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CHAPTER TWO. Causal Inference with Observational Data
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Justin Esarey
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Kapitel in diesem Buch
- Frontmatter i
- Contents v
- Introduction 1
-
I. ENGAGING THE DATA
- CHAPTER ONE. Measuring Political and Policy Preferences Using Item Response Scaling 15
- CHAPTER TWO. Causal Inference with Observational Data 40
- CHAPTER THREE. Causal Inference with Experimental Data 67
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II. EMERGING DATA SOURCES AND TECHNIQUES
- CHAPTER FOUR. Descriptive Network Analysis 91
- CHAPTER FIVE. Learning from Place in the Era of Geolocation 118
- CHAPTER SIX. Text Analysis 137
- CHAPTER SEVEN. Machine Learning and Governance 160
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III. IMPLICATIONS FOR GOVERNANCE
- CHAPTER EIGHT. Governing a Data-Driven Society 185
- CHAPTER NINE. Big Data and Privacy 204
- CHAPTER TEN. Reflections on Analytics 226
- Contributors 245
- Index 249
Kapitel in diesem Buch
- Frontmatter i
- Contents v
- Introduction 1
-
I. ENGAGING THE DATA
- CHAPTER ONE. Measuring Political and Policy Preferences Using Item Response Scaling 15
- CHAPTER TWO. Causal Inference with Observational Data 40
- CHAPTER THREE. Causal Inference with Experimental Data 67
-
II. EMERGING DATA SOURCES AND TECHNIQUES
- CHAPTER FOUR. Descriptive Network Analysis 91
- CHAPTER FIVE. Learning from Place in the Era of Geolocation 118
- CHAPTER SIX. Text Analysis 137
- CHAPTER SEVEN. Machine Learning and Governance 160
-
III. IMPLICATIONS FOR GOVERNANCE
- CHAPTER EIGHT. Governing a Data-Driven Society 185
- CHAPTER NINE. Big Data and Privacy 204
- CHAPTER TEN. Reflections on Analytics 226
- Contributors 245
- Index 249