Siobhan Murray - Academia.edu (original) (raw)
Papers by Siobhan Murray
World Bank, Washington, DC eBooks, Mar 1, 2016
The Policy Research Working Paper Series disseminates the findings of work in progress to encoura... more The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.
The World Bank eBooks, May 8, 2009
The Policy Research Working Paper Series disseminates the findings of work in progress to encoura... more The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.
The World Bank eBooks, Oct 1, 2013
Agricultural commercialization, or the transition from food to cash crops, has gained increasing ... more Agricultural commercialization, or the transition from food to cash crops, has gained increasing attention over the past few decades. Plans for developing world farmers to focus on labor-intensive cash crops, to exploit their natural comparative advantage, typically depend on stable food markets to supply these formerly subsistence households. The trade-off between cash and food crop production requires reevaluation in the context of numerous food price spikes and general food price increases experienced globally over the last decade. Discovery of a correlation between Malawian cash crop production and low nutritional health outcomes creates questions of the traditional development path. This paper clarifies the causal effect behind that negative relationship. A nationally representative data set and the 2002-2003 Malawian domestic food crisis allow for time-specific comparisons between the health of children in utero during stable and increasing food price markets. Identifying children exposed to in utero food shocks is the first step to explaining the recent changes in the nutritional outcomes of cash crop producers. Estimates of the effects of Malawian crop adoption on children's health are obtained using robust inference techniques. The causal effects of cash crop production are identified by instrumenting endogenous adoption decisions with predetermined variables. The findings show children of cash crop farmers experienced disproportionately negative effects if they were in utero during the food price shock. The results support the argument that food price shocks negatively influence those more reliant on the market for food purchases, suggesting the need for targeting small scale commercial farmers during times of staple food price spikes.
Journal of Official Statistics, May 8, 2014
Livestock are an important component of rural livelihoods in developing countries, but data about... more Livestock are an important component of rural livelihoods in developing countries, but data about this source of income and wealth are difficult to collect due to the nomadic and seminomadic nature of many pastoralist populations. Most household surveys exclude those without permanent dwellings, leading to undercoverage. In this study, we explore the use of a random geographic cluster sample (RGCS) as an alternative to the household-based sample. In this design, points are randomly selected and all eligible respondents found inside circles drawn around the selected points are interviewed. This approach should eliminate undercoverage of mobile populations. We present results of an RGCS survey with a total sample size of 784 households to measure livestock ownership in the Afar region of Ethiopia in 2012. We explore the RGCS data quality relative to a recent household survey, and discuss the implementation challenges.
Climatic Change, Dec 14, 2010
An increase in sea surface temperature is strongly evident at all latitudes and in all oceans. Th... more An increase in sea surface temperature is strongly evident at all latitudes and in all oceans. The scientific evidence to date suggests that increased sea surface temperature will intensify cyclone activity and heighten storm surges. The paper assesses the exposure of (coastal) developing countries to sea-level rise and the intensification of storm surges. Geographic Information System (GIS) software is used to overlay the best available, spatially-disaggregated global data on critical exposed elements (land, population, GDP, agricultural extent and wetlands) with the inundation zones projected with heightened storm surges and a 1 m sea-level rise. Country-level results indicate a significant increase in exposure of developing countries to these climate-induced changes.
International Regional Science Review, Jan 22, 2018
The overarching message from the growth literature is that a transition from the lowproductivity ... more The overarching message from the growth literature is that a transition from the lowproductivity agricultural sector to the high-productivity manufacturing sector is necessary for structural change. Although sub-Saharan Africa has experienced substantial economic growth rates, rural-urban migration contributed very little to this progress. Migration to peri-urban areas may offer prospects for diversification out of agriculture with lower moving costs and job-search frictions than urban centers. We document migration patterns and worker selection into peri-urban and urban areas in Tanzania. Standard spatial classifications mask the prominent phenomenon of peri-urban (rather than rural) to urban migration. Lacking job experience and social networks, many youth moving to urban destinations are more likely to be unemployed. However, conditional on being employed over the two-year period of the study, migration to peri-urban as well as urban areas allows workers to transition from low-to high-valued occupations.
