|
|
Llaudet, Elena, and Kosuke
Imai. (2022). Data Analysis for Social Science: A
Friendly and Practical Introduction. Princeton
University Press. |
Imai, Kosuke. (2017). Quantitative
Social Science: An Introduction. Princeton
University Press. Translated into Japanese
(2018), Chinese
(2020), and Korean
(2021).
|
Stata version (2021) with Lori D. Bougher. |
Tidyverse version
(2022) with Nora Webb Williams. |
McCartan, Cory, Jacob Brown, and Kosuke
Imai. ``Measuring and
Modeling Neighborhoods.'' American Political
Science Review, Forthcoming. |
Ben-Michael, Eli, Kosuke Imai, and Zhichao
Jiang. ``Policy Learning with
Asymmetric Counterfactual Utilities.'' Journal of
the American Statistical Association,
Forthcoming. |
Ham, Dae Woong, Kosuke Imai, and Lucas
Janson. ``Using Machine Learning to
Test Causal Hypotheses in Conjoint Analysis.''
Political Analysis, Forthcoming. |
Eshima, Shusei, Kosuke Imai, and Tomoya
Sasaki. ``Keyword Assisted Topic
Models.'' American Journal of
Political Science, Forthcoming. |
Kenny, Christopher, Cory McCartan, Tyler
Simko, and Kosuke Imai. (2024). ``Census officials must
constructively engage with independent evaluations.''
Proceedings of the National Academy of Sciences (Letter),
Vol. 121, No. 11, e2321196121. |
McCartan, Cory, Tyler Simko, and Kosuke
Imai. (2023). ``Making
Differential Privacy Work for Census Data Users.''
Harvard Data Science Review, Vol. 5, No. 4. (Fall).
|
McCartan, Cory and Kosuke
Imai. (2023). ``Sequential
Monte Carlo for Sampling Balanced and Compact Redistricting
Plans.'' Annals of Applied Statistics,
Vol. 17, No. 4 (December), pp. 3300-3323. |
Tarr, Alexander, June Hwang, and Kosuke
Imai. (2023). ``Automated Coding
of Political Campaign Advertisement Videos: An Empirical
Validation Study.'' Political Analysis,
Vol. 31, No. 4 (October), pp. 554-574. |
Jiang, Zhichao, Kosuke Imai, and Anup
Malani. (2023). ``Statistical
Inference and Power Analysis for Direct and Spillover Effects in
Two-Stage Randomized Experiments.''
Biometrics, Vol. 79, No. 3 (September), pp. 2370-2381.
|
Imai, Kosuke, In Song Kim, and Erik
Wang. (2023). ``Matching Methods
for Causal Inference with Time-Series Cross-Sectional
Data..'' American Journal of Political
Science, Vol. 67, No. 3 (July), pp. 587-605.
|
Kenny, Christopher T., Cory McCartan,
Tyler Simko, Shiro Kuriwaki, and Kosuke Imai. (2023). ``Widespread Partisan Gerrymandering Mostly
Cancels Nationally, but Reduces Electoral
Competition.'' Proceedings of the National
Academy of Sciences, Vol. 120, No. 25, e2217322120.
|
Imai, Kosuke and Zhichao
Jiang. (2023). ``Principal
Fairness for Human and Algorithmic Decision-Making.''
Statistical Science, Vol. 38, No. 2 (July),
pp317-328. |
McCartan, Cory, Tyler Simko, and Kosuke
Imai. (2023). ``Researchers
need better access to US Census data.''
Science, Vol. 380, No. 6648 pp. 902-903. |
Imai, Kosuke, Zhichao Jiang, D. James
Greiner, Ryan Halen, and Sooahn Shin. (2023). ``Experimental Evaluation of Algorithm-Assisted
Human Decision-Making: Application to Pretrial Public Safety
Assessment.'' (with discussion) Journal of the
Royal Statistical Society, Series A (Statistics in Society),
Vol. 186, No. 2 (April), pp. 167-189. Read before the Royal
Statistical Society. |
Rosenman, Evan T.R., Santiago Olivella,
and Kosuke Imai. (2023). ``Race and ethnicity
data for first, middle, and last names.''
