Giuliano Resce
Datos Biográficos
| ID | 338189 |
|---|---|
| NOMBRE | Giuliano Resce |
| NOMBRES | Giuliano |
| APELLIDO | Resce |
| FIRMA | RESCE G |
| AFILIACIONES | University of Molise |
| ORCID | 0000-0002-3913-0510 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 16 |
| TOTAL DE CITAS | 11 |
| TOTAL COMO AUTOR | 16 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2016 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 2 |
The determinants of health expenditure
Accurate prediction of healthcare costs is essential for making decisions, shaping policies, preparing finances, and managing resources effectively, but traditional econometric models fall short in addressing this policy challenge adequately. This paper uses machine learning (ML) to predict healthcare expenditure in systems with heterogeneous regional needs. The Italian NHS is used as a case study, with administrative data spanning the years 1996…
Predicting local taxation decision-making
This study investigates whether local taxation decisions can be reliably predicted using machine learning (ML), focusing on the personal income tax sur charge set by Italian municipalities. We evaluate the predictive performance of ML models and identify key determinants of tax-setting behaviour. Results show that municipal tax choices follow systematic and predictable patterns driven by demographic, fiscal, socio-economic and institutional facto…
The determinants of missed funding
This research investigates how local governments overlook funding opportunities within the cohesion policies, utilizing machine learning and analysing data from open calls within the European Next Generation EU funds. The focus is on predicting which local governments may face challenges in utilizing available funding, specifically examining the allocation of funds for Italian childcare services. The results demonstrate that it is possible to mak…
Income support and voting with territorial disparities
This article investigates the effect of government income support programs on voter behavior in contexts characterized by territorial disparities, using Italian Citizenship Income initiative as a case study. By leveraging a unique dataset that merges administrative records of program beneficiaries with electoral outcomes at the municipal level, we employ a difference-in-differences approach to exploit regional variations in program uptake. Our fi…
Co-payment exemption and healthcare consumption
This paper investigates the causal effect of co-payment exemption on the number of specialist visits in the Italian National Health System. Exploiting a discontinuity in the multiple eligibility criteria, we apply multiple regression discontinuity in a quasi-experimental setting, considering both age and income requirements. Differently from the standard regression discontinuity, this twofold discontinuity allows to identify the effect of co-paym…
Income-related inequality in smoking habits
Female presence in local government and cost efficiency
This paper investigates how female presence in political institutions influences local governments’ cost efficiency, implementing a one-stage stochastic frontier model, based on a panel of Italian municipalities, with municipal fixed effects. The empirical results provide significant evidence for the presence of a gender effect in politics: higher efficiency is observed in municipalities with a female mayor and a greater presence of women in thei…
Regional Well-Being and its Inequality in the OECD Member Countries
What is the importance of climate research? An innovative web-based approach to assess the influence and reach of climate research programs
Many parts of the world are increasingly experiencing the effects of climate change, making climate adaptation of rural livelihoods crucial to secure social and economic resilience. While the past two decades have witnessed a significant evolution in climate adaptation policy, evaluating the impact of climate science on policy has remained a challenge. This study employs the Digital Methods epistemology to explore the dynamics of agriculture-focu…
Smoking and income distribution
Harnessing the power of machine learning analytics to understand food systems dynamics across development projects
Cannabis Policy Changes and Adolescent Cannabis Use
Cannabis accounts for the largest share of the illicit drug market, with a high prevalence of use even among adolescents. To tackle this longstanding problem, many kinds of reforms to national cannabis control policies have been implemented in Europe, but their effectiveness is still unclear. This paper analyses the association between selected categories of cannabis policy reforms and changes in perceived cannabis availability and patterns of us…
Socioeconomic Status, Parental Education, School Connectedness and Individual Socio-Cultural Resources in Vulnerability for Drug Use among Students
Our results suggest that drug policies should be combined with actions aimed at removing barriers to social inclusion that are attributable to the socioeconomic background of adolescents
Beyond the Weights
Measuring Health Inequality in US
The Cost of Well-Being
The Cost of Well-Being
Female presence in local government and cost efficiency
This paper investigates how female presence in political institutions influences local governments’ cost efficiency, implementing a one-stage stochastic frontier model, based on a panel of Italian municipalities, with municipal fixed effects. The empirical results provide significant evidence for the presence of a gender effect in politics: higher efficiency is observed in municipalities with a female mayor and a greater presence of women in thei…
The determinants of missed funding