World Bank policy research working paper, Nov 30, 2021
This paper quantifies the significance and magnitude of the effect of measurement error in remote... more This paper quantifies the significance and magnitude of the effect of measurement error in remote sensing weather data in the analysis of smallholder agricultural productivity. The analysis leverages 17 rounds of nationally-representative, panel household survey data from six countries in Sub-Saharan Africa. These data are spatially-linked with a range of geospatial weather data sources and related metrics. We provide systematic evidence on measurement error introduced by 1) different methods used to obfuscate the exact GPS coordinates of households, 2) different metrics used to quantify precipitation and temperature, and 3) different remote sensing measurement technologies. First, we find no discernible effect of measurement error introduced by different obfuscation methods. Second, we find that simple weather metrics, such as total seasonal rainfall and mean daily temperature, outperform more complex metrics, such as deviations in rainfall from the long-run average or growing degree days, in a broad range of settings. Finally, we find substantial amounts of measurement error based on remote sensing product. In extreme cases, data drawn from different remote sensing products result in opposite signs for coefficients on weather metrics, meaning that precipitation or temperature draw from one product purportedly increases crop output while the same metrics drawn from a different product purportedly reduces crop output. We conclude with a set of six best practices for researchers looking to combine remote sensing weather data with socioeconomic survey data.
The World Bank eBooks, Sep 1, 2013
The Policy Research Working Paper Series disseminates the findings of work in progress to encoura... more The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.
Statistical journal of the IAOS, Aug 19, 2017
International best practice on survey design recommends using a complete listing to develop the s... more International best practice on survey design recommends using a complete listing to develop the second-stage sampling frame for a household survey. In certain contexts, though, this approach may not be practical or possible due to concerns ranging from cost to security. This paper focuses specifically on security constraints encountered during the planning of a survey in Mogadishu, Somalia. The paper develops an artificial census for three neighborhoods based on data from the Mogadishu High Frequency Survey. Simulation models are then used to select individual dwellings to examine the implications of the choice of second stage selection methodology on bias and variance. Among the other findings, the simulations show that the bias introduced by a random walk design leads to the underestimation of the number of households in poverty by approximately 10 percent, with unweighted random point selection design leading to overestimation of a similar magnitude. The paper also discusses the time required and technical complexity of the associated back-office preparation work and weight calculations for each method. The paper concludes by considering practicality of each method, including the ease of implementation and options for remote verification, and outlines areas for future research and pilot testing.
Journal of Development Economics
When publishing socioeconomic survey data, survey programs implement a variety of statistical met... more When publishing socioeconomic survey data, survey programs implement a variety of statistical methods designed to preserve privacy but which come at the cost of distorting the data. We explore the extent to which spatial anonymization methods to preserve privacy in the large-scale surveys supported by the World Bank Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA) introduce measurement error in econometric estimates when that survey data is integrated with remote sensing weather data. Guided by a pre-analysis plan, we produce 90 linked weather-household datasets that vary by the spatial anonymization method and the remote sensing weather product. By varying the data along with the econometric model we quantify the magnitude and significance of measurement error coming from the loss of accuracy that results from protect privacy measures. We find that spatial anonymization techniques currently in general use have, on average, limited to no impact on estimates of the relationship between weather and agricultural productivity. However, the degree to which spatial anonymization introduces mismeasurement is a function of which remote sensing weather product is used in the analysis. We conclude that care must be taken in choosing a remote sensing weather product when looking to integrate it with publicly available survey data.
World Bank, Washington, DC, 2015
of the Proposed Methodology The foundation of the proposed methodology is a consistent downscalin... more of the Proposed Methodology The foundation of the proposed methodology is a consistent downscaling of projected climatic changes from a multiplicity of General Circulation to local levels. Subsets of the suite of downscaled climatic factors are then to be used to estimate the vector of impacts on key economic sectors of each country, using sector-specific impact assessment models. Based on this information, alternative government adaptation projects will be specified and optimally chosen subject to a government budget constraint. Thereafter, direct impacts of climate change will serve as inputs into a macroeconomic framework to examine the indirect intersectoral impacts of climate change as well as adaption strategies. Finally, at each step the analysis will be complemented with perspectives and insights of people whose livelihoods are being or will be affected by changes in climate. Impacts of the climate change and the benefits of specific adaptation measures will be examined in t...
American Journal of Agricultural Economics, 2019
Understanding the determinants of agricultural productivity requires accurate measurement of crop... more Understanding the determinants of agricultural productivity requires accurate measurement of crop output and yield. In smallholder production systems across low‐ and middle‐income countries, crop yields have traditionally been assessed based on farmer‐reported production and land areas in household/farm surveys, occasionally by objective crop cuts for a sub‐section of a farmer's plot, and rarely using full‐plot harvests. In parallel, satellite data continue to improve in terms of spatial, temporal, and spectral resolution needed to discern performance on smallholder plots. This study evaluates ground‐ and satellite‐based approaches to estimating crop yields and yield responsiveness to inputs, using data on maize from Eastern Uganda. Using unique, simultaneous ground data on yields based on farmer reporting, sub‐plot crop cutting, and full‐plot harvests across hundreds of smallholder plots, we document large discrepancies among the ground‐based measures, particularly among yields...