Scientific Data, Vol. 10, No. 299, pp. 1-11. |
Imai, Kosuke and Michael Lingzhi
Li. (2023). ``Experimental
Evaluation of Individualized Treatment Rules.''
Journal of the American Statistical Association,
Vol. 118, No. 541, pp. 242-256. |
Kenny, Christopher T., Shiro Kuriwaki, Cory
McCartan, Evan Rosenman, Tyler Simko, and Kosuke
Imai. (2023). ``Comment: The
Essential Role of Policy Evaluation for the 2020 Census Disclosure
Avoidance System.'' Harvard Data Science
Review, Special Issue 2: Dierential Privacy for the 2020
U.S. Census (January). |
Fan, Jianqing, Kosuke Imai, Inbeom Lee, Han
Liu, Yang Ning, and Xiaolin Yang. (2023). ``Optimal Covariate Balancing Conditions
in Propensity Score Estimation.'' Journal of
Business & Economic Statistics, Vol. 41, No. 1,
pp. 97-110. |
Imai, Kosuke, Santiago Olivella, and Evan
T.R. Rosenman. (2022). ``Addressing Census data problems in
race imputation via fully Bayesian Improved Surname Geocoding and
name supplements.'' Science Advances,
Vol. 8, No. 49, pp. 1-10. |
Papadogeorgou, Georgia, Kosuke Imai, Jason
Lyall, and Fan Li. (2022). ``Causal Inference with Spatio-temporal
Data: Estimating the Effects of Airstrikes on Insurgent Violence
in Iraq.'' Journal of the Royal Statistical
Society, Series B (Statistical Methodology), Vol. 84, No. 5
(November), pp. 1969-1999. |
McCartan, Cory, Christopher T. Kenny, Tyler
Simko, George Garcia III, Kevin Wang, Melissa Wu, Shiro Kuriwaki,
and Kosuke Imai. (2022). ``Simulated redistricting plans for the
analysis and evaluation of redistricting in the United
States.'' Scientific Data, Vol. 9, No. 689,
pp. 1-10. |
Olivella, Santiago, Tyler Pratt, and
Kosuke Imai. (2022). ``Dynamic
Stochastic Blockmodel Regression for Network Data: Application
to International Militarized Conflicts..''
Journal of the American Statistical Association,
Vol. 117, No. 539, pp. 1068-1081. |
de la Cuesta, Brandon, Naoki Egami, and
Kosuke Imai. (2022) ``Improving
the External Validity of Conjoint Analysis: The Essential Role of
Profile Distribution.'' Political Analysis,
Vol. 30, No. 1 (January), pp. 19-45. |
Kenny, Christopher T., Shiro Kuriwaki, Cory
McCartan, Evan T.R. Rosenman, Tyler Simko, and Kosuke Imai. (2021)
``The Use of Differential Privacy for
Census Data and its Impact on Redistricting: The Case of the 2020
U.S. Census.'' Science Advances, Vol. 7, No. 7
(October), pp. 1-17. |
Imai, Kosuke and James Lo. (2021). ``Robustness of Empirical Evidence
for the Democratic Peace: A Nonparametric Sensitivity
Analysis.'' International Organization,
Vol. 75, No. 3 (Summer), pp. 901-919. |
Imai, Kosuke, Zhichao Jiang, and Anup
Malani. (2021). ``Causal
Inference with Interference and Noncompliance in Two-Stage
Randomized Experiments.'' Journal of the
American Statistical Association, Vol. 116, No. 534,
pp. 632-644. |
Imai, Kosuke and In Song Kim. (2021). ``On the Use of Two-way Fixed Effects
Regression Models for Causal Inference with Panel
Data.'' Political Analysis, Vol. 29, No. 3
(July), pp. 405-415. |
Imai, Kosuke, and Zhichao
Jiang. (2020). ``Identification and Sensitivity Analysis
of Contagion Effects in Randomized Placebo-Controlled
Trials.'' Journal of the Royal Statistical
Society, Series A (Statistics in Society), Vol. 183, No. 4
(October), pp. 1637-1657. |
Fifield, Benjamin, Michael Higgins, Kosuke
Imai, and Alexander Tarr. (2020). ``Automated Redistricting Simulation Using
Markov Chain Monte Carlo.'' Journal of
Computational and Graphical Statistics, Vol. 29, No. 4,
pp. 715-728. |
Fifield, Benjamin, Kosuke Imai, Jun
Kawahara, and Christopher T. Kenny. (2020). ``The Essential Role of Empirical
Validation in Legislative Redistricting Simulation.''
