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Teppei Yamamoto
Teppei Yamamoto
Associate Professor of Political Science, MIT
Email confirmado em mit.edu - Página inicial
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Mediation: R package for causal mediation analysis
D Tingley, T Yamamoto, K Hirose, L Keele, K Imai
UCLA Statistics/American Statistical Association, 2014
23212014
Identification, inference and sensitivity analysis for causal mediation effects
K Imai, L Keele, T Yamamoto
Statistical Science 25 (1), 51-71, 2010
15152010
Unpacking the black box of causality: Learning about causal mechanisms from experimental and observational studies
K Imai, L Keele, D Tingley, T Yamamoto
American Political Science Review 105 (4), 2011
14732011
Causal inference in conjoint analysis: Understanding multidimensional choices via stated preference experiments
J Hainmueller, DJ Hopkins, T Yamamoto
Political analysis 22 (1), 1-30, 2014
1305*2014
Validating vignette and conjoint survey experiments against real-world behavior
J Hainmueller, D Hangartner, T Yamamoto
Proceedings of the National Academy of Sciences 112 (8), 2395-2400, 2015
8442015
Experimental designs for identifying causal mechanisms
K Imai, D Tingley, T Yamamoto
Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2013
4252013
Identification and sensitivity analysis for multiple causal mechanisms: Revisiting evidence from framing experiments
K Imai, T Yamamoto
Political Analysis 21 (2), 141-171, 2013
3392013
Causal mediation analysis using R
K Imai, L Keele, D Tingley, T Yamamoto
Advances in social science research using R, 129-154, 2010
3092010
The number of choice tasks and survey satisficing in conjoint experiments
K Bansak, J Hainmueller, DJ Hopkins, T Yamamoto
Political Analysis 26 (1), 112-119, 2018
1462018
Identifying mechanisms behind policy interventions via causal mediation analysis
L Keele, D Tingley, T Yamamoto
Journal of Policy Analysis and Management 34 (4), 937-963, 2015
1092015
Beyond the breaking point? Survey satisficing in conjoint experiments
K Bansak, J Hainmueller, DJ Hopkins, T Yamamoto
Political Science Research and Methods 9 (1), 53-71, 2021
962021
Causal inference with differential measurement error: Nonparametric identification and sensitivity analysis
K Imai, T Yamamoto
American Journal of Political Science 54 (2), 543-560, 2010
94*2010
Does conjoint analysis mitigate social desirability bias?
Y Horiuchi, Z Markovich, T Yamamoto
Political Analysis 30 (4), 535-549, 2022
832022
Measuring voters’ multidimensional policy preferences with conjoint analysis: Application to Japan’s 2014 election
Y Horiuchi, DM Smith, T Yamamoto
Political analysis 26 (2), 190-209, 2018
792018
Identifying voter preferences for politicians’ personal attributes: A conjoint experiment in Japan
Y Horiuchi, DM Smith, T Yamamoto
Political Science Research and Methods 8 (1), 75-91, 2020
712020
Conjoint survey experiments
K Bansak, J Hainmueller, DJ Hopkins, T Yamamoto, JN Druckman, ...
Advances in experimental political science 19, 2021
592021
Persuading the enemy: Estimating the persuasive effects of partisan media with the preference-incorporating choice and assignment design
J de Benedictis-Kessner, MA Baum, AJ Berinsky, T Yamamoto
American Political Science Review 113 (4), 902-916, 2019
502019
Comment on Pearl: Practical implications of theoretical results for causal mediation analysis.
K Imai, L Keele, D Tingley, T Yamamoto
American Psychological Association 19 (4), 482, 2014
412014
Using Conjoint Experiments to Analyze Election Outcomes: The Essential Role of the Average Marginal Component Effect
K Bansak, J Hainmueller, DJ Hopkins, T Yamamoto
Political Analysis, 1-19, 2022
36*2022
Identification and estimation of causal mediation effects with treatment noncompliance
T Yamamoto
Unpublished manuscript, 2013
352013
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