaborations). The analysis is carried out for Italy and UK and we use the Community Innovation Survey 4, the European survey on innovation and R&D in the firms, for the data on innovation and corporate social capital. We use the Multipurpose Survey 2000 for Italy and the Index of Deprivation for England like measures of classic social capital. We further try a comparison of the results between the two countries for the analysis on corporate social capital. This comparison is finally referred to more general issues like the two different productive and economic systems.