Statistics and Public Policy, Vol. 7, No. 1, pp
52-68. |
Ning, Yang, Sida Peng, and Kosuke
Imai. (2020). ``Robust Estimation
of Causal Effects via High-Dimensional Covariate Balancing
Propensity Score..'' Biometrika, Vol. 107,
No. 3 (September), pp. 533-554. |
Chou, Winston, Kosuke Imai, and Bryn
Rosenfeld. (2020). ``Sensitive
Survey Questions with Auxiliary Information.''
Sociological Methods & Research, Vol. 49, No. 2 (May),
pp. 418-454. |
Imai, Kosuke, Gary King, and Carlos
Velasco Rivera. (2020). ``Do
Nonpartisan Programmatic Policies Have Partisan Electoral Effects?
Evidence from Two Large Scale Randomized
Experiments.'' Journal of Politics,
Vol. 82, No. 2 (April), pp. 714-730. |
Zhao, Shandong, David A. van Dyk, and
Kosuke Imai. (2020). ``Propensity-Score Based Methods for Causal
Inference in Observational Studies with Non-Binary
Treatments.'' Statistical Methods in Medical
Research, Vol. 29, No. 3 (March), pp. 709-727.
|
Lyall, Jason, Yang-Yang Zhou, and Kosuke
Imai. (2020). ``Can Economic
Assistance Shape Combatant Support in Wartime? Experimental
Evidence from Afghanistan.'' American Political
Science Review, Vol. 114, No. 1 (February), pp. 126-143.
|
Kim, In Song, Steven Liao, and Kosuke
Imai. (2020). ``Measuring Trade
Profile with Granular Product-level Trade Data.''
American Journal of Political Science, Vol. 64, No. 1
(January), pp. 102-117.
|
Enamorado, Ted, and Kosuke
Imai. (2019). ``Validating
Self-reported Turnout by Linking Public Opinion Surveys with
Administrative Records.'' Public Opinion
Quarterly, Vol. 83, No. 4 (Winter), pp. 723-748.
|
Blair, Graeme, Winston Chou, and Kosuke
Imai. (2019). ``List
Experiments with Measurement Error.'' Political
Analysis, Vol. 27, No. 4 (October), pp. 455-480.
|
Egami, Naoki, and Kosuke
Imai. (2019). ``Causal Interaction in
Factorial Experiments: Application to Conjoint
Analysis.'' Journal of the American Statistical
Association, Vol. 114, No. 526 (June), pp. 529-540.
|
Enamorado, Ted, Benjamin Fifield, and Kosuke
Imai. (2019). ``Using a
Probabilistic Model to Assist Merging of Large-scale
Administrative Records.'' American Political
Science Review, Vol. 113, No. 2 (May), pp. 353-371.
|
Imai, Kosuke and In Song Kim. (2019). ``When Should We Use Unit Fixed
Effects Regression Models for Causal Inference with Longitudinal
Data?.'' American Journal of Political
Science, Vol. 63, No. 2 (April), pp. 467-490.
|
Imai, Kosuke, and Zhichao
Jiang. (2018).``A Sensitivity
Analysis for Missing Outcomes Due to Truncation-by-Death under the
Matched-Pairs Design.'' Statistics in
Medicine, Vol. 37, No. 20 (September), pp. 2907-2922.
|
Fong, Christian, Chad Hazlett, and Kosuke
Imai. (2018). ``Covariate Balancing
Propensity Score for a Continuous Treatment: Application to the
Efficacy of Political Advertisements.'' Annals of
Applied Statistics, Vol. 12, No. 1,
pp. 156-177.
|
Benjamin, Daniel J., et al.
