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Introduction
Giuliano Resce is an Associate Professor of Economics at the University of Molise and Visiting Senior Fellow at the International Inequalities Institute - London School of Economics. He has consolidated expertise in Digital Methods, Big Data Analytics, Machine Learning, Text Mining, and Impact Evaluations.
Current institution
Additional affiliations
October 2012 - October 2014
Publications
Publications (89)
This paper examines the short-term effects of financial support provided to Inner Areas through a specific place-based governmental policy that was introduced in Italy between 2014 and 2018 to combat depopulation. Taking advantage of the most recent developments in the econometrics of policy evaluation, we apply a staggered difference-in-difference...
Allocating funds through competitive opportunities is a core tool of place-based development policies, as it can generate economic benefits and support the revitalisation of ‘left-behind’ territories. By relying on Machine Learning (ML) techniques, this paper investigates the predictability of actors expected to benefit from EU development funding...
This study applies Natural Language Processing (NLP) and Machine Learning (ML) to investigate global historical trends in food security. Using USAID’s Famine Early Warning Systems Network’s (FEWS NET) comprehensive reports spanning over two dozen countries, it explores prevalent dimensions such as shocks, outcomes, and coping capacities, offering i...
International, regional, and national organizations, alongside policymakers, are increasingly acknowledging the crucial connection between climate, peace, and security. However, there remains a notable gap in research methodologies capable of fully grasping the intricate dynamics of this relationship. This paper introduces the Integrated Climate Se...
This study investigates the causal link between inequality and gambling on a distinct dataset that encompasses administrative records of gambling turnover by game type in Italian municipalities. Employing shift–share instruments, we find a substantial impact of inequality on gambling turnover. Moreover, we show that such impact is additional and la...
This research explores the potential of Google Trends (GT) data as a tool for generating a daily index of food insecurity at the national level, focusing on regions monitored by the Famine Early Warning Systems Network (FEWS NET) and the Global Fragility Act (GFA). Drawing inspiration from previous studies on GT's predictive capabilities, the autho...
This study investigates the relationship between Google Trends (GT) interest in European Structural and Investment Funds (ESIF) and the absorption rate across 27 European Union countries. Utilizing a two-way fixed effect methodology, we analyse annual GT data from 2007 to 2016. Results reveal a consistently positive and statistically significant ex...
Given the growing significance of internet-based information flows, this research proposes a conceptual framework that integrates digital platforms to nowcast social phenomena, applied to the context of food security monitoring in the Global South. Building on the foundations of Digital Methods and online issue mapping, our research objective is to...
In this Paper we analyze the dynamics of the interventions of European cohesion policies in the Italian territory - according to a regional division - focusing on the topics financed, extracted through text mining, in particular with the term document matrix and term frequency – inverse document frequency. From the analysis conducted on 51.971 proj...
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 st...
International, regional, and national organizations and policymakers are increasingly acknowledging the implications of climate on peace and security, but robust research approaches that embrace the complexity of this nexus are lacking. In this paper, we present the Integrated Climate Security Framework (ICSF), a mixed-methods framework to understa...
Periodic country analyses elaborated by the Famine Early Warning Systems Network of the United States Agency for International Development (FEWS NET) comprises a unique source of knowledge encompassing consistent reporting in over two dozen countries. This paper proposes a systematic assessment of this documentation to provide a comprehensive histo...
To what extent do different newspapers have different kinds of images associated with articles on the same topic? We investigate this research question by considering one of the most important Income Support Policies implemented in Italy in recent times (‘Reddito di cittadinanza’ - RdC) which generated a strong debate in public opinion. Focussing o...
This paper proposes a methodology for examining the presence of Keynesian ideas in the economic debate. To this aim we use Twitter as a source of data to monitor the debate in real time. We quantify the presence of Keynesian and anti-Keynesian thought in tweets about the economy and we qualify the emotional tone of these tweets. Our preliminary res...
Despite increasing awareness of the nexus between climate change and human security, especially in fragile contexts, this complex relationship has yet to be reflected in the policy arena. To investigate this potential policy gap, we apply an online issue mapping approach to assess representations of climate security within the public discourse of p...
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...
This paper proposes an assessment of the association between income and unmet health needs in 29 European countries included in the European Health Interview Survey (EHIS) in 2015. Income-related inequalities for four categories of unmet needs are estimated by the Erreygers Index (EI). Unmet needs are organised into two categories: on the one side,...
