14 results on '"Tiberti, Marco"'
Search Results
2. Lost in aggregation?: On the importance of local food price data for food poverty estimates
- Author
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Dietrich, Stephan, Giuffrida, V., Martorano, Bruno, Schmerzeck, Georg, Tiberti, Marco, Dietrich, Stephan, Giuffrida, V., Martorano, Bruno, Schmerzeck, Georg, and Tiberti, Marco
- Abstract
International organizations, governments, and NGOs routinely rely on welfare effect estimates for social programming in crisis situations. Often, these estimation models incorporate national consumer price index data as an integral predictor. This paper contends that utilizing aggregate price data can be misleading due to spatial disparities in price trends. To explore this, we analyze shifts in food poverty estimates by employing local market price data instead of national consumer price index data. Utilizing a dataset from seven West African countries, we highlight significant spatial variation in cereal prices at the local level following the outbreak of COVID-19. Model estimates indicate an increase in food poverty of almost 10% during the pandemic's first wave due to food price increases. Sourcing cereal prices from local markets, instead of national CPI statistics, results in a 5% inclusion and 2% exclusion error, yet similar mean estimates. Our findings underscore the need for systematic collection of local price data for effective policymaking, such as CPI adjustments to social transfers and the allocation of relief funds.
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- 2023
3. Spatial inequality during the COVID-19 pandemic in Africa using night-time lights data
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Martorano, Bruno, Perra, Elena, Tiberti, Marco, Martorano, Bruno, Perra, Elena, and Tiberti, Marco
- Abstract
In this paper, we study the evolution of spatial inequality during the recent COVID-19 pandemic in Africa and assess if there is any association between the outbreak of the health crisis, the strictness of policy restrictions and the changes observed in spatial inequality. Using remotely sensed night time lights data, we find that spatial inequality decreased after the COVID-19 outbreak. Yet, there are huge differences within and between countries. Spatial inequality decreased in Southern and Northern African countries while it increased in Central African countries. Spatial inequality mainly decreased in countries implementing more stringent measures but also in those areas that were richer before the outbreak of the COVID-19 pandemic.
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- 2023
4. COVID-19 and Children’s School Resilience : Evidence from Nigeria
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Dessy, Sylvain, Gninafon, Horace, Tiberti, Luca, and Tiberti, Marco
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GENDER INEQUALITY ,DISTANCE LEARNING ,ACCESS TO EDUCATION ,DROPOUT RATE ,SCHOOL ATTENDANCE ,REMOTE LEARNING ,GENDER EQUITY ,COVID-19 ,SCHOOL CLOSURE ,LOCKDOWN ,CORONAVIRUS - Abstract
This paper analyzes the impact of COVID-19 lockdown measures on children's school resilience. Using an individual fixed-effect linear probability model on Nigeria data, it exploits the quasi-randomness of these measures to estimate their effect on school attendance after the lockdown was lifted. The results show that COVID-19 lockdown measures reduced children's probability of attending school after the school system reopened. This negative impact increased with children's age, reaching a peak among those whose education was no longer compulsory. For schoolchildren in that age group, the negative effect of COVID-19 lockdown measures is likely to be permanent, which, if not reversed, will undermine the quality of the economy-wide future labor force. The paper also finds evidence that in the child marriage-prone North-West part of Nigeria that these measures increased gender inequality in education among children aged 12 to 18. This result suggests that COVID-19 lockdown measures may exacerbate harmful traditional practices such as child marriage.
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- 2021
5. Polygyny and Farm Households' Resilience to Climate Shocks
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Dessy, Sylvain, Tiberti, Luca, Tiberti, Marco, and Zoundi, David
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CHILD MARRIAGE ,CLIMATE SHOCKS ,CROP YIELD ,RESILIENCE STRATEGY ,CLIMATE CHANGE ,POLYGAMY ,DROUGHT - Abstract
Climate change and weather shocks pose major challenges for household income security and well-being, especially for smallholder farmers’ communities. In such communities, imperfect risk insurance and labor markets may induce households to use traditional institutions such as polygyny to harness their size and composition to their resilience strategies against these shocks. This paper tests this hypothesis by analyzing how polygyny’s interaction with droughts affects crop yields. For identification, the paper relies on the spatial variation in polygyny’s prevalence across Mali’s rural communes and the randomness of drought episodes. The findings show that polygynous communities are more resilient to drought-induced crop failure. Exploration of the mechanisms shows that polygynous communities diversify their income sources more than monogamous ones, including via child marriage—a phenomenon known to undermine women’s outcomes. As the literature links polygyny to underdevelopment, interventions to eliminate it should make formal resilience and adaptation strategies available to drought-prone communities. Failure to do so may entrench political opposition to enforcing a ban on polygyny and child marriage.