(2018). ``Redefine
Statistical Significance.'' Nature Human
Behaviour. Vol. 2, No. 1, pp. 6-10. |
Hirose, Kentaro, Kosuke Imai, and Jason
Lyall. (2017). ``Can Civilian
Attitudes Predict Insurgent Violence?: Ideology and Insurgent
Tactical Choice in Civil War.'' Journal of Peace
Research, Vol. 51, No. 1 (January), pp. 47-63. Winner of the
Nils Petter Gleditsch Article of the Year Award. Story
by Princeton's communication office.
|
Imai, Kosuke, James Lo, and Jonathan
Olmsted. (2016). ``Fast
Estimation of Ideal Points with Massive Data.''
American Political Science Review, Vol. 110, No. 4
(December), pp. 631-656.
|
Rosenfeld, Bryn, Kosuke Imai, and Jacob
Shapiro. (2016). ``An Empirical
Validation Study of Popular Survey Methodologies for Sensitive
Questions.'' American Journal of Political
Science, Vol. 60, No. 3 (July), pp. 783-802.
|
Imai, Kosuke and Kabir
Khanna. (2016). ``Improving
Ecological Inference by Predicting Individual Ethnicity from Voter
Registration Record.'' Political Analysis,
Vol. 24, No. 2 (Spring), pp. 263-272.
|
Blair, Graeme, Kosuke Imai, and Yang-Yang
Zhou. (2015). ``Design and
Analysis of the Randomized Response Technique.''
Journal of the American Statistical Association, Vol. 110,
No. 511 (September), pp. 1304-1319.
|
Imai, Kosuke and Marc
Ratkovic. (2015). ``Robust Estimation
of Inverse Probability Weights for Marginal Structural
Models.'' Journal of the American Statistical
Association, Vol. 110, No. 511 (September), pp. 1013-1023.
(lead article)
|
Lyall, Jason, Yuki Shiraito, and Kosuke
Imai. (2015). ``Coethnic Bias
and Wartime Informing.'' Journal of
Politics, Vol. 77, No. 3 (July), p. 833-848.
|
Imai, Kosuke, Bethany Park, and Kenneth
Greene. (2015). ``Using the
Predicted Responses from List Experiments as Explanatory Variables
in Regression Models.'' Political Analysis,
Vol. 23, No. 2 (Spring), pp. 180-196. Translated in Portuguese
and Reprinted in Revista Debates Vol. 9, No 1.
|
Blair, Graeme, Kosuke Imai, and Jason
Lyall. (2014). ``Comparing and
Combining List and Endorsement Experiments: Evidence from
Afghanistan.'' American Journal of Political
Science, Vol. 58, No. 4 (October), pp. 1043-1063.
|
Tingley, Dustin, Teppei Yamamoto, Luke
Keele, and Kosuke Imai. (2014). ``mediation: R Package for Causal
Mediation Analysis.'' Journal of Statistical
Software, Vol. 59, No. 5 (August), pp. 1-38.
|
Imai, Kosuke and Marc
Ratkovic. (2014). ``Covariate
Balancing Propensity Score.'' Journal of the Royal
Statistical Society, Series B (Statistical Methodology),
Vol. 76, No. 1 (January), pp. 243-263.
|
Lyall, Jason, Graeme Blair, and Kosuke
Imai. (2013). ``Explaining Support
for Combatants during Wartime: A Survey Experiment in
Afghanistan.'' American Political Science
Review, Vol. 107, No. 4 (November), pp. 679-705. Winner of
the Pi Sigma Alpha Award.
|
Imai, Kosuke and Teppei
Yamamoto. (2013). ``Identification and Sensitivity Analysis for
Multiple Causal Mechanisms: Revisiting Evidence from Framing
Experiments.'' Political Analysis, Vol. 21,
No. 2 (Spring), pp. 141-171. (lead article)
|
Imai, Kosuke and Marc
Ratkovic. (2013). ``Estimating
Treatment Effect Heterogeneity in Randomized Program
Evaluation.'' Annals of Applied
Statistics, Vol. 7, No. 1 (March), pp. 443-470. Winner of
the Tom Ten Have Memorial Award. Reprinted in Advances in
Political Methodology, R. Franzese, Jr. ed., Edward
Elger, 2017.