Journal of Official Statistics, 2014
Livestock are an important component of rural livelihoods in developing countries, but data about... more Livestock are an important component of rural livelihoods in developing countries, but data about this source of income and wealth are difficult to collect due to the nomadic and seminomadic nature of many pastoralist populations. Most household surveys exclude those without permanent dwellings, leading to undercoverage. In this study, we explore the use of a random geographic cluster sample (RGCS) as an alternative to the household-based sample. In this design, points are randomly selected and all eligible respondents found inside circles drawn around the selected points are interviewed. This approach should eliminate undercoverage of mobile populations. We present results of an RGCS survey with a total sample size of 784 households to measure livestock ownership in the Afar region of Ethiopia in 2012. We explore the RGCS data quality relative to a recent household survey, and discuss the implementation challenges.
Policy Research Working Papers, 2013
The Policy Research Working Paper Series disseminates the findings of work in progress to encoura... more The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.
An increase in sea surface temperature is evident at all latitudes and in all oceans. The current... more An increase in sea surface temperature is evident at all latitudes and in all oceans. The current understanding is that ocean warming plays a major role in intensified cyclone activity and heightened storm surges. The vulnerability of coastlines to intensified storm surges can be ascertained by overlaying Geographic Information System information with data on land, population density, agriculture, urban extent, major cities, wetlands, and gross domestic product for inundation zones likely to experience more intense storms and a 1 meter sealevel rise. The results show severe impacts are likely to be limited to a relatively small number of countries and a cluster of large cities at the low end of the international income distribution. This paper—a product of the Environment and Energy Team, Development Research Group—is part of a larger effort
This book provides analyses of datasets at the global, national, and sub-national levels, and dra... more This book provides analyses of datasets at the global, national, and sub-national levels, and draws on published and unpublished scientific studies. It develops selected indicators that describe the condition of the world's forests, where condition is defined as the current and future ...
World Bank, Washington, DC eBooks, Mar 1, 2016
The Policy Research Working Paper Series disseminates the findings of work in progress to encoura... more The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.
The World Bank eBooks, May 8, 2009
The Policy Research Working Paper Series disseminates the findings of work in progress to encoura... more The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.
The World Bank eBooks, Oct 1, 2013
Agricultural commercialization, or the transition from food to cash crops, has gained increasing ... more Agricultural commercialization, or the transition from food to cash crops, has gained increasing attention over the past few decades. Plans for developing world farmers to focus on labor-intensive cash crops, to exploit their natural comparative advantage, typically depend on stable food markets to supply these formerly subsistence households. The trade-off between cash and food crop production requires reevaluation in the context of numerous food price spikes and general food price increases experienced globally over the last decade. Discovery of a correlation between Malawian cash crop production and low nutritional health outcomes creates questions of the traditional development path. This paper clarifies the causal effect behind that negative relationship. A nationally representative data set and the 2002-2003 Malawian domestic food crisis allow for time-specific comparisons between the health of children in utero during stable and increasing food price markets. Identifying children exposed to in utero food shocks is the first step to explaining the recent changes in the nutritional outcomes of cash crop producers. Estimates of the effects of Malawian crop adoption on children's health are obtained using robust inference techniques. The causal effects of cash crop production are identified by instrumenting endogenous adoption decisions with predetermined variables. The findings show children of cash crop farmers experienced disproportionately negative effects if they were in utero during the food price shock. The results support the argument that food price shocks negatively influence those more reliant on the market for food purchases, suggesting the need for targeting small scale commercial farmers during times of staple food price spikes.
Journal of Official Statistics, May 8, 2014
Livestock are an important component of rural livelihoods in developing countries, but data about... more Livestock are an important component of rural livelihoods in developing countries, but data about this source of income and wealth are difficult to collect due to the nomadic and seminomadic nature of many pastoralist populations. Most household surveys exclude those without permanent dwellings, leading to undercoverage. In this study, we explore the use of a random geographic cluster sample (RGCS) as an alternative to the household-based sample. In this design, points are randomly selected and all eligible respondents found inside circles drawn around the selected points are interviewed. This approach should eliminate undercoverage of mobile populations. We present results of an RGCS survey with a total sample size of 784 households to measure livestock ownership in the Afar region of Ethiopia in 2012. We explore the RGCS data quality relative to a recent household survey, and discuss the implementation challenges.
