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Citation Profile [Updated: 2026-11-05 10:50:02]
5 Years H Index
9
Impact Factor (IF)
0.12
5 Years IF
0.1
Data available in this report

[Raw data] [50 most cited papers] [50 most relevant papers] [cites used to compute IF] [Recent citations ][Frequent citing series ] [more data in EconPapers] [trace new citations] [Missing citations? Add them now] [Incorrect content? Let us know]

Main indicators
Raw Data

 

IF AIF CIF IF5 DOC CDO CIT NCI CCU D2Y C2Y D5Y C5Y SC %SC CiY II AII
2013 0 0.53 0.08 0 12 12 8 1 1 0 0 0 1 0.08 0.23
2014 0 0.53 0.08 0 13 25 19 2 3 12 12 0 2 0.15 0.22
2015 0.08 0.52 0.07 0.08 17 42 56 2 6 25 2 25 2 0 0 0.21
2016 0.03 0.49 0.07 0.05 15 57 4 2 10 30 1 42 2 0 0 0.2
2017 0.03 0.5 0.09 0.09 18 75 79 6 17 32 1 57 5 1 16.7 1 0.06 0.2
2018 0.09 0.52 0.1 0.07 18 93 126 9 26 33 3 75 5 0 3 0.17 0.22
2019 0.33 0.53 0.17 0.17 25 118 11 20 46 36 12 81 14 0 1 0.04 0.21
2020 0.47 0.62 0.28 0.34 27 145 11 41 87 43 20 93 32 4 9.8 0 0.29
2021 0.06 0.72 0.25 0.24 16 161 9 40 127 52 3 103 25 0 1 0.06 0.26
2022 0.02 0.71 0.22 0.25 25 186 4 40 167 43 1 104 26 0 0 0.21
2023 0.12 0.66 0.22 0.24 29 215 15 47 214 41 5 111 27 1 2.1 1 0.03 0.19
2024 0.07 0.69 0.18 0.07 31 246 4 45 259 54 4 122 9 0 0 0.2
2025 0.12 0.91 0.28 0.1 30 276 4 76 335 60 7 128 13 0 0 0.26
IF: Two years Impact Factor: C2Y / D2Y
AIF: Average Impact Factor for all series in RePEc in year y
CIF: Cumulative impact factor
IF5: Five years Impact Factor: C5Y / D5Y
DOC: Number of documents published in year y
CDO: Cumulative number of documents published until year y
CIT: Number of citations to papers published in year y
NCI: Number of citations in year y
CCU: Cumulative number of citations to papers published until year y
D2Y: Number of articles published in y-1 plus y-2
C2Y: Cites in y to articles published in y-1 plus y-2
D5Y: Number of articles published in y-1 until y-5
C5Y: Cites in y to articles published in y-1 until y-5
SC: selft citations in y to articles published in y-1 plus y-2
%SC: Percentage of selft citations in y to articles published in y-1 plus y-2
CiY: Cites in year y to documents published in year y
II: Immediacy Index: CiY / Documents.
AII: Average Immediacy Index for series in RePEc in year y
50 most cited documents in this series
#YearTitleCited
12018Synthetic Control Method: Inference, Sensitivity Analysis and Confidence Sets. (2018). Possebom, Vitor ; Firpo, Sergio ; Vitor, Possebom ; Sergio, Firpo. In: Journal of Causal Inference. RePEc:bpj:causin:v:6:y:2018:i:2:p:26:n:1.

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124
22017Design and Analysis of Experiments in Networks: Reducing Bias from Interference. (2017). Eckles, Dean ; Johan, Ugander ; Brian, Karrer ; Dean, Eckles . In: Journal of Causal Inference. RePEc:bpj:causin:v:5:y:2017:i:1:p:23:n:1.

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52
32015Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate. (2015). Cattaneo, Matias ; Rocio, Titiunik ; Brigham, Frandsen. In: Journal of Causal Inference. RePEc:bpj:causin:v:3:y:2015:i:1:p:1-24:n:1001.

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44
42018Synthetic Control Method: Inference, Sensitivity Analysis and Confidence Sets. (2018). Vitor, Possebom ; Sergio, Firpo. In: Journal of Causal Inference. RePEc:bpj:causin:v:6:y:2018:i:2:p:26:n:7.

