Documents et rapports
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Comparative Analysis of AI-Predicted and Crowdsourced Food Prices in an Economically Volatile Region (anglais)
High-frequency monitoring of food commodity prices is important for assessing and responding to shocks, especially in fragile contexts where timely and targeted interventions for food security are critical...
Type de document: Document de travail de recherche sur les politiques Numéro du rapport: WPS10758 Date du document: 23 avril 2024 Mode de publication: Disclosed Auteur: Adewopo,Julius Babatunde,Andree,Bo Pieter Johannes,Peter,Helen,Solano-Hermosilla,Gloria,Micale,Fabio
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Machine Learning Imputation of High Frequency Price Surveys in Papua New Guinea (anglais)
Capabilities to track fast-moving economic developments re-main limited in many regions of the developing world. This complicates prioritizing policies aimed at supporting vulnerable populations. To gain...
Type de document: Document de travail de recherche sur les politiques Numéro du rapport: WPS10559 Date du document: 5 septembre 2023 Mode de publication: Disclosed Auteur: Andree,Bo Pieter Johannes,Pape,Utz Johann
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Pacific Islands - Pacific Observatory : Monitoring Economic Activity by Nighttime Light Data - Nighttime Lights : Application for the Pacific (anglais)
This note provides a deep dive into the quality of nighttime lights (NTL) data for Pacific Island Countries (PICs). It explores their potential to generate and complement regional socio-economic statistics...
Type de document: Rapport Numéro du rapport: AUS0003299 Date du document: 19 avril 2023 Mode de publication: Disclosed Auteur: Chamorro Elizondo,Andres Fernando,Ben Stewart,Andree,Bo Pieter Johannes
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Can Co-Deployment of Machine Learning and High-Frequency Surveys Produce Reliable Real-Time Data in Data-Scarce Regions? (anglais)
Capabilities to track fast-moving economic developments remain limited in many regions of the developing world. This makes assessing changes in the development context difficult, and complicates prioritizing...
Type de document: Rapport Numéro du rapport: 181630 Date du document: 2 février 2023 Mode de publication: Disclosed Auteur: Andree,Bo Pieter Johannes,Pape,Utz Johann
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Machine Learning Guided Outlook of Global Food Insecurity Consistent with Macroeconomic Forecasts (anglais)
Motivated by the deterioration in global food security conditions, this paper develops a parsimonious machine learning model to derive a multi-year outlook of global severe food insecurity from macro-economic...
Type de document: Document de travail de recherche sur les politiques Numéro du rapport: WPS10202 Date du document: 11 octobre 2022 Mode de publication: Disclosed Auteur: Andree,Bo Pieter Johannes
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Estimating Food Price Inflation from Partial Surveys (anglais)
The traditional consumer price index is often produced at an aggregate level, using data from few, highly urbanized, areas. As such, it poorly describes price trends in rural or poverty-stricken areas...
Type de document: Document de travail de recherche sur les politiques Numéro du rapport: WPS9886 Date du document: 16 décembre 2021 Mode de publication: Disclosed Auteur: Andree,Bo Pieter Johannes
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Stochastic Modeling of Food Insecurity (anglais)
Recent advances in food insecurity classification have made analytical approaches to predict and inform response to food crises possible. This paper develops a predictive, statistical framework to identify...
Type de document: Document de travail de recherche sur les politiques Numéro du rapport: WPS9413 Date du document: 22 septembre 2020 Mode de publication: Disclosed Auteur: Wang,Dieter,Andree,Bo Pieter Johannes,Chamorro Elizondo,Andres Fernando,Spencer,Phoebe Girouard
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Predicting Food Crises (anglais)
Globally, more than 130 million people are estimated to be in food crisis. These humanitarian disasters are associated with severe impacts on livelihoods that can reverse years of development gains. The...
Type de document: Document de travail de recherche sur les politiques Numéro du rapport: WPS9412 Date du document: 22 septembre 2020 Mode de publication: Disclosed Auteur: Andree,Bo Pieter Johannes,Chamorro Elizondo,Andres Fernando,Kraay,Aart C.,Spencer,Phoebe Girouard,Wang,Dieter
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Incidence of COVID-19 and Connections with Air Pollution Exposure : Evidence from the Netherlands (anglais)
The fast spread of severe acute respiratory syndrome coronavirus 2 has resulted in the emergence of several hot-spots around the world. Several of these are located in areas associated with high levels...
Type de document: Document de travail de recherche sur les politiques Numéro du rapport: WPS9221 Date du document: 24 avril 2020 Mode de publication: Disclosed Auteur: Andree,Bo Pieter Johannes
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Environment and Development : Penalized Non-Parametric Inference of Global Trends in Deforestation, Pollution and Carbon (anglais)
This paper revisits the issue of environment and development raised in the 1992 World Development Report, with new analysis tools and data. The paper discusses inference and interpretation in a machine...
Type de document: Document de travail de recherche sur les politiques Numéro du rapport: WPS8756 Date du document: 25 février 2019 Mode de publication: Disclosed Auteur: Andree,Bo Pieter Johannes,Spencer,Phoebe Girouard,Chamorro,Andres,Dogo,Harun
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Pollution and Expenditures in a Penalized Vector Spatial Autoregressive Time Series Model with Data-Driven Networks (anglais)
This paper introduces a Spatial Vector Autoregressive Moving Average (SVARMA) model in which multiple cross-sectional time series are modeled as multivariate, possibly fat-tailed, spatial autoregressive...
Type de document: Document de travail de recherche sur les politiques Numéro du rapport: WPS8757 Date du document: 25 février 2019 Mode de publication: Disclosed Auteur: Andree,Bo Pieter Johannes,Spencer,Phoebe Girouard,Azari,Sardar,Chamorro,Andres,Wang,Dieter,Dogo,Harun