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Preface | |
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Introduction | |
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Drawing Inferences from Intuitions, Anecdotes, and Correlations | |
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Experiments as a Solution to the Problem of Unobserved Confounders | |
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Experiments as Fair Tests | |
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Field Experiments | |
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Advantages and Disadvantages of Experimenting in Real-World Settings | |
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Naturally Occurring Experiments and Quasi-Experiments | |
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Plan of the Book | |
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Suggested Readings | |
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Exercises | |
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Causal Inference and Experimentation | |
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Potential Outcomes | |
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Average Treatment Effects | |
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Random Sampling and Expectations | |
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Random Assignment and Unbiased Inference | |
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The Mechanics of Random Assignment | |
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The Threat of Selection Bias When Random Assignment Is Not Used | |
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Two Core Assumptions about Potential Outcomes | |
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Excludability | |
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Non-interference | |
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Summary | |
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Suggested Readings | |
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Exercises | |
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Sampling Distributions, Statistical Inference, and Hypothesis Testing | |
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Sampling Distributions | |
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The Standard Error as a Measure of Uncertainty | |
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Estimating Sampling Variability 59 3.4- Hypothesis Testing | |
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Confidence Intervals | |
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Sampling Distributions for Experiments That Use Block or Cluster Random Assignment | |
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Block Random Assignment | |
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Matched Pair Design | |
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Summary of the Advantages and Disadvantages of Blocking | |
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Cluster Random Assignment | |
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Summary | |
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Suggested Readings | |
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Exercises | |
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Power | |
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Using Covariates in Experimental Design and Analysis | |
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Using Covariates to Rescale Outcomes | |
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Adjusting for Covariates Using Regression | |
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Covariate Imbalance and the Detection of Administrative Errors | |
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Blocked Randomization and Covariate Adjustment | |
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Analysis of Block Randomized Experiments with Treatment Probabilities That Vary by Block | |
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Summary | |
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Suggested Readings | |
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Exercises | |
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One-Sided Noncompliance | |
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New Definitions and Assumptions | |
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Denning Causal Effects for the Case of One-Sided Noncompliance 13 | |
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The Non-interference Assumption for Experiments That Encounter Noncompliance | |
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The Excludability Assumption for One-Sided Noncompliance | |
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Average Treatment Effects, Intent-to-Treat Effects, and Complier Average Causal Effects | |
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Identification of the CACE | |
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Estimation | |
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Avoiding Common Mistakes | |
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Evaluating the Assumptions Required to Identify the CACE 15 | |
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Non-interference Assumption | |
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Exclusion Restriction | |
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Statistical Inference | |
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Designing Experiments in Anticipation of Noncompliance | |
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Estimating Treatment Effects When Some Subjects Receive "Partial Treatment" | |
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Summary | |
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Suggested Readings | |
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Exercises | |
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Two-Sided Noncompliance | |
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Two-Sided Noncompliance: New Definitions and Assumptions | |
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ITT, ITT<sub>D</sub>, and CACE under Two-Sided Noncompliance | |
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A Numerical Illustration of the Role of Monotonicity | |
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Estimation of the CACE: An Example | |
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Discussion of Assumptions | |
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Monotonicity | |
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Exclusion Restriction | |
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Random Assignment | |
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Design Suggestions | |
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Downstream Experimentation | |
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Summary | |
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Suggested Readings | |
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Exercises | |
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Attrition | |
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Conditions Under Which Attrition Leads to Bias | |
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Special Forms of Attrition | |
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Redefining the Estimand When Attrition Is Not a Function of Treatment Assignment | |
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Placing Bounds on the Average Treatment Effect | |
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Addressing Attrition: An Empirical Example | |
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Addressing Attrition with Additional Data Collection | |
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Two Frequently Asked Questions | |
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Summary | |
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Suggested Readings | |
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Exercises | |
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Optimal Sample Allocation for Second-Round Sampling | |
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Interference between Experimental Units | |
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Identifying Causal Effects in the Presence of Localized Spillover | |
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Spatial Spillover | |
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Using Nonexperimental Units to Investigate Spillovers | |
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An Example of Spatial Spillovers in Two Dimensions | |
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Within-Subjects Design and Time-Series Experiments | |
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Waitlist Designs (Also Known as Stepped-Wedge Designs) | |
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Summary | |
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Suggested Readings | |
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Exercises | |
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Heterogeneous Treatment Effects | |
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Limits to What Experimental Data Tell Us about Treatment Effect Heterogeneity | |
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Bounding Var (�) and Testing for Heterogeneity | |
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Two Approaches to the Exploration of Heterogeneity: Covariates and Design | |
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Assessmg Treatment-by-Covariate Interactions | |
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Caution Is Required When Interpreting Treatment-by-Covariate Interactions | |
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Assessing Treatment-by-Treatment Interactions | |
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Using Regression to Model Treatment Effect Heterogeneity | |
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Automating the Search for Interactions | |
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Summary | |
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Suggested Readings | |
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Exercises | |
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Mediation | |
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Regression-Based Approaches to Mediation | |
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Mediation Analysis from a Potential Outcomes Perspective | |
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Why Experimental Analysis of Mediators Is Challenging | |
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Ruling Out Mediators? | |
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What about Experiments That Manipulate the Mediator? | |
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Implicit Mediation Analysis | |
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Summary | |
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Suggested Readings | |
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Exercises | |
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Treatment Postcards Mailed to Michigan Households | |
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Integration of Research Findings | |
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Estimation of Population Average Treatment Effects | |
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A Bayesian Framework for Interpreting Research Findings | |
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Replication and Integration of Experimental Findings: An Example | |
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Treatments That Vary in Intensity: Extrapolation and Statistical Modeling | |
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Summary | |
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Suggested Readings | |
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Exercises | |
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Instructive Examples of Experimental Design | |
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Using Experimental Design to Distinguish between Competing Theories | |
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Oversampling Subjects Based on Their Anticipated Response to Treatment | |
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Comprehensive Measurement of Outcomes | |
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Factorial Design and Special Cases of Non-interference | |
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Design and Analysis of Experiments In Which Treatments Vary with Subjects' Characteristics | |
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Design and Analysis of Experiments In Which Failure to Receive Treatment Has a Causal Effect | |
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Addressing Complications Posed by Missing Data | |
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Summary | |
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Suggested Readings | |
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Exercises | |
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Writing a Proposal, Research Report, and Journal Article | |
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Writing the Proposal | |
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Writing the Research Report | |
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Writing the Journal Article | |
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Archiving Data | |
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Summary | |
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Suggested Readings | |
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Exercises | |
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Protection of Human Subjects | |
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Regulatory Guidelines | |
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Guidelines for Keeping Field Experiments within Regulatory Boundaries | |
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Suggested Field Experiments for Class Projects | |
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Crafting Your Own Experiment | |
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Suggested Experimental Topics for Practicum Exercises | |
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References | |
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Index | |