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- 2021
6. Measure for Measure: Comparing Survey Based Estimates of Income and Consumption for Rural Households
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Carletto, Gero, primary, Tiberti, Marco, additional, and Zezza, Alberto, additional
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- 2021
- Full Text
- View/download PDF
7. Assessing the representativeness of a smartphone-based household travel survey in Dar es Salaam, Tanzania
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Massachusetts Institute of Technology. Department of Urban Studies and Planning, Massachusetts Institute of Technology. Department of Civil and Environmental Engineering, Singapore-MIT Alliance in Research and Technology (SMART), Zegras, P. C, Li, Menghan, Kilic, Talip, Lozano-Gracia, Nancy, Ghorpade, Ajinkya, Tiberti, Marco, Aguilera, Ana I, Zhao, Fang, Massachusetts Institute of Technology. Department of Urban Studies and Planning, Massachusetts Institute of Technology. Department of Civil and Environmental Engineering, Singapore-MIT Alliance in Research and Technology (SMART), Zegras, P. C, Li, Menghan, Kilic, Talip, Lozano-Gracia, Nancy, Ghorpade, Ajinkya, Tiberti, Marco, Aguilera, Ana I, and Zhao, Fang
- Abstract
The household travel survey (HTS) finds itself in the midst of rapid technological change. Traditional methods are increasingly being sidelined by digital devices and computational power—for tracking movements, automatically detecting modes and activities, facilitating data collection, etc.. Smartphones have recently emerged as the latest technological enhancement. FMS is a smartphone-based prompted-recall HTS platform, consisting of an app for sensor data collection, a backend for data processing and inference, and a user interface for verification of inferences (e.g., modes, activities, times, etc.). FMS, has been deployed in several cities of the global north, including Singapore. This paper assesses the first use of FMS in a city of the global south, Dar es Salaam. FMS in Dar was implemented over a 1-month period, among 581 adults chosen from 300 randomly selected households. Individuals were provided phones with data plans and the FMS app preloaded. Verification of the collected data occurred every 3 days, via a phone interview. The experiment reveals various social and technical challenges. Models of individual likelihood to participate suggest little bias. Several socioeconomic and demographic characteristics apparently do influence, however, the number of days fully verified per individual. Similar apparent biases emerge when predicting the likelihood of a given day being verified. Some risk of non-random, non-response is, thus, evident.
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- 2021
8. Recall Length and Measurement Error in Agricultural Surveys
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Wollburg, Philip, Tiberti, Marco, and Zezza, Alberto
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AGRICULTURE ,SURVEY METHODS ,RECALL ,SURVEY DESIGN ,LIVING STANDARDS MEASUREMENT STUDY ,MEASUREMENT - Abstract
This paper assesses the relationship between the length of recall and nonrandom error in agricultural survey data. Using data from the World Bank's Living Standards Measurement Study–Integrated Surveys on Agriculture in Malawi and Tanzania, the paper shows that key input and output variables are systematically related to the length of the recall period, indicating the presence of nonrandom measurement error. With longer recall periods, farmers report greater quantities of harvest, labor, and fertilizer inputs. Farmers list fewer plots as the recall period increases. The paper argues that it is plausible that farmers overestimate plot-level outcomes, or they forget some of their more marginal plots due to longer recall periods. The analysis also finds evidence of measurement error related to the length of recall in common measures of agricultural productivity. The size of the recall effect typically varies between 2 and 5 percent per additional month of recall length, which is economically significant. With data reliability affecting policy effectiveness, improving agricultural survey data quality remains an important concern. Mainstreaming objective measures where possible and reducing the risk of recall error through shorter recall periods appear to be promising avenues to improve the quality of key variables in agricultural surveys.