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18
52014Testing for the Unconfoundedness Assumption Using an Instrumental Assumption. (2014). Johansson, Per ; Per, Johansson ; Xavier, de Luna . In: Journal of Causal Inference. RePEc:bpj:causin:v:2:y:2014:i:2:p:13:n:2.

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16
62017Longitudinal Mediation Analysis with Time-varying Mediators and Exposures, with Application to Survival Outcomes. (2017). Wenjing, Zheng ; Laan, Van Der. In: Journal of Causal Inference. RePEc:bpj:causin:v:5:y:2017:i:2:p:24:n:4.

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13
72017Design and Analysis of Experiments in Networks: Reducing Bias from Interference. (2017). Johan, Ugander ; Brian, Karrer ; Dean, Eckles . In: Journal of Causal Inference. RePEc:bpj:causin:v:5:y:2017:i:1:p:23:n:6.

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11
82020Instruments with Heterogeneous Effects: Bias, Monotonicity, and Localness. (2020). Huntington-Klein, Nick ; Nick, Huntington-Klein. In: Journal of Causal Inference. RePEc:bpj:causin:v:8:y:2020:i:1:p:182-208:n:1.

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9
92017Entropy Balancing is Doubly Robust. (2017). Qingyuan, Zhao ; Daniel, Percival . In: Journal of Causal Inference. RePEc:bpj:causin:v:5:y:2017:i:1:p:19:n:4.

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9
102023Double machine learning and automated confounder selection: A cautionary tale. (2023). Hünermund, Paul ; Caspi, Itamar ; Beyers, Louw ; Paul, Hunermund ; Itamar, Caspi. In: Journal of Causal Inference. RePEc:bpj:causin:v:11:y:2023:i:1:p:12:n:1.

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7
112017Semi-Parametric Estimation and Inference for the Mean Outcome of the Single Time-Point Intervention in a Causally Connected Population. (2017). Laan, Van Der ; Oleg, Sofrygin . In: Journal of Causal Inference. RePEc:bpj:causin:v:5:y:2017:i:1:p:35:n:3.

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7
122021Estimating the effect of central bank independence on inflation using longitudinal targeted maximum likelihood estimation. (2021). Rossi, Enzo ; Michael, Schomaker ; Philipp, Baumann. In: Journal of Causal Inference. RePEc:bpj:causin:v:9:y:2021:i:1:p:109-146:n:6.

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6
132015Targeted Learning of the Mean Outcome under an Optimal Dynamic Treatment Rule. (2015). Laan, Van Der ; Alexander, Luedtke. In: Journal of Causal Inference. RePEc:bpj:causin:v:3:y:2015:i:1:p:61-95:n:1004.

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5
142019Regression Adjustments for Estimating the Global Treatment Effect in Experiments with Interference. (2019). Alex, Chin. In: Journal of Causal Inference. RePEc:bpj:causin:v:7:y:2019:i:2:p:36:n:4.

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4
152016The Mechanics of Omitted Variable Bias: Bias Amplification and Cancellation of Offsetting Biases. (2016). Peter, Steiner ; Yongnam, Kim . In: Journal of Causal Inference. RePEc:bpj:causin:v:4:y:2016:i:2:p:22:n:2.

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4
162019Regression Adjustments for Estimating the Global Treatment Effect in Experiments with Interference. (2019). Alex, Chin. In: Journal of Causal Inference. RePEc:bpj:causin:v:7:y:2019:i:2:p:36:n:2.

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4
172016The Mechanics of Omitted Variable Bias: Bias Amplification and Cancellation of Offsetting Biases. (2016). Peter, Steiner ; Yongnam, Kim . In: Journal of Causal Inference. RePEc:bpj:causin:v:4:y:2016:i:2:p:0:n:3.

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4
182024An optimal transport approach to estimating causal effects via nonlinear difference-in-differences. (2024). William, Torous ; Philippe, Rigollet ; Florian, Gunsilius. In: Journal of Causal Inference. RePEc:bpj:causin:v:12:y:2024:i:1:p:26:n:1001.

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3
192023Randomized graph cluster randomization. (2023). Hao, Yin ; Johan, Ugander. In: Journal of Causal Inference. RePEc:bpj:causin:v:11:y:2023:i:1:p:53:n:1.

