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|a Data-driven decision making in fragile contexts :
|b evidence from Sudan /
|c Aexander Hamilton and Craig Hammer, editors.
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|a Washington, DC :
|b World Bank Group,
|c [2017]
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|c ©2017
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|a 1 online resource (xxii, 200 pages) :
|b color illustrations
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|a text
|b txt
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|a data file
|2 rda
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|a Directions in development. Public sector governance
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|a The need for evidence-based decision making at all levels of government is perhaps greatest in fragile settings. Data deficiencies contribute to state fragility and exacerbate constraints on the capacity to provide basic services, public security, and the rule of law. The lack of robust, good-quality data can also have a disabling effect on government efforts to manage political conflict. Indeed, the lack of data can worsen conflict, since violent settings pose substantial challenges to knowledge generation, capture, and application. The development of sustainable and professional data-literate stakeholders who are able to produce and increase the quality and accessibility of official statistics can help to improve development outcomes. Good quality and reliable statistics are required to track the progress of development policies through the monitoring of performance indicators and targets and to ensure that public resources are achieving results. Although reliable data alone cannot have a transformative effect without the right contextual incentives, they constitute an essential prerequisite for greater accountability and more efficient decision making. This publication explores methods and insights for data collection and use in fragile contexts, with a focus on findings from Sudan. It begins by posing several questions on the political economy of data and then sets out a framework for assessing the validity, reliability, and potential impact of data on decision making in fragile settings. It then provides insights regarding the challenges associated with data-driven decision making in Sudan, derived from the 2014-15 United Kingdom's Department for International Development Sudanese household survey. Featured are data-driven analyses of diverse topics, from public service delivery to the interplay of governance, trust, and state legitimacy. As the data revolution and the advent of the Sustainable Development Goals herald an increasing need to solicit the perceptions and experiences of program beneficiaries, the impetus to develop and deploy good quality survey instruments will increase. This volume provides an important proof of concept that this type of endeavor is both feasible and useful in fragile contexts and, in combination with other important data collection tools, can be effectively utilized to enrich the evidence base of decision making in these settings.
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|a Includes bibliographical references.
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|a Resource, viewed July 27, 2017.
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|a Front Cover; Contents; Foreword; Preface; Acknowledgments; About the Editors and Authors; Abbreviations; Introduction: What Contribution Can Survey Data Make toward Evidence-Based Policy Making in Fragile and Conflict-Affected Contexts?; Part 1 General Theory and Principles of Survey Design and Political Economy Dynamics; Chapter 1 The Political Economy of Data Collection and Evidence-Based Policy Making in Fragile Contexts; Introduction; Literature; A Simple Model of the Political Economy of Data Collection and Availability; Robustness Tests; Limitations; Conclusion and Policy Implications.
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|a Notes. Bibliography; Chapter 2 Understanding and Preparing Survey Data for Quantitative Analysis; Introduction; Literature Review; Data Collection; Sampling Design; Sample Weighting; Data Cleaning; Missing Responses; Ordering of Responses; Recoding of Responses; Merging or Appending of Data; Conclusion; References; Chapter 3 Working with Incomplete Data Sets; Case Study: Conflict; Case Study: Access to Finance; Suggestions for Future Data Collection; Conclusion; Bibliography; Chapter 4 Quantitative Analysis Using Household Survey Data; Case Study: Public Services.
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|a Advanced Quantitative Analysis-Factor Analysis and Structural Equation Modeling Conclusion; Notes; Bibliography; Part 2 Detailed Analysis of the Survey's Modules; Chapter 5 Using Survey Data from Sudan for Policy Making: The Determinants of Trust and the Perceived Effect on Gender of Decisions by the Tribal Leader; The Data Set; Background to the Analysis: Sudan; Literature; Theory: Perceived Fairness and Trust; Regression Results; Conclusions and Implications; Annex 5A: Generating Locational Variables in Stata; Notes; Bibliography.
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|a Chapter 6 The Vicious Circle of Poverty, Poor Public Service Provision, and State Legitimacy in Sudan Introduction; Background: Sudan; The 2013 DFID Sudan Household Survey Data; Discussion; Notes; References; Chapter 7 Geography and Correlates of Attitudes toward Female Genital Mutilation in Sudan: What Can We Learn from Successive Sudan Opinion Poll Data?; Background; Methods; Results; Discussion; Notes; References; Chapter 8 The Effect of Decentralization Policies on Inequalities of Public Service Delivery in Sudan.
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|a Existing Research on Governance and Service Delivery in Sudan and Proposed Methodology Governance in Sudan: A Macro Perspective on Service Delivery; Theoretical Framework: Decentralization and Service Delivery; Fiscal Decentralization and Service Delivery in Sudan: Exploring Institutional Design and Available Data; Decentralization and the Center-Periphery Hypothesis; Conclusions; Annex 8A Distribution of Responsibilities among Different Levels of Government in Sudan; Notes; References.
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Social accounting
|z Sudan.
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650 |
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|a Social indicators
|z Sudan.
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650 |
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|a Economic indicators
|z Sudan.
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|a Postwar reconstruction
|z Sudan
|x Data processing.
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650 |
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|a Household surveys
|z Sudan.
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|a Indicateurs sociaux
|z Soudan.
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|a Indicateurs économiques
|z Soudan.
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|a Reconstruction d'après-guerre
|z Soudan
|x Informatique.
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650 |
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|a BUSINESS & ECONOMICS
|x Industrial Management.
|2 bisacsh
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650 |
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|a BUSINESS & ECONOMICS
|x Management.
|2 bisacsh
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|a BUSINESS & ECONOMICS
|x Management Science.
|2 bisacsh
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|a BUSINESS & ECONOMICS
|x Organizational Behavior.
|2 bisacsh
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650 |
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7 |
|a Economic indicators
|2 fast
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650 |
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7 |
|a Household surveys
|2 fast
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|
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|a Social accounting
|2 fast
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|a Social indicators
|2 fast
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|a Sudan
|2 fast
|1 https://id.oclc.org/worldcat/entity/E39PBJh4qYjT3cck3wrddjRMyd
|
700 |
1 |
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|a Hamilton, Alexander,
|d 1984-
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PCjFqHDwmBfB4HBkkFFGTBK
|
700 |
1 |
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|a Hammer, Craig,
|e editor.
|
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|i has work:
|a Data-driven decision making in fragile contexts (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGmwBHgT9tJRxgPQ34x343
|4 https://id.oclc.org/worldcat/ontology/hasWork
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|i Print version:
|t Data-driven decision-making in fragile contexts.
|d Washington, DC : World Bank Group, [2017]
|z 9781464810640
|z 1464810648
|w (OCoLC)985078731
|
830 |
|
0 |
|a Directions in development (Washington, D.C.).
|p Public sector governance.
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856 |
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