Quantile Treatment Effects in Difference-in-Discontinuities Designs

Clicks: 41
ID: 327928
2026
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #12 of 27 articles by views in econometrics journal

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract This paper studies identification and doubly robust (DR) estimation of quantile treatment effects (QTEs) in difference-in-discontinuities (diff-in-disc) designs when a new treatment is introduced in the post period and a confounding discontinuous policy is present in both periods. We show that QTEs are point identified under a conditional stable-distributional-effect assumption for the confounding treatment, a restriction that is analogous to the distributional parallel trends assumption in the recent difference-in-differences literature. We then propose a DR estimator and inference procedure that remain valid when either the outcome regression or the propensity score model is correctly specified, while avoiding high-dimensional nonparametric adjustment for covariates in the local estimation setting. We establish asymptotic normality of the proposed estimator, and Monte Carlo simulations illustrate its double-robustness and good finite-sample performance. In an application to Italian municipal fiscal data (Grembi et al. 2016),, the estimates suggest that relaxing fiscal constraints increases deficits primarily over the lower and central portions of the distribution, shifting municipalities from surplus or near balance into moderate deficits—a distributional pattern not captured by mean effects.
Reference Key
openalex_W7211965671 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Yingying Dong
Are you one of these authors? Claim your profile
Journal econometrics journal
Year 2026
DOI
10.1093/ectj/utag028
URL
https://doi.org/10.1093/ectj/utag028
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.