bootstrapping

bootstrapping
Cluster: Research Methods
Research design and estimation techniques.
Tagged articles: 1

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bootstrapbootstrap method

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Bayesian Methods bootstrapping Causal Inference Cohort Analysis Comparative Analysis computational methods Conjoint Experiments Content Analysis counterfactuals crowdsourcing Difference-In-Differences Dyadic Analysis ecological inference Experimental Methods external validity Field Experiment Fixed Effects Focus Groups Forecasting implicit association test Instrumental Variables Interviews item response theory Laboratory Experiment latent variables List Experiments listwise deletion Logistic Regression Machine Learning manipulation checks Matching Meta-Analysis Mixed Methods Monte Carlo Multilevel Modeling Multimethod Multiple Imputation Natural Experiment Network Analysis nonparametric methods Poststratification Preregistration qualitative analysis Qualitative Comparative Analysis random forests analysis Regression Discontinuity Replication Sensitivity Analysis Simulation Spatial Models Speech-as-Data Structural Models Survey Experiments Survival Analysis Synthetic Control Text Analysis Time Series Analysis Triple Difference

Articles Tagged "bootstrapping"

Why Clustered SEs Underestimate Uncertainty — A Better Method

Article summary

Clustered standard errors are widely used when data include multiple observations per unit (for example, cities, states, or countries). There is active debate about the best way to estimate standard errors and confidence intervals under clustering (Harden 2011; Imbens and Kolesár 2016; MacKinnon and Webb 2017; Esarey and Menger 2019).

bootstrapping2020@Pol. An.Dataverse