This article investigates the association between fiscal decentralization and municipality efficiency by conducting an empirical analysis focused on the Italian context. We conduct a cost-efficiency analysis based on a stochastic frontier approach with municipality and time fixed effects modelling the decentralization effect with a continuous varia...
We investigate the different roles played by nodes’ network and non-network attributes in explaining the formation of European university collaborations from 2011 to 2016, in three European Research Council (ERC) domains: Social Sciences and Humanities (SSH), Physical and Engineering Sciences (PE), Life Sciences (LS), as well as multidisciplinary c...
This paper investigates the association between income and the habit of smoking in 30 European countries. Using the European Health Interview Survey carried out between 2013 and 2015, the analysis focuses on the relationship among net monthly equivalised income of the household, the type of smoking behaviour, and the daily average number of cigaret...
Geographical Indications (GIs), as Protected Designation of Origin (PDO)and Protected Geographical Indication (PGI), offer a unique protection scheme to preserve high-quality agri-food productions and support sustainable rural development at the territorial level. However, not all the areas with traditional agri-food products are acknowledged with...
Research for development organizations generate tremendous amount of accessible knowledge, but given their scale, time and resource constraints, the impact of outputs is not systematically analyzed. This is because traditional bibliometric analyses present limitations to synthesize accumulated knowledge and retrofitting indicators to historical out...
This paper investigates the impact of non-political administrators on the financial management of local governments. The activityof prefectorial officials is compared with the activity of elected mayors exploiting data extracted from a panel of 7826 Italian municipalities from 2007 to 2018. To address the potential confounding effects and selection...
This paper investigates the effects on the economic activities location of a specific governmental place-based policy, the Italian Strategy for Inner Areas (SNAI). Taking advantage of the most recent developments in the econometrics of policy evaluation, we apply a staggered difference-indifference estimator to evaluate the impact of the public pol...
Negli ultimi decenni, un numero crescente di governi, sia nei paesi sviluppati che in quelli in via di sviluppo, ha adottato politiche di decentramento fiscale conferendo maggiori poteri decisionali in materia di spese ed entrate agli enti locali.
L’idea alla base del decentramento si può far risalire alle tesi di Tiebout (1956) e Oates (1972), sec...
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 challe...
This paper proposes a novel method to analyze multidimensional poverty by using a large set of feasible weights to summarize the information about the poor, which enables remaining agnostic about the relative importance given to different poverty dimensions. This method allows for the calculation of the individual probability of being poor in a mul...
This paper analyses the inequality between the regions of the Organization for Economic 13 Co-operation and Development (OECD) member countries by using stochastic multi- 14 objective acceptability analysis and the associated multivariate Gini index. By consider- 15 ing a large number of possible combinations of weights, the distribution of the pot...
This paper investigates the association between fiscal decentralization and
municipality efficiency by conducting an empirical analysis focused on the
Italian context. We conduct a cost efficiency analysis based on a stochastic frontier approach with municipality and time fixed effects for 2010-2016 modelling the decentralization effect with a cont...
This paper aims to understand the linkages between climate, conflict, agriculture, and
migration in the Central American Dry Corridor and offer a road map for the region while
emphasizing the role of research and development.
Questo lavoro fornisce un originale e significativo contributo alla letteratura empirica sulle differenze di genere, verificando se la struttura dei costi dei comuni sia correlata con la presenza delle donne nella governance degli enti pubblici. L’analisi empirica si concentra sui comuni italiani osservati nel periodo 2010-2016. I risultati dell’an...
Advances in machine learning and Big Data research offer great potential for international development agencies to leverage the vast information generated from accountability mechanisms to gain new insights, providing analytics that can improve decision-making. From a knowledge management perspective, project operational reports are crucial histori...
This paper investigates the association between income and the habit of smoking in 30 European countries. Using the European Health Interview Survey carried out between 2013 and 2015, the analysis focuses on the relationship among net monthly equivalised income of the household, the type of smoking behaviour, and the daily average number of cigaret...
It has been shown that the development of a country's people stems from its wealth, which is characterized by human, social, and natural capital, but an assessment of the Human Development Index adjusted for wealth is still missing in the literature. There are large differentiations in the productive bases of countries, and the Human Development In...
Vaccine hesitancy (VH) might represent a serious threat to the next COVID‐19 mass immunization campaign. We use machine learning algorithms to predict communities at a high risk of VH relying on area‐level indicators easily available to policymakers. We illustrate our approach on data from child immunization campaigns for seven nonmandatory vaccine...
