Using Satellite Imagery And Deep Learning To Evaluate The Impact Of Anti Poverty Programs
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Econometrics with Machine Learning
Author | : Felix Chan |
Publisher | : Springer Nature |
Total Pages | : 385 |
Release | : 2022-09-07 |
Genre | : Business & Economics |
ISBN | : 3031151496 |
This book helps and promotes the use of machine learning tools and techniques in econometrics and explains how machine learning can enhance and expand the econometrics toolbox in theory and in practice. Throughout the volume, the authors raise and answer six questions: 1) What are the similarities between existing econometric and machine learning techniques? 2) To what extent can machine learning techniques assist econometric investigation? Specifically, how robust or stable is the prediction from machine learning algorithms given the ever-changing nature of human behavior? 3) Can machine learning techniques assist in testing statistical hypotheses and identifying causal relationships in ‘big data? 4) How can existing econometric techniques be extended by incorporating machine learning concepts? 5) How can new econometric tools and approaches be elaborated on based on machine learning techniques? 6) Is it possible to develop machine learning techniques further and make them even more readily applicable in econometrics? As the data structures in economic and financial data become more complex and models become more sophisticated, the book takes a multidisciplinary approach in developing both disciplines of machine learning and econometrics in conjunction, rather than in isolation. This volume is a must-read for scholars, researchers, students, policy-makers, and practitioners, who are using econometrics in theory or in practice.
Targeting vulnerability hotspots along the agrifood system
Author | : Letta, M. |
Publisher | : Food & Agriculture Org. [Author] [Author] |
Total Pages | : 60 |
Release | : 2024-05-29 |
Genre | : Technology & Engineering |
ISBN | : 9251388237 |
We leverage the multi-stressor nature of the COVID-19 generalized disruption as an opportunity to test the out-of-sample forecasting accuracy of both theory-based and data-driven vulnerability prediction models for the ex ante targeting of preventive interventions. [Author] Taking advantage of the World Bank multitopic surveys for Ethiopia and Nigeria, the two most populous African countries, our retrospective evaluation assesses the models’ ability to anticipate households and agrifood system actors experiencing food insecurity and income losses during the COVID-19 pandemic. [Author] The results are disappointing: we document that, despite considerable heterogeneity across data and methods, both models do not achieve satisfactory out-of-sample forecasting performances. [Author] Our findings are robust to the use of different data, estimation methods, and several heterogeneity analyses and sensitivity checks. [Author] This evidence calls for a refinement of current profiling methodologies and for interoperability efforts to close existing microdata gaps. [Author] Such efforts would enable policymakers to implement more effective early-warning systems of vulnerability hotspots and improve the cost-effectiveness of development interventions aimed at targeting groups vulnerable to future food crises. [Author]
Mapping the Spatial Distribution of Poverty Using Satellite Imagery in the Philippines
Author | : Asian Development Bank |
Publisher | : Asian Development Bank |
Total Pages | : 159 |
Release | : 2021-03-01 |
Genre | : Business & Economics |
ISBN | : 9292621327 |
The “leave no one behind” principle of the 2030 Agenda for Sustainable Development requires appropriate indicators for different segments of a country’s population. This entails detailed, granular data on population groups that extend beyond national trends and averages. The Asian Development Bank, in collaboration with the Philippine Statistics Authority and the World Data Lab, conducted a feasibility study to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in the Philippines. This report documents the results of the study, which capitalized on satellite imagery, geospatial data, and powerful machine learning algorithms to augment conventional data collection and sample survey techniques.
Bulletin of the Atomic Scientists
Author | : |
Publisher | : |
Total Pages | : 88 |
Release | : 1961-05 |
Genre | : |
ISBN | : |
The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.
National Accounts at a Glance 2014
Author | : OECD |
Publisher | : OECD Publishing |
Total Pages | : 146 |
Release | : 2014-04-11 |
Genre | : |
ISBN | : 926420685X |
National Accounts at a Glance presents information using an "indicator" approach, focusing on cross-country comparisons.
Geographical Targeting for Poverty Alleviation
Author | : David Bigman |
Publisher | : World Bank Publications |
Total Pages | : 328 |
Release | : 2000-01-01 |
Genre | : Political Science |
ISBN | : 9780821346259 |
.."in many developing countries, there are large differences in economic conditions and the standard of living between regions, and even between communities within the same region. In many countries, poverty has a clear geographic dimension, since the poor are often concentrated in pockets of poverty. Therefore, the design of poverty alleviation policies must also have a signficant spatial component." Although development projects are carefully designed and meticulously evaluated for cost effectiveness and benefits, too many of them are not sufficiently targeted geographically. The growing availability and use of spatial data, organized in a computer system such as a geographical information system (GIS), makes it more feasible to analyze the impact of projects in specific locales and to achieve more effective targeting. 'Geographical Targeting for Poverty Alleviation' introduces the basic concepts of a GIS. It also demonstrates how to organize geographic and nongeographic data. In addition, it presents different methods for using the data of the Household Income and Expenditure Survey, together with other surveys and the population census, to provide estimates for the standard of living and the incidence of poverty incidence in different geographical areas of a country. Ultimately, these estimates should be used to establish guidelines for targeting poverty alleviation projects. This publication illustrates different GIS applications for identifying the project's target population, determining the project's spatial 'sphere of influence' or deciding where to locate public facilities. This publication is of interest to task managers, economists, development researchers, and geographers.
Introduction to Small Area Estimation Techniques
Author | : Asian Development Bank |
Publisher | : Asian Development Bank |
Total Pages | : 152 |
Release | : 2020-05-01 |
Genre | : Business & Economics |
ISBN | : 9292622234 |
This guide to small area estimation aims to help users compile more reliable granular or disaggregated data in cost-effective ways. It explains small area estimation techniques with examples of how the easily accessible R analytical platform can be used to implement them, particularly to estimate indicators on poverty, employment, and health outcomes. The guide is intended for staff of national statistics offices and for other development practitioners. It aims to help them to develop and implement targeted socioeconomic policies to ensure that the vulnerable segments of societies are not left behind, and to monitor progress toward the Sustainable Development Goals.
From Poverty to Power
Author | : Duncan Green |
Publisher | : Oxfam |
Total Pages | : 540 |
Release | : 2008 |
Genre | : Social Science |
ISBN | : 0855985933 |
Offers a look at the causes and effects of poverty and inequality, as well as the possible solutions. This title features research, human stories, statistics, and compelling arguments. It discusses about the world we live in and how we can make it a better place.