Pubblicazioni del Dipartimento di Scienze Economiche e Statistiche http://elea.unisa.it/xmlui/handle/10556/1541 2026-04-14T12:45:55Z 2026-04-14T12:45:55Z Pinto, Claudio http://elea.unisa.it/xmlui/handle/10556/9012 2026-02-23T07:13:46Z 2021-01-01T00:00:00Z

Modello NDEA Relazionale per Misurare la Performance Economica di un Processo di Produzione con Quattro Stadi e con Tecnologia di Produzione a Rete con Output Indesiderabili Pinto, Claudio La Network Data Envelopment Analysis è un approccio di misurazione delle performance relative per unità decisionali modellate come un sistema a rete composto da più sotto parti ciascuna con la propria (sotto) tecnologia di produzione e variamente interconnesse tra loro. In questo lavoro proponiamo un modello NDEA relazionale nella versione dei moltiplicatori per misurare le performance relative di unità decisionali (processi produttivi) modellati come un sistema a rete di quattro sotto processi interconnessi tra loro tramite risorse intermedie, risorse condivise e con la produzione di output indesiderabili. Il lavoro ha come obiettivi da un lato estendere la modellistica NDEA per misurare la performance relativa di processi produttivi modellati come reti con più di due sotto processi e dall’altro attribuire al processo in questione una possibile tecnologia di produzione a rete e sotto tecnologie con output indesiderabili.

2021-01-01T00:00:00Z Barone, Adriana Barra, Cristian http://elea.unisa.it/xmlui/handle/10556/9011 2026-02-23T07:13:44Z 2020-01-01T00:00:00Z

The relationship between employment and mental health problems in Italy: evidence from EHIS2 microdata Barone, Adriana; Barra, Cristian This paper investigates the role that permanent and full-time job have on the mental health variables of employees using microdata from the 2nd Wave of the European Health Interview Survey controlling for gender, socio-economic status, tighter (marital status, social network) and looser (degree of urbanization of the area in which the individual lives, geographical area) socio-environmental variables, and health status (chronic diseases, chronic anxiety). Employing a linear regression model with a large dummy-variables set, the main results on the relationship between the employment and mental health problems of the entire sample of individuals between 25–64 years show that in Italy employees with permanent and full-time job have lower probability of having mental health problems compared to the employees without permanent and full-time job; the economic sector where the probability of suffering from MH problems is higher in Energy and Manufacturing, while are the managers to have a lower probability of suffering from MH problems. Furthermore, the results seem to confirm that in Italy there are gender differences in mental health problems, with males suffering less from overall MH compared to the females, taking into account education, income or the economic sector where they work or the occupation they carry on. Also, the results seem to confirm that there are differences between the Italian regions: a high level of education increases the probability of suffering from mental health problems in the Southern regions while a narrow social network seems to be an important factor in order to increase mental health problems in the Northern regions. To weight status is associated a higher probability of having mental health problems, more in the Southern regions than in the Northern ones. Albeit with the limitations discussed in the paper, the results we obtained by analyzing the relationship between mental health problems and employment in Italy underline the key dimension of mental health of our all lives.

2020-01-01T00:00:00Z Destefanis, Sergio Fragetta, Matteo Ruggiero, Nazzareno http://elea.unisa.it/xmlui/handle/10556/9006 2026-02-23T07:26:46Z 2020-01-01T00:00:00Z

Active and passive labour-market policies: the outlook from the Beveridge curve Destefanis, Sergio; Fragetta, Matteo; Ruggiero, Nazzareno We appraise the impact of various indicators of active and passive labourmarket policies within the framework of the Beveridge curve across 14 OECD countries from 1985 to 2013, controlling for a wide spectrum of other factors, both institutional (tax wedge, employment protection legislation) and structural (technological progress, globalisation). We embed the role of all these variables within the specification of the Beveridge curve, avoiding the potential pitfalls of twostep approaches. We find that the generosity of unemployment benefits has a detrimental impact on labour-market matching, with the duration of benefits taking a key role in driving this result. Among active labour-market policies, employment incentives and especially training have a favourable effect on matching. There is also some evidence of a virtuous interaction between active and passive policies. A significantly detrimental role emerges for the tax wedge. These results are consistent across various specifications, and structural relationships are stable throughout the 2008–2013 period.

2020-01-01T00:00:00Z Destefanis, Sergio Di Serio, Mario Fragetta, Matteo http://elea.unisa.it/xmlui/handle/10556/9005 2026-02-23T07:26:44Z 2020-01-01T00:00:00Z

Regional multipliers across the Italian regions Destefanis, Sergio; Di Serio, Mario; Fragetta, Matteo This paper estimates the multipliers of different types of government spending in the 20 Italian administrative regions throughout 1994–2016. To this end, we use a Bayesian random effect panel vector autoregressive model, which enables us to estimate region-specific multipliers. Our results highlight that the EU structural funds, compared to the other types of government spending, provide the largest and most widely spread GDP multipliers, whereas the effectiveness of nationally funded government investment and government consumption shocks is limited to certain regions. We also find that there exists a fair degree of substitutability between EU structural funds and other expenditure variables, which runs counter to the principle of additionality of the EU cohesion policy. Moreover, at least for some regions, private investment is crowded in by shocks to government consumption and EU structural funds and crowded out by shocks to nationally funded government investment. An exploratory analysis of the distribution of multipliers across regions and expenditure types suggests that multiplier values are positively associated with the amount of unused resources as well as with the region size.

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