Thoughtful coverage of ongoing discussions in the field — RCTs versus observational methods, external validity, ethics, bias, and the limits of causal claims.

Posterior or Sampling Distribution? The Bayesian-Frequentist Debate in Causal Inference

Posterior or Sampling Distribution? The Bayesian-Frequentist Debate in Causal Inference

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Do Causal Estimates Travel? External Validity and the Credibility Revolution in Development

Do Causal Estimates Travel? External Validity and the Credibility Revolution in Development

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Dynamic Difference-in-Differences: Are Event Study Coefficients Reliable Estimates of Causal Dynamics?

Dynamic Difference-in-Differences: Are Event Study Coefficients Reliable Estimates of Causal Dynamics?

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Are Regression Discontinuity Designs Actually Identifying What We Think? Manipulation, Heaping, and the Limits of Continuity

Are Regression Discontinuity Designs Actually Identifying What We Think? Manipulation, Heaping, and the Limits of Continuity

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Harvesting Causal Estimates: Can We Meta-Analyse DiD and Event-Study Results?

Harvesting Causal Estimates: Can We Meta-Analyse DiD and Event-Study Results?

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Machine Learning or Theory for Covariate Selection? A Methodological Debate

Machine Learning or Theory for Covariate Selection? A Methodological Debate

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Mediation Analysis: Can We Ever Identify Indirect Effects?

Mediation Analysis: Can We Ever Identify Indirect Effects?

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Machine Learning or Economic Theory? The Debate Over Covariate Selection in Applied Economics

Machine Learning or Economic Theory? The Debate Over Covariate Selection in Applied Economics

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Reduced Form vs Structural Models: Do We Need Theory for External Validity?

Reduced Form vs Structural Models: Do We Need Theory for External Validity?

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Treatment Effect Heterogeneity: Feature or Bug in Policy Evaluation?

Treatment Effect Heterogeneity: Feature or Bug in Policy Evaluation?

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Should Long-Run Effects of Short-Run Interventions Be Trusted?

Should Long-Run Effects of Short-Run Interventions Be Trusted?

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Clustering Standard Errors: When, Why, and At What Level?

Clustering Standard Errors: When, Why, and At What Level?

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Pooling vs. Stratification: Should Policy Evaluations Report Subgroup Effects?

Pooling vs. Stratification: Should Policy Evaluations Report Subgroup Effects?

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The Replication Crisis in Economics: Beyond Pre-registration

The Replication Crisis in Economics: Beyond Pre-registration

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Is Every "Natural Experiment" Really Natural? Scrutinising the Exclusion Restriction

Is Every "Natural Experiment" Really Natural? Scrutinising the Exclusion Restriction

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Selection on Parallel Trends: The Hidden Assumption Behind Conditional DiD

Selection on Parallel Trends: The Hidden Assumption Behind Conditional DiD

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Machine Learning versus Structural Models: Two Visions of Policy Counterfactuals

Machine Learning versus Structural Models: Two Visions of Policy Counterfactuals

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Publication Bias and the File Drawer Problem: Are Published Effect Sizes Too Big?

Publication Bias and the File Drawer Problem: Are Published Effect Sizes Too Big?

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Synthetic Control vs. Difference-in-Differences: When to Use Which?

Synthetic Control vs. Difference-in-Differences: When to Use Which?

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Should Covariates Always Be Included in Randomised Experiments?

Should Covariates Always Be Included in Randomised Experiments?

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The Parallel Trends Assumption: Testable, Credible, or Dogma?

The Parallel Trends Assumption: Testable, Credible, or Dogma?

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RCTs vs. Observational Studies: Is Randomisation the Gold Standard?

RCTs vs. Observational Studies: Is Randomisation the Gold Standard?

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Pre-registration and Researcher Degrees of Freedom: Does Economics Have a Replication Problem?

Pre-registration and Researcher Degrees of Freedom: Does Economics Have a Replication Problem?

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External Validity: Are Local Average Treatment Effects Policy-Relevant?

External Validity: Are Local Average Treatment Effects Policy-Relevant?

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