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3
202021A fundamental measure of treatment effect heterogeneity. (2021). Laan, Van Der ; Romain, Pirracchio ; Jonathan, Levy ; Alan, Hubbard . In: Journal of Causal Inference. RePEc:bpj:causin:v:9:y:2021:i:1:p:83-108:n:4.

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3
212018Covariate Balancing Inverse Probability Weights for Time-Varying Continuous Interventions. (2018). van Gameren, Edwin ; Edwin, Van Gameren ; Curtis, Huffman. In: Journal of Causal Inference. RePEc:bpj:causin:v:6:y:2018:i:2:p:17:n:3.

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3
222013A Class of Unbiased Estimators of the Average Treatment Effect in Randomized Experiments. (2013). Middleton Joel A., ; Aronow Peter M., . In: Journal of Causal Inference. RePEc:bpj:causin:v:1:y:2013:i:1:p:135-154:n:4.

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2
232019The Inflation Technique for Causal Inference with Latent Variables. (2019). Elie, Wolfe ; Robert, Spekkens ; Tobias, Fritz. In: Journal of Causal Inference. RePEc:bpj:causin:v:7:y:2019:i:2:p:51:n:3.

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2
242013Targeted Minimum Loss-Based Estimation of Causal Effects in Right-Censored Survival Data with Time-Dependent Covariates: Warfarin, Stroke, and Death in Atrial Fibrillation. (2013). van der Laan Mark J., ; Singer Daniel E., ; Go Alan S., ; Brooks Jordan C., . In: Journal of Causal Inference. RePEc:bpj:causin:v:1:y:2013:i:2:p:235-254:n:4.

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2
252019On the Interpretation of do(x)do(x). (2019). Judea, Pearl. In: Journal of Causal Inference. RePEc:bpj:causin:v:7:y:2019:i:1:p:6:n:9.

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2
262019The Inflation Technique for Causal Inference with Latent Variables. (2019). Elie, Wolfe ; Robert, Spekkens ; Tobias, Fritz. In: Journal of Causal Inference. RePEc:bpj:causin:v:7:y:2019:i:2:p:51:n:1.

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2
272023Sensitivity analysis for causal decomposition analysis: Assessing robustness toward omitted variable bias. (2023). Soojin, Park ; Shujie, MA ; Chioun, Lee ; Suyeon, Kang. In: Journal of Causal Inference. RePEc:bpj:causin:v:11:y:2023:i:1:p:23:n:1.

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2
282014Reducing Bias Amplification in the Presence of Unmeasured Confounding through Out-of-Sample Estimation Strategies for the Disease Risk Score. (2014). Richard, Wyss ; Til, Sturmer ; Mark, Lunt ; Glynn Robert J., ; Alan, Brookhart M.. In: Journal of Causal Inference. RePEc:bpj:causin:v:2:y:2014:i:2:p:16:n:4.

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2
292020When is a Match Sufficient? A Score-based Balance Metric for the Synthetic Control Method. (2020). Powell, David ; Layla, Parast ; Priscillia, Hunt ; Ann, Griffin Beth. In: Journal of Causal Inference. RePEc:bpj:causin:v:8:y:2020:i:1:p:209-228:n:10.

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2
302015Parameter Identifiability of Discrete Bayesian Networks with Hidden Variables. (2015). Stanghellini, Elena ; Marco, Valtorta ; Elena, Stanghellini ; John, Rhodes ; Elizabeth, Allman . In: Journal of Causal Inference. RePEc:bpj:causin:v:3:y:2015:i:2:p:189-205:n:4.

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2
312013Linear Models: A Useful “Microscope” for Causal Analysis. (2013). Judea, Pearl. In: Journal of Causal Inference. RePEc:bpj:causin:v:1:y:2013:i:1:p:155-170:n:6.

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2
322015Assumption Trade-Offs When Choosing Identification Strategies for Pre-Post Treatment Effect Estimation: An Illustration of a Community-Based Intervention in Madagascar. (2015). Ann, Weber ; Laan, Van Der ; Maya, Petersen. In: Journal of Causal Inference. RePEc:bpj:causin:v:3:y:2015:i:1:p:109-130:n:1002.