The food systems approach has gained renewed prominence in recent years, due to its role towards gaining an understanding of food insecurity and malnutrition. A “food systems” lens has therefore become essential to better design development interventions and innovations that can positively impact food systems outcomes. This study provides evidence...
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 cat...
Vaccine hesitancy (VH) might represent a serious threat to the next COVID-19 mass immunization campaign. We use machine-learning algorithms to predict communities at a high risk of VH relying on area-level indicators easily available to policymakers. We illustrate our approach on data from child immunization campaigns for seven non-mandatory vaccin...
In this paper we analyze the predictability of the bankruptcy of 7795 Italian municipalities in the period 2009-2016. The prediction task is extremely hard due to the small number of bankruptcy cases, on which learning is possible. Besides historical financial data for each municipality, we use alternative institutional data along with the socio-de...
One of the difficulties faced by policy makers during the COVID-19 outbreak in Italy was the monitoring of the virus diffusion. Due to changes in the criteria and insufficient resources to test all suspected cases, the number of ‘confirmed infected’ rapidly proved to be unreliably reported by official statistics. We explore the possibility of using...
Since its lethality increases exponentially with age, the early 2020 COVID-19 shock unexpectedly raised the risk of corporate disruption at companies led by older CEOs. While normally unprepared successions might be beneficial by replacing entrenched CEOs, this systemic shock projected a possible crowding of older CEOs’ successions, with disruption...
This evaluation sought to understand CCAFS’ influence in motivating actors to tackle climate change. In CCAFS’ theory of change, a cross-cutting aim is to work with strategic partners to “foster policy and institutional change” that will enable large-scale CSA adoption. A conceptual framework was developed, and an innovative approach based on the D...
There is widespread evidence that smoking is more spread among the least well-off, but few studies investigate the effects of the differentiation of smoking products. This paper provides new evidence on income related inequality of five different products using a database from the Italian Population Survey on Alcohol and other Drugs. In particular,...
This paper proposes the use of a new technique, the Stochastic
Multicriteria Acceptability Analysis (SMAA), to evaluate education
quality at school level out of the PISA multidimensional database.
SMAA produces rankings with Monte Carlo Generation of weights
to estimate the probability that each school is in a certain position
of the aggregate rank...
This paper proposes a novel approach to evaluate European countries on Sustainable Development Goals (SDG) by means of Hierarchical Stochastic Multicriteria Acceptability Analysis (HSMAA). HSMAA produces rankings with Monte Carlo generation of weights, overcoming the need to choose one specific set of weights. The main contribution of this paper li...
One of the difficulties faced by policy makers during the Covid-19 outbreak in Italy was the
monitoring of the virus diffusion. Due to changing criteria and insufficient resources to test all
suspected cases, the number of ‘confirmed infected’ cases rapidly proved to be unreliably reported
by official statistics. This limited the ability of epidemi...
Background and aims:
Families who live in a disadvantaged socioeconomic situation frequently face substandard housing, unsafe neighborhoods, inadequate schools and more stress in their daily lives than more affluent families, with a host of psychological and developmental consequences that can hinder their children's development in many ways. Howe...
In this paper, we use the standardized mortality rates for 21 mutual exclusive causes of death to propose a composite index of US county-level health performances in 1980–2014 interval. We aggregate mortality rates by the stochastic multi-criteria acceptability analysis (SMAA), in order to avoid any a priori judgement on the importance given to a s...
This paper introduces the Best-Worst PROMETHEE method, which avoids the rank reversal problem of other PROMETHEE methods. We use this new technique to rank schools in the Programme for International Student Assessment (PISA). We consider three separate outputs, provided by average student attainments in mathematics, language, and sciences. Our samp...
This paper evaluates multidimensional poverty in European countries introducing two main novelties compared with the previous literature: first, the dimensions of poverty are selected on the basis of the shared values included in the Charter of Fundamental Rights of the European Union; second, the whole space of feasible weights is used to summaris...
In this paper we document the income-related inequality in gambling. We employ a novel database from 2014–2017 waves of the Italian Population Survey on Alcohol and other Drugs (IPSAD) which also include information on the preferences for games of chance. Following the Erryegers Index, our findings suggest that traditional lotteries are concentrate...
Introduction and aims:
People who inject drugs (PWID) constitute the largest reservoir of hepatitis C virus (HCV). Although effective medications are available and access to care is universal in Italy, the proportion of PWID receiving appropriate care remains low.
Design and methods:
To identify the major barriers for PWID to HCV treatment we su...