|
Imai, Kosuke, Dustin Tingley, and Teppei
Yamamoto. (2013). ``Experimental
Designs for Identifying Causal Mechanisms.'' (with
discussions) Journal of the Royal Statistical Society, Series A
(Statistics in Society), Vol. 176, No. 1 (January),
pp. 5-51. (lead article) Read before the Royal Statistical Society
in March, 2012.
|
Imai, Kosuke, and Dustin
Tingley. (2012). ``A Statistical
Method for Empirical Testing of Competing
Theories.'' American Journal of Political
Science, Vol. 56, No. 1 (January), pp. 218-236.
|
Blair, Graeme and Kosuke
Imai. (2012). ``Statistical
Analysis of List Experiments.'' Political
Analysis, Vol. 20, No. 1 (Winter), pp. 47-77.
|
Imai, Kosuke, Luke Keele, Dustin Tingley,
and Teppei Yamamoto. (2011). ``Unpacking the Black Box of
Causality: Learning about Causal Mechanisms from Experimental and
Observational Studies.'' American Political
Science Review, Vol. 105, No. 4 (November),
pp. 765-789. Reprinted in Advances in Political
Methodology, R. Franzese, Jr. ed., Edward Elger, 2017.
|
Bullock, Will, Kosuke Imai, and Jacob
Shapiro. (2011). ``Statistical
Analysis of Endorsement Experiments: Measuring Support for
Militant Groups in Pakistan.'' Political
Analysis, Vol. 19, No. 4 (Autumn), pp. 363-384. (lead article)
|
Imai, Kosuke. (2011). ``Multivariate Regression Analysis for the Item
Count Technique.'' Journal of the American
Statistical Association, Vol. 106, No. 494 (June),
pp. 407-416. (featured
article) |
Imai, Kosuke, and Aaron
Strauss. (2011). ``Estimation of
Heterogeneous Treatment Effects from Randomized Experiments, with
Application to the Optimal Planning of the Get-out-the-vote
Campaign.'' Political Analysis, Vol. 19,
No. 1 (Winter), pp. 1-19. (lead article) Winner of Political
Analysis Editors' Choice Award. |
Ho, Daniel E., Kosuke Imai, Gary King, and
Elizabeth Stuart. (2011). ``MatchIt: Nonparametric
Preprocessing for Parametric Causal Inference.''
Journal of Statistical Software, Vol. 42, No. 8 (Special
Volume on Political Methodology), pp. 1-28. |
Imai, Kosuke, Ying Lu, and Aaron
Strauss. (2011). ``eco: R
Package for Ecological Inference in 2 x 2 Tables.''
Journal of Statistical Software, Vol. 42, No. 5 (Special
Volume on Political Methodology), pp. 1-23. |
Imai, Kosuke, Luke Keele, and Dustin
Tingley. (2010). ``A General
Approach to Causal Mediation
Analysis.'' Psychological Methods, Vol. 15,
No. 4 (December), pp. 309-334. (lead article) |
Imai, Kosuke, and Teppei
Yamamoto. (2010). ``Causal Inference
with Differential Measurement Error: Nonparametric Identification
and Sensitivity Analysis.'' American Journal of
Political Science, Vol. 54, No. 2 (April),
pp. 543-560. |
Imai, Kosuke, Luke Keele, and Teppei
Yamamoto. (2010). ``Identification,
Inference, and Sensitivity Analysis for Causal Mediation
Effects.'' Statistical Science, Vol. 25, No. 1
(February), pp. 51-71. |
Imai, Kosuke, Gary King, and Clayton
Nall. (2009). ``The Essential Role
of Pair Matching in Cluster-Randomized Experiments, with
Application to the Mexican Universal Health Insurance
Evaluation.'' (with discussions and
rejoinder) Statistical Science, Vol. 24, No. 1 (February),
pp. 29-53. |
King, Gary, Emmanuela Gakidou, Kosuke Imai,
Jason Lakin, Ryan T. Moore, Clayton Nall, Nirmala Ravishankar, Manett
Vargas, Martha María Téllez-Rojo, Juan Eugenio Hernández Ávila,
Mauricio Hernández Ávila, and Héctor Hernández
Llamas. (2009). ``Public Policy for the
Poor? A Randomised Assessment of the Mexican Universal Health
Insurance Programme." (with a comment) The
Lancet, Vol. 373, No. 9673 (April), pp. 1447-1454. |
Imai,
Kosuke. (2009). ``Statistical
Analysis of Randomized Experiments with Nonignorable Missing