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2
332023Instrumental variable regression via kernel maximum moment loss. (2023). Rui, Zhang ; Bernhard, Scholkopf ; Krikamol, Muandet ; Masaaki, Imaizumi. In: Journal of Causal Inference. RePEc:bpj:causin:v:11:y:2023:i:1:p:42:n:1.

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2
342014Semiparametric Estimation of the Impacts of Longitudinal Interventions on Adolescent Obesity using Targeted Maximum-Likelihood: Accessible Estimation with the ltmle Package. (2014). Wang May C., ; Seto Edmund Y. W., ; Alan, Hubbard ; Decker Anna L., ; Crespi Catherine M., . In: Journal of Causal Inference. RePEc:bpj:causin:v:2:y:2014:i:1:p:14:n:4.

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1
352019Estimating Causal Effects of New Treatments Despite Self-Selection: The Case of Experimental Medical Treatments. (2019). Chad, Hazlett. In: Journal of Causal Inference. RePEc:bpj:causin:v:7:y:2019:i:1:p:8:n:8.

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1
362022Individualized treatment rules under stochastic treatment cost constraints. (2022). Hongxiang, Qiu ; Alex, Luedtke ; Marco, Carone . In: Journal of Causal Inference. RePEc:bpj:causin:v:10:y:2022:i:1:p:480-493:n:1.

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1
372015Balancing Score Adjusted Targeted Minimum Loss-based Estimation. (2015). Laan, Van Der ; David, Lendle Samuel ; Bruce, Fireman . In: Journal of Causal Inference. RePEc:bpj:causin:v:3:y:2015:i:2:p:139-155:n:1.

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1
382024An approach to nonparametric inference on the causal dose–response function. (2024). Laan, Van Der ; Maya, Petersen ; Elizabeth, Bukusi ; Thomas, Odeny ; Elvin, Geng ; Aaron, Hudson. In: Journal of Causal Inference. RePEc:bpj:causin:v:12:y:2024:i:1:p:28:n:1001.

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1
392019Approximate Kernel-Based Conditional Independence Tests for Fast Non-Parametric Causal Discovery. (2019). Kun, Zhang ; Shyam, Visweswaran ; Eric, Strobl. In: Journal of Causal Inference. RePEc:bpj:causin:v:7:y:2019:i:1:p:24:n:7.

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1
402023Exploiting neighborhood interference with low-order interactions under unit randomized design. (2023). Lee, Yu Christina ; Matthew, Eichhorn ; Mayleen, Cortez-Rodriguez. In: Journal of Causal Inference. RePEc:bpj:causin:v:11:y:2023:i:1:p:36:n:1.

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1
412016A Conditional Randomization Test to Account for Covariate Imbalance in Randomized Experiments. (2016). Pradipta, Sarkar ; Cassandra, Pattanayak ; Luke, Miratrix ; Jonathan, Hennessy ; Tirthankar, Dasgupta. In: Journal of Causal Inference. RePEc:bpj:causin:v:4:y:2016:i:1:p:61-80:n:3.

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1
422021Conditional as-if analyses in randomized experiments. (2021). Nicole, Pashley ; Luke, Miratrix ; Guillaume, Basse. In: Journal of Causal Inference. RePEc:bpj:causin:v:9:y:2021:i:1:p:264-284:n:5.

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1
432025Beyond conditional averages: Estimating the individual causal effect distribution. (2025). den Heuvel, Van ; Richard, Post. In: Journal of Causal Inference. RePEc:bpj:causin:v:13:y:2025:i:1:p:29:n:1002.

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1
442017Bridging Finite and Super Population Causal Inference. (2017). Luke, Miratrix ; Xinran, LI ; Peng, Ding. In: Journal of Causal Inference. RePEc:bpj:causin:v:5:y:2017:i:2:p:8:n:7.

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1
452022Estimating marginal treatment effects under unobserved group heterogeneity. (2022). Yanagi, Takahide ; Tadao, Hoshino. In: Journal of Causal Inference. RePEc:bpj:causin:v:10:y:2022:i:1:p:197-216:n:6.

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1
462020On the Monotonicity of a Nondifferentially Mismeasured Binary Confounder. (2020). Jose, Pea. In: Journal of Causal Inference. RePEc:bpj:causin:v:8:y:2020:i:1:p:150-163:n:9.