Climatic Change, Dec 14, 2010
An increase in sea surface temperature is strongly evident at all latitudes and in all oceans. Th... more An increase in sea surface temperature is strongly evident at all latitudes and in all oceans. The scientific evidence to date suggests that increased sea surface temperature will intensify cyclone activity and heighten storm surges. The paper assesses the exposure of (coastal) developing countries to sea-level rise and the intensification of storm surges. Geographic Information System (GIS) software is used to overlay the best available, spatially-disaggregated global data on critical exposed elements (land, population, GDP, agricultural extent and wetlands) with the inundation zones projected with heightened storm surges and a 1 m sea-level rise. Country-level results indicate a significant increase in exposure of developing countries to these climate-induced changes.
International Regional Science Review, Jan 22, 2018
The overarching message from the growth literature is that a transition from the lowproductivity ... more The overarching message from the growth literature is that a transition from the lowproductivity agricultural sector to the high-productivity manufacturing sector is necessary for structural change. Although sub-Saharan Africa has experienced substantial economic growth rates, rural-urban migration contributed very little to this progress. Migration to peri-urban areas may offer prospects for diversification out of agriculture with lower moving costs and job-search frictions than urban centers. We document migration patterns and worker selection into peri-urban and urban areas in Tanzania. Standard spatial classifications mask the prominent phenomenon of peri-urban (rather than rural) to urban migration. Lacking job experience and social networks, many youth moving to urban destinations are more likely to be unemployed. However, conditional on being employed over the two-year period of the study, migration to peri-urban as well as urban areas allows workers to transition from low-to high-valued occupations.
World Bank policy research working paper, Nov 30, 2021
This paper quantifies the significance and magnitude of the effect of measurement error in remote... more This paper quantifies the significance and magnitude of the effect of measurement error in remote sensing weather data in the analysis of smallholder agricultural productivity. The analysis leverages 17 rounds of nationally-representative, panel household survey data from six countries in Sub-Saharan Africa. These data are spatially-linked with a range of geospatial weather data sources and related metrics. We provide systematic evidence on measurement error introduced by 1) different methods used to obfuscate the exact GPS coordinates of households, 2) different metrics used to quantify precipitation and temperature, and 3) different remote sensing measurement technologies. First, we find no discernible effect of measurement error introduced by different obfuscation methods. Second, we find that simple weather metrics, such as total seasonal rainfall and mean daily temperature, outperform more complex metrics, such as deviations in rainfall from the long-run average or growing degree days, in a broad range of settings. Finally, we find substantial amounts of measurement error based on remote sensing product. In extreme cases, data drawn from different remote sensing products result in opposite signs for coefficients on weather metrics, meaning that precipitation or temperature draw from one product purportedly increases crop output while the same metrics drawn from a different product purportedly reduces crop output. We conclude with a set of six best practices for researchers looking to combine remote sensing weather data with socioeconomic survey data.
The World Bank eBooks, Sep 1, 2013
The Policy Research Working Paper Series disseminates the findings of work in progress to encoura... more The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.
Statistical journal of the IAOS, Aug 19, 2017
International best practice on survey design recommends using a complete listing to develop the s... more International best practice on survey design recommends using a complete listing to develop the second-stage sampling frame for a household survey. In certain contexts, though, this approach may not be practical or possible due to concerns ranging from cost to security. This paper focuses specifically on security constraints encountered during the planning of a survey in Mogadishu, Somalia. The paper develops an artificial census for three neighborhoods based on data from the Mogadishu High Frequency Survey. Simulation models are then used to select individual dwellings to examine the implications of the choice of second stage selection methodology on bias and variance. Among the other findings, the simulations show that the bias introduced by a random walk design leads to the underestimation of the number of households in poverty by approximately 10 percent, with unweighted random point selection design leading to overestimation of a similar magnitude. The paper also discusses the time required and technical complexity of the associated back-office preparation work and weight calculations for each method. The paper concludes by considering practicality of each method, including the ease of implementation and options for remote verification, and outlines areas for future research and pilot testing.