Binary Outcomes: An Application to a Voting
Experiment.'' Journal of the Royal Statistical
Society, Series C (Applied Statistics), Vol. 58, No. 1
(February), pp. 83-104. |
Imai, Kosuke, Gary King, and Olivia
Lau. (2008). ``Toward A Common Framework of Statistical
Analysis and Development.'' Journal of
Computational and Graphical Statistics, Vol. 17, No. 4
(December), pp. 892-913. |
Imai, Kosuke. (2008). ``Variance Identification and
Efficiency Analysis in Randomized Experiments under the Matched-Pair
Design.'' Statistics in Medicine, Vol. 27,
No. 24 (October), pp. 4857-4873. |
Ho, Daniel E., and Kosuke
Imai. (2008). ``Estimating
Causal Effects of Ballot Order from a Randomized Natural Experiment:
California Alphabet Lottery, 1978-2002.'' Public
Opinion Quarterly, Vol. 72, No. 2 (Summer), pp. 216-240.
|
Imai, Kosuke, Gary King, and Elizabeth
A. Stuart. (2008). ``Misunderstandings among
Experimentalists and Observationalists about Causal
Inference.'' Journal of the Royal Statistical
Society, Series A (Statistics in Society), Vol. 171, No. 2
(April), pp. 481-502. Reprinted in Field Experiments and
their Critics, D. Teele ed. (2014), New Haven: Yale
University Press. |
Imai, Kosuke, Ying Lu, and Aaron
Strauss. (2008). ``Bayesian and Likelihood Inference for 2 x 2
Ecological Tables: An Incomplete Data Approach.''
Political Analysis, Vol. 16, No. 1 (Winter), pp. 41-69. |
Imai, Kosuke. (2008).``Sharp Bounds on the Causal Effects in
Randomized Experiments with
``Truncation-by-Death''.'' Statistics & Probability
Letters, Vol. 78, No. 2 (February), pp. 144-149. |
Imai, Kosuke, and Samir
Soneji. (2007). ``On the Estimation of
Disability-Free Life Expectancy: Sullivan's Method and Its
Extension.'' Journal of the American Statistical
Association, Vol. 102, No. 480 (December), pp. 1199-1211. |
Horiuchi, Yusaku, Kosuke Imai, and
Naoko Taniguchi. (2007). ``Designing and
Analyzing Randomized Experiments: Application to a Japanese
Election Survey Experiment.'' American
Journal of Political Science, Vol. 51, No. 3 (July),
pp. 669-687. |
Ho, Daniel E., Kosuke Imai, Gary King, and
Elizabeth A. Stuart. (2007). ``Matching as
Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal
Inference.'' Political Analysis, Vol. 15,
No.3 (Summer), pp. 199-236. (lead article) Winner of Miller Prize. |
Ho, Daniel E., and Kosuke
Imai. (2006). ``Randomization Inference
with Natural Experiments: An Analysis of Ballot Effects in the
2003 California Recall Election.'' Journal of the
American Statistical Association, Vol. 101, No. 475
(September), pp. 888-900. |
Imai, Kosuke, and David A. van
Dyk. (2005). ``MNP: R Package
for Fitting the Multinomial Probit Model.''
Journal of Statistical Software, Vol. 14, No. 3 (May),
pp. 1-32. abstract
reprinted in Journal of Computational and Graphical
Statistics, (2005) Vol. 14, No. 3 (September), p. 747. |
Imai, Kosuke. (2005). ``Do Get-Out-The-Vote Calls Reduce Turnout? The
Importance of Statistical Methods for Field
Experiments.'' American Political Science
Review, Vol. 99, No. 2 (May), pp. 283-300.
|
Imai, Kosuke, and David A. van
Dyk. (2005). ``A Bayesian Analysis of the
Multinomial Probit Model Using Marginal Data
Augmentation.'' Journal of Econometrics,
Vol. 124, No. 2 (February), pp. 311-334. |
Imai, Kosuke, and David A. van
Dyk. (2004). ``Causal Inference With
General Treatment Regimes: Generalizing the Propensity
Score.'' Journal of the American Statistical
Association, Vol. 99, No. 467
(September), pp. 854-866. |
Imai, Kosuke, and Gary King. (2004). ``Did Illegal Overseas Absentee
Ballots Decide the 2000 U.S. Presidential Election?.''