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1
472024Double machine learning and design in batch adaptive experiments. (2024). Art, Owen ; Harrison, LI. In: Journal of Causal Inference. RePEc:bpj:causin:v:12:y:2024:i:1:p:27:n:1001.

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1
482013Causal inference under multiple versions of treatment. (2013). VanderWeele Tyler J., ; Hernan Miguel A., . In: Journal of Causal Inference. RePEc:bpj:causin:v:1:y:2013:i:1:p:1-20:n:1.

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1
492014Targeted Maximum Likelihood Estimation for Dynamic and Static Longitudinal Marginal Structural Working Models. (2014). van der Laan Mark, ; Joshua, Schwab ; Michael, Schomaker ; Maya, Petersen ; Susan, Gruber ; Nello, Blaser . In: Journal of Causal Inference. RePEc:bpj:causin:v:2:y:2014:i:2:p:39:n:1.

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1
502015M-bias, Butterfly Bias, and Butterfly Bias with Correlated Causes – A Comment on Ding and Miratrix (2015). (2015). Felix, Thoemmes . In: Journal of Causal Inference. RePEc:bpj:causin:v:3:y:2015:i:2:p:253-258:n:9.

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1
50 most relevant documents in this series (papers most cited in the last two years)
#YearTitleCited
12018Synthetic Control Method: Inference, Sensitivity Analysis and Confidence Sets. (2018). Possebom, Vitor ; Firpo, Sergio ; Vitor, Possebom ; Sergio, Firpo. In: Journal of Causal Inference. RePEc:bpj:causin:v:6:y:2018:i:2:p:26:n:1.

Full description at Econpapers || Download paper

42
22015Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate. (2015). Cattaneo, Matias ; Rocio, Titiunik ; Brigham, Frandsen. In: Journal of Causal Inference. RePEc:bpj:causin:v:3:y:2015:i:1:p:1-24:n:1001.

Full description at Econpapers || Download paper

34
32017Design and Analysis of Experiments in Networks: Reducing Bias from Interference. (2017). Eckles, Dean ; Johan, Ugander ; Brian, Karrer ; Dean, Eckles . In: Journal of Causal Inference. RePEc:bpj:causin:v:5:y:2017:i:1:p:23:n:1.

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22
42017Design and Analysis of Experiments in Networks: Reducing Bias from Interference. (2017). Johan, Ugander ; Brian, Karrer ; Dean, Eckles . In: Journal of Causal Inference. RePEc:bpj:causin:v:5:y:2017:i:1:p:23:n:6.

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8
52014Testing for the Unconfoundedness Assumption Using an Instrumental Assumption. (2014). Johansson, Per ; Per, Johansson ; Xavier, de Luna . In: Journal of Causal Inference. RePEc:bpj:causin:v:2:y:2014:i:2:p:13:n:2.

Full description at Econpapers || Download paper

7
62017Longitudinal Mediation Analysis with Time-varying Mediators and Exposures, with Application to Survival Outcomes. (2017). Wenjing, Zheng ; Laan, Van Der. In: Journal of Causal Inference. RePEc:bpj:causin:v:5:y:2017:i:2:p:24:n:4.

Full description at Econpapers || Download paper

5
72023Double machine learning and automated confounder selection: A cautionary tale. (2023). Hünermund, Paul ; Caspi, Itamar ; Beyers, Louw ; Paul, Hunermund ; Itamar, Caspi. In: Journal of Causal Inference. RePEc:bpj:causin:v:11:y:2023:i:1:p:12:n:1.

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5
82020Instruments with Heterogeneous Effects: Bias, Monotonicity, and Localness. (2020). Huntington-Klein, Nick ; Nick, Huntington-Klein. In: Journal of Causal Inference. RePEc:bpj:causin:v:8:y:2020:i:1:p:182-208:n:1.

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5
92017Entropy Balancing is Doubly Robust. (2017). Qingyuan, Zhao ; Daniel, Percival . In: Journal of Causal Inference. RePEc:bpj:causin:v:5:y:2017:i:1:p:19:n:4.

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4
102019Regression Adjustments for Estimating the Global Treatment Effect in Experiments with Interference. (2019). Alex, Chin. In: Journal of Causal Inference. RePEc:bpj:causin:v:7:y:2019:i:2:p:36:n:2.

