Data-driven decision-making in fragile contexts evidence from Sudan
Alexander Hamilton and Craig Hammer, editors.
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 -- 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 -- 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.