Perspectives on Politics, Vol. 2, No. 3 (September),
pp.537-549. Our analysis is a part of The New York Times article, ``How
Bush Took Florida: Mining the Overseas Absentee Vote'' By David
Barstow and Don van Natta Jr. July 15, 2001, Page 1, Column 1. |
Imai, Kosuke, Michael Rosenblum, and Mark
Rothmann. (2023). ``14th
Annual University of Pennsylvania Conference on statistical issues
in clinical trials/subgroup analysis in clinical trials:
Opportunities and challenges (afternoon panel
discussion).'' Clinical Trials, Vol. 24, No. 4,
pp. 405-415. |
Imai, Kosuke, Zhichao Jiang, D. James
Greiner, Ryan Halen, and Sooahn Shin. (2023). ``Authors' Reply to the
Discussion of `Experimental Evaluation of Algorithm-Assisted Human
Decision-Making: Application to Pretrial Public Safety
Assessment.''' Journal of the Royal Statistical
Society, Series A (Statistics in Society), Vol. 186, No. 2
(April), pp. 212–216. |
Imai, Kosuke, and Yang
Ning. (2023). ``Covariate Balancing Propensity Score.''
Handbook of Matching and Weighting Adjustments for Causal
Inference. Zubizarreta, Jose R., Elizabeth A. Stuart, Dylan
S. Small, and Paul R. Rosenbaum (eds). Chapman &
Hall. pp. 283-292. |
Imai, Kosuke. (2022). ``Causal
Diagrams and Social Science Research.''
Probabilistic and Causal Inference: The Works of Judea
Pearl. Geffner, Hector, Rina Dechter, Joseph Y. Halpern,
(eds). Association for Computing Machinery and Morgan &
Claypool, pp. 647-654. |
Imai, Kosuke, and Zhichao
Jiang. (2019). ``Comment: The Challenges of
Multiple Causes.'' Journal of the American
Statistical Association, Vol. 114, No. 528,
pp. 1605-1610. |
de la Cuesta, Brandon and Kosuke
Imai. (2016). ``Misunderstandings
about the Regression Discontinuity Design in the Study of Close
Elections.'' Annual Review of Political
Science, Vol. 19, pp. 375-396. |
Imai, Kosuke. (2016). ``Book Review of Causal Inference
for Statistics, Social, and Biomedical Sciences: An
Introduction. by Guido W. Imbens and Donald
B. Rubin.'' Journal of the American Statistical
Association, Vol. 111, No. 515,
pp. 1365-1366. |
Imai, Kosuke, Bethany Park, and Kenneth
F. Greene. (2015). ``Usando as respostas
previsiveis da abordagem list-experiments como variáveis
explicativas em modelos de regressao.'' Revista
Debates, Vol. 9, No. 1, pp. 121-151. First printed in
Political Analysis, Vol. 23, No. 2 (Spring). |
Imai, Kosuke, Luke Keele, Dustin Tingley,
and Teppei Yamamoto. (2014). ``Comment on Pearl: Practical
Implications of Theoretical Results for Causal Mediation
Analysis.'' Psychological Methods, Vol. 19,
No. 4 (December), 482-487. |
Imai, Kosuke, Gary King, and Elizabeth
A. Stuart. (2014). ``Misunderstandings
among Experimentalists and Observationalists about Causal
Inference.'' in Field Experiments and their
Critics: Essays on the Uses and Abuses of Experimentation in the
Social Sciences, D. L. Teele ed., New Haven: Yale University
Press, pp. 196-227. First printed in Journal of the Royal
Statistical Society, Series A (Statistics in Society), Vol. 171,
No. 2 (April). |
Imai, Kosuke, Dustin Tingley, and Teppei
Yamamoto. (2013). ``Reply to
Discussions of ``Experimental Designs for Identifying Causal
Mechanisms.'' Journal of the Royal Statistical
Society, Series A (Statistics in Society), Vol. 173, No. 1
(January), pp. 46-49. |
Imai, Kosuke. (2012). ``Comments: Improving Weighting
Methods for Causal Mediation Analysis.''