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4
112019Regression Adjustments for Estimating the Global Treatment Effect in Experiments with Interference. (2019). Alex, Chin. In: Journal of Causal Inference. RePEc:bpj:causin:v:7:y:2019:i:2:p:36:n:4.

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4
122021Estimating the effect of central bank independence on inflation using longitudinal targeted maximum likelihood estimation. (2021). Rossi, Enzo ; Michael, Schomaker ; Philipp, Baumann. In: Journal of Causal Inference. RePEc:bpj:causin:v:9:y:2021:i:1:p:109-146:n:6.

Full description at Econpapers || Download paper

3
132023Randomized graph cluster randomization. (2023). Hao, Yin ; Johan, Ugander. In: Journal of Causal Inference. RePEc:bpj:causin:v:11:y:2023:i:1:p:53:n:1.

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3
142018Synthetic Control Method: Inference, Sensitivity Analysis and Confidence Sets. (2018). Vitor, Possebom ; Sergio, Firpo. In: Journal of Causal Inference. RePEc:bpj:causin:v:6:y:2018:i:2:p:26:n:7.

Full description at Econpapers || Download paper

3
152024An optimal transport approach to estimating causal effects via nonlinear difference-in-differences. (2024). William, Torous ; Philippe, Rigollet ; Florian, Gunsilius. In: Journal of Causal Inference. RePEc:bpj:causin:v:12:y:2024:i:1:p:26:n:1001.

Full description at Econpapers || Download paper

3
162015Targeted Learning of the Mean Outcome under an Optimal Dynamic Treatment Rule. (2015). Laan, Van Der ; Alexander, Luedtke. In: Journal of Causal Inference. RePEc:bpj:causin:v:3:y:2015:i:1:p:61-95:n:1004.

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3
172023Sensitivity analysis for causal decomposition analysis: Assessing robustness toward omitted variable bias. (2023). Soojin, Park ; Shujie, MA ; Chioun, Lee ; Suyeon, Kang. In: Journal of Causal Inference. RePEc:bpj:causin:v:11:y:2023:i:1:p:23:n:1.

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2
182020When is a Match Sufficient? A Score-based Balance Metric for the Synthetic Control Method. (2020). Powell, David ; Layla, Parast ; Priscillia, Hunt ; Ann, Griffin Beth. In: Journal of Causal Inference. RePEc:bpj:causin:v:8:y:2020:i:1:p:209-228:n:10.

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2
192023Instrumental variable regression via kernel maximum moment loss. (2023). Rui, Zhang ; Bernhard, Scholkopf ; Krikamol, Muandet ; Masaaki, Imaizumi. In: Journal of Causal Inference. RePEc:bpj:causin:v:11:y:2023:i:1:p:42:n:1.

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2
202015Assumption Trade-Offs When Choosing Identification Strategies for Pre-Post Treatment Effect Estimation: An Illustration of a Community-Based Intervention in Madagascar. (2015). Ann, Weber ; Laan, Van Der ; Maya, Petersen. In: Journal of Causal Inference. RePEc:bpj:causin:v:3:y:2015:i:1:p:109-130:n:1002.

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2
Citing documents used to compute impact factor: 7
YearTitle
2025Enhancing the Merger Simulation Toolkit with ML/AI. (2025). Sullivan, Christopher ; Magnolfi, Lorenzo ; Collison, Jack ; Chiang, Harold D. In: Papers. RePEc:arx:papers:2506.05225.

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2025Higher-Order Causal Message Passing for Experimentation with Complex Interference. (2025). Xiong, Ruoxuan ; Shirani, Sadegh ; Overman, William ; Luo, Yuwei ; Bayati, Mohsen. In: Papers. RePEc:arx:papers:2411.00945.

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2025Investment in intangible assets and economic complexity. (2025). Uribe, Jorge. In: Research Policy. RePEc:eee:respol:v:54:y:2025:i:1:s0048733324001823.

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2025Evaluation of continuous treatment. (2025). Kotyrlo, Elena. In: Applied Econometrics. RePEc:ris:apltrx:021848.

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2025Semiparametric Triple Difference Estimators. (2025). Ghassami, Amiremad ; Kiyavash, Negar ; Akbari, Sina. In: Papers. RePEc:arx:papers:2502.19788.

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