R. Titiunik
Statistics and Probability · 2009–2023
A researcher in the Science corpus: 15 papers; trusts 69 researchers and is trusted by 63 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 136 citations into it; #675 of 12,932 by trust here, #440 by citations
- Economics and Econometrics — 53 citations into it
- Education — 44 citations into it; #4,319 of 11,309 by trust here, #5,825 by citations
- Political Science and International Relations — 31 citations into it; #1,061 of 4,701 by trust here, #1,607 by citations
- Sociology and Political Science — 29 citations into it; #9,963 of 22,756 by trust here, #20,051 by citations
- Causal Inference & Discovery — 13 citations into it
- Safety Research — 12 citations into it
- Management Science and Operations Research — 11 citations into it; #2,851 of 11,946 by trust here, #2,957 by citations
Whom R. Titiunik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- M. D. Cattaneo
- Sebastian Calonico
- David S. Lee
- J. Porter
- Guido W. Imbens
- Jianqing Fan
- Alberto Abadie
- J. McCrary
- Wilbert van der Klaauw
- Jens Ludwig
Who trusts R. Titiunik overall
- M. D. Cattaneo
- Sebastian Calonico
- Alberto Abadie
- Luke Keele
- Max H. Farrell
- Gonzalo Vázquez-Baré
- Marko Klašnja
- N. Idrobo
- Marinho Bertanha
- Juan-Carlos Escanciano
Papers from R. Titiunik's perspective
Ordered by how strongly the researchers R. Titiunik trusts endorse each paper. Same corpus, a different order for every researcher.
- Local polynomial modelling and its applications
- Randomized experiments from non-random selection in U.S. House elections
- Statistics and Causal Inference
- Estimation in the Regression Discontinuity Model
- Large Sample Properties of Matching Estimators for Average Treatment Effects
- Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs
- IDENTIFICATION AND ESTIMATION OF TREATMENT EFFECTS WITH A REGRESSION-DISCONTINUITY DESIGN
- Agnostic notes on regression adjustments to experimental data: Reexamining Freedman's critique
- On regression adjustments in experiments with several treatments
- Does Head Start Improve Children's Life Chances? Evidence from a Regression Discontinuity Design (Social Science Research Network)
Their papers
- Optimal Data-Driven Regression Discontinuity Plots (2015) — 434 citations
- Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate (2015) — 148 citations
- Geographic Boundaries as Regression Discontinuities (2015) — 379 citations
- Rdrobust: Software for Regression-discontinuity Designs (2017) — 724 citations
- Regression Discontinuity Designs Using Covariates (2018) — 645 citations
- Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs (2014) — 2,502 citations
- Inference in Regression Discontinuity Designs under Local Randomization (2016) — 112 citations
- Robust Data-Driven Inference in the Regression-Discontinuity Design (2014) — 660 citations
- A Practical Introduction to Regression Discontinuity Designs (2019) — 625 citations
- Interpreting Regression Discontinuity Designs with Multiple Cutoffs (2016) — 214 citations
- Power calculations for regression-discontinuity designs (2019) — 76 citations
- The Incumbency Curse: Weak Parties, Term Limits, and Unfulfilled Accountability (2017) — 168 citations
- A Practical Introduction to Regression Discontinuity Designs: Extensions (2023) — 99 citations
- A Practical Guide to Regression Discontinuity Designs in Political Science (2015)
- Redistricting and the Personal Vote: When Natural Experiments are Neither Natural nor Experiments (2009) — 195 citations