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- 2020
9. Measure for Measure: Comparing Survey Based Estimates of Income and Consumption for Rural Households.
- Author
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Carletto, Gero, Tiberti, Marco, and Zezza, Alberto
- Subjects
CONSUMPTION (Economics) ,HOUSEHOLD surveys ,MIDDLE-income countries ,HOUSEHOLDS ,DEVELOPING countries - Abstract
This paper uses a large database of surveys of household incomes to characterize income underreporting in household surveys in low- and middle-income countries. The objective is to document (a) the extent of this underreporting, and (b) whether and how it varies systematically with respondent, household, income, and survey design features. Drawing on rural household data from 20 developing and transition countries, and using consumption expenditure as a benchmark, results indicate that the observed income/consumption ratios are very small, being on average around 0.76. Results suggest that income underreporting is systematically associated with household and survey characteristics. In particular, the degree of underreporting is strongly associated with the income source, with agricultural income being the component suffering more than any other components from underreporting. The analysis also provides evidence supporting the well-established proposition that underreporting tends to increase with household welfare: richer households appear to underreport income more. Implications for survey design and for future research are drawn. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
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10. Public Food Procurement: A Systematic Literature Review
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Stefani, Gianluca, Tiberti, Marco, Lombardi, GINEVRA VIRGINIA, Cei, Leonardo, and Sacchi, Giovanna
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0301 basic medicine ,Public procurement ,Food ,Sustainability ,Health ,03 medical and health sciences ,030109 nutrition & dietetics ,public procurement ,food ,health ,sustainability ,public procurement, food, sustainability, health - Abstract
Public food procurement (PFP) is a policy instrument that has been used to “link” different objectives at once. We undertake a first systematic review of the scientific literature that deals with PFP in order to 1.) assess the progress of the scientific literature concerning PFP in different areas of the world, 2.) look for differences among them and try to identify the topics on which these studies focuses the most. Accordingly, our research questions deal with the definition of the main conceptual dimensions developed by the academic literature on PFP as well as with the geographical and temporal differences among the dimensions identified. The first evidence is the increase in the number of papers per year during the last decade. Furthermore, the literature on PFP is centred on the concepts of localisation and structured demand and its impacts on food chain actors, on citizen-consumers and on sustainability at large. As a main research result, we provide a conceptual framework of the PFP literature largely based on the concept of linkage that has been first proposed in law and regulation studies., International Journal on Food System Dynamics, Vol 8, No 4 (2017)
- Published
- 2017
11. Efficiency and Capital Structure in the Italian Cereal Sector
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Tiberti, Marco, Stefani, Gianluca, and Lombardi, Ginevra
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agribusiness, efficiency - Abstract
Farm capital structure may have contrasting effects on farm efficiency as a strand of the farm efficiency literature as pointed out ( for a review see for example Davidova and Latruffe 2007). Farmers often use external funding both to cover productions costs and to finance investments (machinery, equipment, buildings) to enhance farm economic performance. The debt is necessary to maintain or improve farm productivity and competitiveness by adopting technological innovation needed to increase farm efficiency. At the same time leverage may affects farm efficiency by influencing farm production decision constrained by lower farm expenditure capacity. In this case, farms response may rely on reducing the necessary expenditures to maintain the production assets with negative consequences on farm productivity, growth and efficiency. Finally, farm leverage may affects the farms capacity to react to market shocks adopting the needed strategic adjustments to maintain productivity, efficiency and competitiveness. A relevant case study for assessing this last effect would be the recent surge in price volatility that affected European and world cereal markets starting from 2008. The objective of this paper is to provide new empirical evidence on the relationship between farm capital structure and farm efficiency. In particular we will try to answer the following research question: does higher leverage lead to better performance? The food price volatility that has affected the cereal market from 2008 onwards is a possible stress for cereal farms that must adapt to the rapid drop in prices such as the one observed in 2010. Our research provide a first insight on the evolution of the cereal farms debt-technical efficiency relationship in times of high price volatility., Proceedings in Food System Dynamics, 2016: Proceedings in System Dynamics and Innovation in Food Networks 2016
