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Replication Data for: Equivalence Testing for Regression Discontinuity Designs

By Erin Hartman · as credited by the source

Published 2020-09-30 · Political Analysis Dataverse

Deposited on Harvard Dataverse doi:10.7910/DVN/IVRHIR licence: see repository 5 files
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About this dataset

Regression discontinuity (RD) designs are increasingly common in political science. They have many advantages, including a known and observable treatment assignment mechanism. The literature has emphasized the need for “falsification tests” and ways to assess the validity of the design. When implementing RD designs, researchers typically rely on two falsification tests, based on empirically testable implications of the identifying assumptions, to argue the design is credible. These tests, one for continuity in the regression function for a pre-treatment covariate, and one for continuity in the …

Collection: Political Analysis Dataverse

Regression Discontinuity Design, Equivalence Tests, Falsification Tests

Use it in a run

Download the files into your project's data/ folder and start a template. The data stay on your machine; the published research records the DOI, so the authors are credited.

e2er run "<your research question>"

Automatic download by DOI is planned.

Cite

@dataset{hartman2020,
  title     = {Replication Data for: Equivalence Testing for Regression Discontinuity Designs},
  author    = {Hartman, Erin},
  year      = {2020},
  publisher = {Harvard Dataverse},
  doi       = {10.7910/DVN/IVRHIR},
  url       = {https://doi.org/10.7910/DVN/IVRHIR}
}

Research that uses it

No published research on E2ER uses this dataset yet.

Description

Data model
Discipline
Social sciences
Method family
Empirical (quantitative)Replication
Design
Regression discontinuity
Research stage
Data acquisition
Contributors
Erin Hartman (Data curation)
Usage
not used in published research yet
Source
Harvard Dataverse · Political Analysis Dataverse
Record
dataset:dataverse/10-7910-dvn-ivrhir · JSON

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