Daniele will join the Department of Economics as lecturer in September 2021. He was previously at the University of Cambridge and the Graduate Institute of International and Development Studies in Geneva, where he obtained his PhD in 2018 and subsequently led a 2-year interdisciplinary research project.
His research lies at the nexus of development and environmental economics and applied mathematics. His current work focuses on the economic impact of endemic diseases, with a focus on Sub-Saharan Africa and on the role of water infrastructures. He also works on probability theory and stochastic analysis, with a particular interest on nonlinear diffusion processes. He is also a classical pianist, performing internationally.
Nationality: Italian
Qualifications
PhD
Links
Research interests
- Development economics
- Environmental economics
- Stochastic analysis and control
Key publications | Publications by category | Publications by year
Publications by category
Journal articles
Rinaldo D, Perez-Saez J, Vounatsou P, Utzinger J, Arcand J-L (2021). The economic impact of schistosomiasis.
Infect Dis Poverty,
10(1).
Abstract:
The economic impact of schistosomiasis.
BACKGROUND: the economic impact of schistosomiasis and the underlying tradeoffs between water resources development and public health concerns have yet to be quantified. Schistosomiasis exerts large health, social and financial burdens on infected individuals and households. While irrigation schemes are one of the most important policy responses designed to reduce poverty, particularly in sub-Saharan Africa, they facilitate the propagation of schistosomiasis and other diseases. METHODS: We estimate the economic impact of schistosomiasis in Burkina Faso via its effect on agricultural production. We create an original dataset that combines detailed household and agricultural surveys with high-resolution geo-statistical disease maps. We develop new methods that use the densities of the intermediate host snails of schistosomiasis as instrumental variables together with panel, spatial and machine learning techniques. RESULTS: We estimate that the elimination of schistosomiasis in Burkina Faso would increase average crop yields by around 7%, rising to 32% for high infection clusters. Keeping schistosomiasis unchecked, in turn, would correspond to a loss of gross domestic product of approximately 0.8%. We identify the disease burden as a shock to the agricultural productivity of farmers. The poorest households engaged in subsistence agriculture bear a far heavier disease burden than their wealthier counterparts, experiencing an average yield loss due to schistosomiasis of between 32 and 45%. We show that the returns to water resources development are substantially reduced once its health effects are taken into account: villages in proximity of large-scale dams suffer an average yield loss of around 20%, and this burden decreases as distance between dams and villages increases. CONCLUSIONS: This study provides a rigorous estimation of how schistosomiasis affects agricultural production and how it is both a driver and a consequence of poverty. It further quantifies the tradeoff between the economics of water infrastructures and their impact on public health. Although we focus on Burkina Faso, our approach can be applied to any country in which schistosomiasis is endemic.
Abstract.
Author URL.
DOI.
Publications by year
2021
Rinaldo D, Perez-Saez J, Vounatsou P, Utzinger J, Arcand J-L (2021). The economic impact of schistosomiasis.
Infect Dis Poverty,
10(1).
Abstract:
The economic impact of schistosomiasis.
BACKGROUND: the economic impact of schistosomiasis and the underlying tradeoffs between water resources development and public health concerns have yet to be quantified. Schistosomiasis exerts large health, social and financial burdens on infected individuals and households. While irrigation schemes are one of the most important policy responses designed to reduce poverty, particularly in sub-Saharan Africa, they facilitate the propagation of schistosomiasis and other diseases. METHODS: We estimate the economic impact of schistosomiasis in Burkina Faso via its effect on agricultural production. We create an original dataset that combines detailed household and agricultural surveys with high-resolution geo-statistical disease maps. We develop new methods that use the densities of the intermediate host snails of schistosomiasis as instrumental variables together with panel, spatial and machine learning techniques. RESULTS: We estimate that the elimination of schistosomiasis in Burkina Faso would increase average crop yields by around 7%, rising to 32% for high infection clusters. Keeping schistosomiasis unchecked, in turn, would correspond to a loss of gross domestic product of approximately 0.8%. We identify the disease burden as a shock to the agricultural productivity of farmers. The poorest households engaged in subsistence agriculture bear a far heavier disease burden than their wealthier counterparts, experiencing an average yield loss due to schistosomiasis of between 32 and 45%. We show that the returns to water resources development are substantially reduced once its health effects are taken into account: villages in proximity of large-scale dams suffer an average yield loss of around 20%, and this burden decreases as distance between dams and villages increases. CONCLUSIONS: This study provides a rigorous estimation of how schistosomiasis affects agricultural production and how it is both a driver and a consequence of poverty. It further quantifies the tradeoff between the economics of water infrastructures and their impact on public health. Although we focus on Burkina Faso, our approach can be applied to any country in which schistosomiasis is endemic.
Abstract.
Author URL.
DOI.
Awards and Honours
- Leonid Hurwicz Prize (Geneva, 2019)