This paper aims at investigating the effect of Economic Social and Cultural Status (ESCS) on the educational performances of students, using two waves of the Programme for International Student Assessment (PISA) survey of OECD (2009, 2012). The analysis is conducted at student level for all countries included in the PISA sample. The estimates are b...
Environmental-economic perspectives are recently taking growing momentum in the analysis of country-level performances, but few studies take into account the multi-dimensional nature of the phenomenon. The leading measure of pollution still remains only CO2 emission or, at best, CO2 equivalent emission. The few works taking a multi-criteria perspec...
One of the most influential measures of multidimensional well-being, the Better Life Index, launched by OECD in 2011, contains a detailed overview of the social, economic, and environmental performances of different countries. Since its launch, a relevant number of empirical studies have been proposed on these data, but the role played by the dista...
We document the income-related inequality in gambling. We employ a novel database from 2014-2017 waves of the Italian Population Survey on Alcohol and other Drugs (IPSAD) which also include information on the preferences for games of chance.
This paper introduces the Stochastic Multicriteria Acceptability Analysis (SMAA)
in order to investigate the evolution of mortality rates in the Italian regions over the
period 1990-2013. We propose to explore the overall outcome of health care by a Composite Index of mortality based on the combination of standardized mortality rates for seventeen...
Multi-criteria decision analysis has been used to solve many problems. Here we describe an adaptation of PROMETHEE for measuring productivity. The results of PROMETHEE productivity analysis are displayed graphically, permitting the user to distinguish easily between four types of action: efficient, effective, frugal and inefficient actions. The pro...
Online ratings provide valuable information to operators. However, the use of this information for revenue maximization purposes remains at a moot point. This article proposes a new method to decompose ratings based on their relevance to hotel performance. From a methodological standpoint, we propose a multi-criteria decision analysis approach. The...
Better Life Index (BLI), the measure of well-being proposed by the OECD, contains many metrics, which enable it to include a detailed overview of the social, economic, and environmental performances of different countries. However, this also increases the difficulty in evaluating the big picture. In order to overcome this, many composite BLI proced...
Over the last two decades, due to strong decentralization and widespread budget constraints, the Italian co-payment for health care has become a way to finance public health. This phenomenon has provoked a continuous increase of private costs of public health and an evident regional heterogeneity. As a result, a pervasive spatial inequality of acce...
Since measures of well-being are meant to be an exercise in documentation, but also a tool for
policies and priorities, we suggest an operative way to use them. We evaluate both technical and
social efficiency of countries in producing the Better Life Index (BLI) objectives. To assess the
efficiency test, we use Data Envelopment Analysis integrated...
The public and private sectors are different in terms of ownership, funding, and control. The degree of publicness influences the decision-making processes, strategies, and actions, thus severely impacting the performance levels. This study contributes to the existing literature on managerial efficiency environmental factors by proposing a framewor...
This study investigates the efficiency of the Italian SBs sector over the 2012–2013 period. The measure of efficiency is the esteem of the SBM Data Envelopment Analysis. In the first stage of the analysis, we evaluate the SBs efficiency while in the second stage we compare the performance of SBs belonging to bank groups with those stand-alone. In o...
Conventional measures of competitiveness in terms of final prices shed little light on how those measures are affected by public expenditure. By taking productivity as a common factor to any index of competitiveness we propose to assess the Italian Public Sector contribution by its productivity in providing public services. Integration of Data Enve...
Within the widening research area of efficiency measurements of non-marketed public services, this paper deals with the services provided by Municipal police and the problem posed by the presence of non-discretionary variables. If there are factors and-or outputs that do not come under public managers' discretion, then conventional efficiency measu...
Il primo obiettivo di questo lavoro è proporre un metodo di
aggregazione del Better Life Index (BLI), che non richieda alcuna scelta riguardo al
peso relativo delle singole variabili; il secondo obiettivo è valutare l’efficienza nella
produzione del BLI. Per entrambi i fini si sceglie di usare Data Envelopment Analysis
integrata con Non Negative Pr...
Nel valutare l’eco-efficienza con Data Envelopment Analysis è
necessario fare delle scelte metodologiche e adottare uno tra i vari approcci presenti
in letteratura. Ogni metodo si differenzia dagli altri sia per il modo di trattare il bad
output sia per i risultati ottenuti. La valutazione risulta condizionata direttamente dalla
metodologia che si...
Questions
Question (1)
I need a random matrix with preassigned correlation for Monte Carlo simulation