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- 2016
- Full Text
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12. Public Food Procurement: A Systematic Literature Review
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Stefani, Gianluca, Lombardi, Ginevra Virginia, and Tiberti, Marco
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jel:M21 ,Public procurement, Food, Sustainability, Health ,jel:I38 ,jel:H42 - Abstract
The use by governments of their purchasing power to achieve social objectives is a practice that dates back to the 19th centuries when regulations were issued in both the USA and England establishing fair wages or maximum working hours per day for firms working under public contracts (McCrudden,2004). Public food procurement (PFP) is another example of how a policy instrument has been used to “link” different objectives at once. We attempted to undertake a first systematic review of the scientific literature that deals with PFP. The first striking evidence is that the number of papers per year shows an almost exponential growth during the last decade providing support to the relevance of this review. Differently from the literature on Public procurement where the themes of contracting and cost minimisation are prevalent, the literature on PFP is centred on the concepts of localisation and structured demand and its impacts on food chain actors as well as citizen-consumers and on sustainability at large. We provide a conceptual scheme of the PFP literature largely based on the concept of linkage that has been first proposed in law and regulation studies and is declined in a rather specific fashion in this field of public procurement.
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- 2015
13. Multiperiod optimal hedging ratios: Methodological aspects and application to wheat markets
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Gianluca, Stefani and Tiberti, Marco
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Risk and Uncertainty - Abstract
This work deals with methodological and empirical issues related to multiperiod optimal hedging OLS estimators. We propose an analytical formula for the multiperiod minimum variance hedging ratio starting from the triangular representation of a cointegrated system DGP. Since estimating the hedge ratio matching the frequency of data with the hedging horizon leads to a sample size reduction problem, we carry out a Monte Carlo study to investigate the pattern and hedging efficiency of OLS hedging ratio based on overlapping vs non-overlapping observations exploring a range of hedging horizons and sample sizes. Finally, we applied our approach to real data for a cross hedging related to soft wheat.
- Published
- 2014
14. Synchronisation control of electric motors through adaptive disturbance cancellation
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Ciro Natale, Patrizio Tomei, Cristiano Maria Verrelli, Alessandro Lidozzi, Salvatore Pirozzi, Danilo Diaferia, Marco Tiberti, Stefano Bifaretti, Verrelli, Cristiano Maria, Pirozzi, Salvatore, Tomei, Patrizio, Natale, Ciro, Bifaretti, Stefano, Lidozzi, Alessandro, Tiberti, Marco, and Diaferia, Danilo
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Electric motor ,0209 industrial biotechnology ,Engineering ,adaptive disturbance cancellation ,02 engineering and technology ,Nonlinear control ,DC motor ,Signal ,law.invention ,020901 industrial engineering & automation ,Settore ING-INF/04 - Automatica ,law ,Position (vector) ,Control theory ,permanent magnet synchronous motor ,0202 electrical engineering, electronic engineering, information engineering ,Settore ING-IND/32 - Convertitori, Macchine e Azionamenti Elettrici ,DC motors ,Angular frequency ,Master–slave synchronisation ,permanent magnet synchronous motors ,Control and Systems Engineering ,output feedback ,Rotor (electric) ,business.industry ,Computer Science Applications1707 Computer Vision and Pattern Recognition ,Computer Science Applications ,A priori and a posteriori ,020201 artificial intelligence & image processing ,business - Abstract
A master–slave synchronisation control problem is addressed for current-fed DC and permanent magnet synchronous motors with all uncertain parameters. A measurable exogenous rotor position reference signal, which belongs to the class of biased sinusoidal signals with uncertain bias, amplitude, angular frequency, phase, is to be tracked without assuming its a priori knowledge. An innovative modification of disturbance cancellation techniques allows to prove that an output feedback adaptive nonlinear control scheme, which simply generalises the classical internal-model-based input law, solves the aforementioned problem, with an overall stability proof concerning the entire closed-loop system. The practical effectiveness of the proposed approach is illustrated by experimental results.
- Published
- 2016
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