Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Kasy, Maximilian
2016.
Why Experimenters Might Not Always Want to Randomize, and What They Could Do Instead.
Political Analysis,
Vol. 24,
Issue. 3,
p.
324.
Gschwend, Thomas
Sternberg, Sebastian
and
Zittlau, Steffen
2016.
Are Judges Political Animals after All? Quasi-Experimental Evidence from the German Federal Constitutional Court.
SSRN Electronic Journal,
Keele, Luke
Linn, Suzanna
and
McLaughlin Webb, Clayton
2016.
Erratum for Keele, Linn, and Webb (2016).
Political Analysis,
Vol. 24,
Issue. 2,
p.
291.
Samii, Cyrus
2016.
Causal Empiricism in Quantitative Research.
The Journal of Politics,
Vol. 78,
Issue. 3,
p.
941.
Bellemare, Marc F.
Masaki, Takaaki
and
Pepinsky, Thomas B.
2017.
Lagged Explanatory Variables and the Estimation of Causal Effect.
The Journal of Politics,
Vol. 79,
Issue. 3,
p.
949.
da Cunha Rezende, Flávio
2017.
Transformações na cientificidade e o ajuste inferencial na Ciência Política: argumento e evidências na produção de alto fator de impacto.
Revista de Sociologia e Política,
Vol. 25,
Issue. 63,
p.
103.
Kam, Cindy D.
and
Trussler, Marc J.
2017.
At the Nexus of Observational and Experimental Research: Theory, Specification, and Analysis of Experiments with Heterogeneous Treatment Effects.
Political Behavior,
Vol. 39,
Issue. 4,
p.
789.
Smith, Charles E.
and
Zorn, Christopher
2017.
The Palgrave Handbook of Quantum Models in Social Science.
p.
121.
Cranmer, Skyler J.
and
Desmarais, Bruce A.
2017.
What Can We Learn from Predictive Modeling?.
Political Analysis,
Vol. 25,
Issue. 2,
p.
145.
Kolaczyk, Eric D.
2017.
Topics at the Frontier of Statistics and Network Analysis.
Brathwaite, Timothy
and
Walker, Joan L.
2018.
Causal inference in travel demand modeling (and the lack thereof).
Journal of Choice Modelling,
Vol. 26,
Issue. ,
p.
1.
Suzuki, Akisato
2018.
Audience costs, domestic economy and coercive diplomacy.
Research & Politics,
Vol. 5,
Issue. 3,
Fariss, Christopher J.
and
Jones, Zachary M.
2018.
Enhancing Validity in Observational Settings When Replication is Not Possible.
Political Science Research and Methods,
Vol. 6,
Issue. 2,
p.
365.
Chaudoin, Stephen
Hays, Jude
and
Hicks, Raymond
2018.
Do We Really Know the WTO Cures Cancer?.
British Journal of Political Science,
Vol. 48,
Issue. 4,
p.
903.
Fervers, Lukas
2018.
Can public employment schemes break the negative spiral of long-term unemployment, social exclusion and loss of skills? Evidence from Germany.
Journal of Economic Psychology,
Vol. 67,
Issue. ,
p.
18.
Braumoeller, Bear F.
Marra, Giampiero
Radice, Rosalba
and
Bradshaw, Aisha E.
2018.
Flexible Causal Inference for Political Science.
Political Analysis,
Vol. 26,
Issue. 1,
p.
54.
Mohanty, Pete
and
Shaffer, Robert
2019.
Messy Data, Robust Inference? Navigating Obstacles to Inference with bigKRLS.
Political Analysis,
Vol. 27,
Issue. 2,
p.
127.
Visconti, Giancarlo
2019.
Economic Perceptions and Electoral Choices: A Design-Based Approach.
Political Science Research and Methods,
Vol. 7,
Issue. 4,
p.
795.
Friesen, Paul
2019.
Strategic ballot removal: an unexplored form of electoral manipulation in hybrid regimes.
Democratization,
Vol. 26,
Issue. 4,
p.
709.
Samartsidis, Pantelis
Seaman, Shaun R.
Presanis, Anne M.
Hickman, Matthew
and
De Angelis, Daniela
2019.
Assessing the Causal Effect of Binary Interventions from Observational Panel Data with Few Treated Units.
Statistical Science,
Vol. 34,
Issue. 3,