Journal of Development Economics
When publishing socioeconomic survey data, survey programs implement a variety of statistical met... more When publishing socioeconomic survey data, survey programs implement a variety of statistical methods designed to preserve privacy but which come at the cost of distorting the data. We explore the extent to which spatial anonymization methods to preserve privacy in the large-scale surveys supported by the World Bank Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA) introduce measurement error in econometric estimates when that survey data is integrated with remote sensing weather data. Guided by a pre-analysis plan, we produce 90 linked weather-household datasets that vary by the spatial anonymization method and the remote sensing weather product. By varying the data along with the econometric model we quantify the magnitude and significance of measurement error coming from the loss of accuracy that results from protect privacy measures. We find that spatial anonymization techniques currently in general use have, on average, limited to no impact on estimates of the relationship between weather and agricultural productivity. However, the degree to which spatial anonymization introduces mismeasurement is a function of which remote sensing weather product is used in the analysis. We conclude that care must be taken in choosing a remote sensing weather product when looking to integrate it with publicly available survey data.
World Bank, Washington, DC, 2015
of the Proposed Methodology The foundation of the proposed methodology is a consistent downscalin... more of the Proposed Methodology The foundation of the proposed methodology is a consistent downscaling of projected climatic changes from a multiplicity of General Circulation to local levels. Subsets of the suite of downscaled climatic factors are then to be used to estimate the vector of impacts on key economic sectors of each country, using sector-specific impact assessment models. Based on this information, alternative government adaptation projects will be specified and optimally chosen subject to a government budget constraint. Thereafter, direct impacts of climate change will serve as inputs into a macroeconomic framework to examine the indirect intersectoral impacts of climate change as well as adaption strategies. Finally, at each step the analysis will be complemented with perspectives and insights of people whose livelihoods are being or will be affected by changes in climate. Impacts of the climate change and the benefits of specific adaptation measures will be examined in t...
American Journal of Agricultural Economics, 2019
Understanding the determinants of agricultural productivity requires accurate measurement of crop... more Understanding the determinants of agricultural productivity requires accurate measurement of crop output and yield. In smallholder production systems across low‐ and middle‐income countries, crop yields have traditionally been assessed based on farmer‐reported production and land areas in household/farm surveys, occasionally by objective crop cuts for a sub‐section of a farmer's plot, and rarely using full‐plot harvests. In parallel, satellite data continue to improve in terms of spatial, temporal, and spectral resolution needed to discern performance on smallholder plots. This study evaluates ground‐ and satellite‐based approaches to estimating crop yields and yield responsiveness to inputs, using data on maize from Eastern Uganda. Using unique, simultaneous ground data on yields based on farmer reporting, sub‐plot crop cutting, and full‐plot harvests across hundreds of smallholder plots, we document large discrepancies among the ground‐based measures, particularly among yields...
Journal of Official Statistics, 2014
Livestock are an important component of rural livelihoods in developing countries, but data about... more Livestock are an important component of rural livelihoods in developing countries, but data about this source of income and wealth are difficult to collect due to the nomadic and seminomadic nature of many pastoralist populations. Most household surveys exclude those without permanent dwellings, leading to undercoverage. In this study, we explore the use of a random geographic cluster sample (RGCS) as an alternative to the household-based sample. In this design, points are randomly selected and all eligible respondents found inside circles drawn around the selected points are interviewed. This approach should eliminate undercoverage of mobile populations. We present results of an RGCS survey with a total sample size of 784 households to measure livestock ownership in the Afar region of Ethiopia in 2012. We explore the RGCS data quality relative to a recent household survey, and discuss the implementation challenges.
Policy Research Working Papers, 2013
The Policy Research Working Paper Series disseminates the findings of work in progress to encoura... more The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.
An increase in sea surface temperature is evident at all latitudes and in all oceans. The current... more An increase in sea surface temperature is evident at all latitudes and in all oceans. The current understanding is that ocean warming plays a major role in intensified cyclone activity and heightened storm surges. The vulnerability of coastlines to intensified storm surges can be ascertained by overlaying Geographic Information System information with data on land, population density, agriculture, urban extent, major cities, wetlands, and gross domestic product for inundation zones likely to experience more intense storms and a 1 meter sealevel rise. The results show severe impacts are likely to be limited to a relatively small number of countries and a cluster of large cities at the low end of the international income distribution. This paper—a product of the Environment and Energy Team, Development Research Group—is part of a larger effort
This book provides analyses of datasets at the global, national, and sub-national levels, and dra... more This book provides analyses of datasets at the global, national, and sub-national levels, and draws on published and unpublished scientific studies. It develops selected indicators that describe the condition of the world's forests, where condition is defined as the current and future ...