Journal of Research on Educational Effectiveness,
Vol. 5, No. 3, pp. 293-295. |
Imai, Kosuke. (2011). ``Introduction to the Virtual Issue:
Past and Future Research Agenda on Causal
Inference.'' Political Analysis, Virtual
Issue: Causal Inference and Political
Methodology. |
Imai, Kosuke, Booil Jo, and Elizabeth
A. Stuart. (2011). ``Commentary: Using Potential
Outcomes to Understand Causal Mediation
Analysis.'' Multivariate Behavioral
Research, Vol. 46, No. 5, pp. 842-854. |
Imai, Kosuke, Luke Keele, Dustin Tingley,
and Teppei Yamamoto. (2010). ``Causal Mediation Analysis Using
R,'' in Advances in Social Science Research
Using R, ed. H. D. Vinod, New York: Springer (Lecture Notes
in Statistics), pp. 129-154. |
Imai, Kosuke, Gary King, and Clayton
Nall. (2009). ``Rejoinder:
Matched Pairs and the Future of Cluster-Randomized
Experiments.'' Statistical Science, Vol. 24,
No. 1 (February), pp. 65-72. |
Svyatkovskiy, Alexey, Kosuke Imai, Mary
Kroeger, and Yuki Shiraito. (2016). ``Large-scale text processing pipeline
with Apache Spark.'' IEEE International Conference
on Big Data, Washington, DC, pp. 3928-3935. |
Goldstein, Daniel, Kosuke Imai, Anja
S. Goritz, and Peter M. Gollwitzer. (2008). ``Nudging Turnout: Mere Measurement and
Implementation Planning of Intentions to Vote.''
|
Ho, Daniel E. and Kosuke Imai.
(2004). ``The
Impact of Partisan Electoral Regulation: Ballot Effects from the
California Alphabet Lottery, 1978-2002,''
Princeton Law & Public Affairs Paper No. 04-001: Harvard
Public Law Working Paper No. 89. |
Imai, Kosuke. (2003) Essays on
Political Methodology, Ph.D. Thesis. Department of Government,
Harvard University. Winner of the Harvard University Toppan
Prize for Best Dissertation in Political Science.
|
Imai, Kosuke. (2003) ``Review of Jeff Gill's Bayesian
Methods: A Social and Behavioral Sciences
Approach,'' The Political
Methodologist, Vol. 11, No. 1, pp. 9-10. |
Imai, Kosuke, and Jeremy Weinstein.
(2000) ``Measuring the Economic
Impact of Civil War,'' Harvard University Center
for International Development, Working Paper Series, No. 51. |
Imai, Kosuke. (2022). ``Ippyo no Kakusa:
Algorithm de Kaizen Dekiru.'' Nikkei
Business, December 19, pp.72-75. |
Imai, Kosuke. (2007). ``Keiryo Seijigaku niokeru
Ingateki Suiron (Causal Inference in Quantitative Political
Science).''
Leviathan, Vol. 40, pp. 224-233. |
Horiuchi, Yusaku, Kosuke Imai, and
Naoko Taniguchi. (2005). ``Seisaku Jyoho to Tohyo
Sanka: Field Jikken ni yoru Kensyo (Policy Information and Voter
Participation: A Field Experiment).'' Nenpo
Seijigaku (The Annals of the Japanese Political Science
Association), 2005-I, pp. 161-180. |
Taniguchi, Naoko, Yusaku Horiuchi, and
Kosuke Imai. (2004). ``Seito Saito no Etsuran ha Tohyo Kodo ni
Eikyo Suruka? (Does Visiting Political Pary Websites Influence Voting
Behavior?).'' Nikkei Research Report,
Vol. IV, pp. 16-19. |