This research investigates how local governments overlook funding opportunities within the cohesion policies, utilizing machine learning and analysing data from open calls within the European Next Generation EU funds. The focus is on predicting which local governments may face challenges in utilizing available funding, specifically examining the allocation of funds for Italian childcare services. The results demonstrate that it is possible to mak…
Regional Well-Being and its Inequality in the OECD Member Countries
What is the importance of climate research? An innovative web-based approach to assess the influence and reach of climate research programs
Many parts of the world are increasingly experiencing the effects of climate change, making climate adaptation of rural livelihoods crucial to secure social and economic resilience. While the past two decades have witnessed a significant evolution in climate adaptation policy, evaluating the impact of climate science on policy has remained a challenge. This study employs the Digital Methods epistemology to explore the dynamics of agriculture-focu…
Measuring Health Inequality in US
The Cost of Well-Being
Measuring Health Inequality in US
Socioeconomic Status, Parental Education, School Connectedness and Individual Socio-Cultural Resources in Vulnerability for Drug Use among Students
Our results suggest that drug policies should be combined with actions aimed at removing barriers to social inclusion that are attributable to the socioeconomic background of adolescents
Beyond the Weights
Smoking and income distribution
Harnessing the power of machine learning analytics to understand food systems dynamics across development projects
Cannabis Policy Changes and Adolescent Cannabis Use
Cannabis accounts for the largest share of the illicit drug market, with a high prevalence of use even among adolescents. To tackle this longstanding problem, many kinds of reforms to national cannabis control policies have been implemented in Europe, but their effectiveness is still unclear. This paper analyses the association between selected categories of cannabis policy reforms and changes in perceived cannabis availability and patterns of us…
Regional Well-Being and its Inequality in the OECD Member Countries
What is the importance of climate research? An innovative web-based approach to assess the influence and reach of climate research programs
Many parts of the world are increasingly experiencing the effects of climate change, making climate adaptation of rural livelihoods crucial to secure social and economic resilience. While the past two decades have witnessed a significant evolution in climate adaptation policy, evaluating the impact of climate science on policy has remained a challenge. This study employs the Digital Methods epistemology to explore the dynamics of agriculture-focu…
Income-related inequality in smoking habits
Female presence in local government and cost efficiency
This paper investigates how female presence in political institutions influences local governments’ cost efficiency, implementing a one-stage stochastic frontier model, based on a panel of Italian municipalities, with municipal fixed effects. The empirical results provide significant evidence for the presence of a gender effect in politics: higher efficiency is observed in municipalities with a female mayor and a greater presence of women in thei…
Co-payment exemption and healthcare consumption
This paper investigates the causal effect of co-payment exemption on the number of specialist visits in the Italian National Health System. Exploiting a discontinuity in the multiple eligibility criteria, we apply multiple regression discontinuity in a quasi-experimental setting, considering both age and income requirements. Differently from the standard regression discontinuity, this twofold discontinuity allows to identify the effect of co-paym…
The determinants of missed funding
This research investigates how local governments overlook funding opportunities within the cohesion policies, utilizing machine learning and analysing data from open calls within the European Next Generation EU funds. The focus is on predicting which local governments may face challenges in utilizing available funding, specifically examining the allocation of funds for Italian childcare services. The results demonstrate that it is possible to mak…
Income support and voting with territorial disparities
This article investigates the effect of government income support programs on voter behavior in contexts characterized by territorial disparities, using Italian Citizenship Income initiative as a case study. By leveraging a unique dataset that merges administrative records of program beneficiaries with electoral outcomes at the municipal level, we employ a difference-in-differences approach to exploit regional variations in program uptake. Our fi…
The determinants of health expenditure
Accurate prediction of healthcare costs is essential for making decisions, shaping policies, preparing finances, and managing resources effectively, but traditional econometric models fall short in addressing this policy challenge adequately. This paper uses machine learning (ML) to predict healthcare expenditure in systems with heterogeneous regional needs. The Italian NHS is used as a case study, with administrative data spanning the years 1996…
Predicting local taxation decision-making
This study investigates whether local taxation decisions can be reliably predicted using machine learning (ML), focusing on the personal income tax sur charge set by Italian municipalities. We evaluate the predictive performance of ML models and identify key determinants of tax-setting behaviour. Results show that municipal tax choices follow systematic and predictable patterns driven by demographic, fiscal, socio-economic and institutional facto…
Economics (9 obras) · Sociology (6 obras) · Global Health Care Issues (5 obras) · Inequality (5 obras) · Medicine (5 obras) · Computer Science (4 obras) · Econometrics (4 obras) · Economic growth (4 obras) · Environmental health (4 obras) · Health disparities and outcomes (4 obras)