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Package RDHonest March 22, 2024 Title Honest Inference in Regression Discontinuity Designs Version 1.0.0 Description Honest and nearlyoptimal confidence intervals in fuzzy and sharp regression discontinuity

How to fill out inference in regression discontinuity

How to fill out inference in regression discontinuity

1. Identify the cutoff point in the regression model
2. Collect data points on both sides of the cutoff point
3. Estimate the treatment effect using regression analysis
4. Conduct hypothesis testing to determine the significance of the treatment effect
5. Interpret the results and draw conclusions

Who needs inference in regression discontinuity?

1. Researchers conducting studies using regression discontinuity design
2. Policy makers evaluating the impact of interventions with a cutoff point
3. Economists studying the effects of changes in policies or regulations

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What is inference in regression discontinuity?

Inference in regression discontinuity refers to the statistical techniques used to estimate the causal effects of an intervention at a threshold where that intervention changes. It typically involves analyzing the outcomes of observations that are close to the cutoff point to determine the effect of crossing that threshold.

Who is required to file inference in regression discontinuity?

Researchers and analysts who conduct studies using regression discontinuity designs are required to file inference. This includes anyone reporting results involving causal interpretations based on the threshold method.

How to fill out inference in regression discontinuity?

To fill out inference in regression discontinuity, researchers should provide information on the threshold criteria, the sample size, the statistical methods used for analysis, the estimated effects, and any relevant covariates that were controlled for.

What is the purpose of inference in regression discontinuity?

The purpose of inference in regression discontinuity is to formally test hypotheses regarding the effects of interventions at a specific cutoff point and to accurately estimate causal relationships in observational data.

What information must be reported on inference in regression discontinuity?

Information that must be reported includes the cutoff point, estimation method, type of model used, confidence intervals for estimates, significance levels, and any robustness checks performed.