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Cited by 677

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Manipulation Testing Based on Density Discontinuity

Open access
Cattaneo, Matias D., Jansson, Michael, Ma, Xinwei·2018·The Stata Journal: Promoting communications on statistics and Stata
DOI 10.1177/1536867x1801800115
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Abstract

In this article, we introduce two community-contributed commands, rddensity and rdbwdensity, that implement automatic manipulation tests based on density discontinuity and are constructed using the results for local-polynomial density estimators in Cattaneo, Jansson, and Ma (2017b, Simple local polynomial density estimators, Working paper, University of Michigan). These new tests exhibit better size properties (and more power under additional assumptions) than other conventional approaches currently available in the literature. The first command, rddensity, implements manipulation tests based on a novel local-polynomial density estimation technique that avoids prebinning of the data (improving size properties) and allows for restrictions on other features of the model (improving power properties). The second command, rdbwdensity, implements several bandwidth selectors specifically tailored for the manipulation tests discussed herein. We also provide a companion R package with the same syntax and capabilities as rddensity and rdbwdensity.

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Metadata

Authors
Cattaneo, M. D., Jansson, M., & Ma, X.
Venue
The Stata Journal: Promoting communications on statistics and Stata
Publisher
SAGE Publications
Published
2018-03
Volume
18
Issue
1
Pages
234-261
ISSN
  • 1536-867X (ISSN-L)
  • 1536-8734
DOI
10.1177/1536867x1801800115
OpenAlex
W2866690087
Cited by
677
References
16
FWCI
35.47
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Manipulation Testing Based on Density Discontinuity. https://app.cochat.ai/papers/10.1177/1536867x1801800115
The paper
Cattaneo, M. D., Jansson, M., & Ma, X. (2018). Manipulation Testing Based on Density Discontinuity. The Stata Journal: Promoting communications on statistics and Stata. https://doi.org/10.1177/1536867x1801800115

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