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Scientists have been interested in estimating causal peer effects to understand how people's behaviors are affected by their network peers.
Randomization Tests for Peer Effects in Group Formation Experiments
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A New Approach To Causal Inference In Mortality Studies With A Sustained Exposure Period — Application to Control of the Healthy Worker Survivor Effect
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Linear Integral Equations
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Identification of Endogenous Social Effects: The Reflection Problem
Manski, C. F. (1993) · 1993
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Large Sample Estimation and Hypothesis
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Causal Inference in Infectious Diseases
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Crime and Social Interactions
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Finite-Sample Properties of Some Alternative GMM Estimators
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Marginal Structural Models and Causal Inference in Epidemiology
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Statistical Inference
Casella, G. and Berger, R. L. (2001) · 2001
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Peer Effects with Random Assignment: Results for Dartmouth Roommates
Sacerdote, B. (2001) · 2001
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Chain Graph Models and Their Causal Interpretations
Lauritzen, S. L. and Richardson, T. S. (2002) · 2002
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Regression-based Negative Control of Homophily in Dyadic Peer Effect Analysis
Liu, L. and Tchetgen Tchetgen, E. (2020) · 2002
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Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions
Ai, C. and Chen, X. (2003) · 2003
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Instrumental variable estimation of nonparametric models
Newey, W. K. and Powell, J. L. (2003) · 2003
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Mathematical Statistics
Shao, J. (2003) · 2003
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Some Identification Issues in Nonparametric Linear Models with Endogenous Regressors
Severini, T. A. and Tripathi, G. (2006) · 2006
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Linear Inverse Problems in Structural Econometrics Estimation based on Spectral Decomposition and Regularization
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Instrumental Variable Estimation of Nonseparable Models
Chernozhukov, V., Imbens, G. W., and Newey, W. K. (2007) · 2007
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The Spread of Obesity in A Large Social Network Over 32 years
Christakis, N. A. and Fowler, J. H. (2007) · 2007
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Influence and Correlation in Social Networks
Anagnostopoulos, A., Kumar, R., and Mahdian, M. (2008) · 2008
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Mostly Harmless Econometrics: An Empiricist’s Companion
Angrist, J. D. and Pischke, J.-f. (2008) · 2008
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Detecting Implausible Social Network Effects in Acne, Height, and Headaches: Longitudinal Analysis
Cohen-Cole, E. and Fletcher, J. M. (2008) · 2008
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Instrumental Variable Treatment of Nonclassical Measurement Error Models
Hu, Y. and Schennach, S. M. (2008) · 2008
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Identification of Peer Effects through Social Networks
Bramoullé, Y., Djebbari, H., and Fortin, B. (2009) · 2009
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Causality: Models, Reasoning and Inference
Pearl, J. (2009) · 2009
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An Introduction to Proximal Causal Learning
Tchetgen Tchetgen, E. J., Ying, A., Cui, Y., Shi, X., and Miao, W. (2020a) · 2009
Local Identification of Nonparametric and Semiparametric Models
Chen, X., Chernozhukov, V., Lee, S., and Newey, W. K. (2014) · 2014
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Measurement Bias and Effect Restoration in Causal Inference
Kuroki, M. and Pearl, J. (2014) · 2014
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Causal Diagrams for Interference
Ogburn, E. L. and VanderWeele, T. J. (2014) · 2014
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Estimating Peer Effects in Longitudinal Dyadic Data Using Instrumental Variables
O’Malley, A. J., Elwert, F., Rosenquist, J. N., Zaslavsky, A. M., and Christakis, N. A. (2014) · 2014
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Causal Inference for A Population of Causally Connected Units
van der Laan, M. J. (2014) · 2014
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On Negative Outcome Control of Unobserved Confounding as a Generalization of Difference-in-Differences
Sofer, T., Richardson, D. B., Colicino, E., Schwartz, J., and Tchetgen Tchetgen, E. J. (2016) · 2016
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Negative Controls: A Tool for Detecting Confounding and Bias in Observational Studies
Lipsitch, M., Tchetgen Tchetgen, E. J., and Cohen, T. (2010) · 2010
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Ruling out Latent Homophily in Social Networks
Ver Steeg, G. and Galstyan, A. (2010) · 2010
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Semiparametric Proximal Causal Inference
Cui, Y., Pu, H., Shi, X., Miao, W., and Tchetgen Tchetgen, E. (2020) · 2011
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Nonparametric Instrumental Regression
Darolles, S., Fan, Y., Florens, J.-P., and Renault, E. (2011) · 2011
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Peer Effects, Teacher Incentives, and The Impact of Tracking: Evidence from a Randomized Evaluation in Kenya
Duflo, E., Dupas, P., and Kremer, M. (2011) · 2011
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On the Completeness Condition in Nonparametric Instrumental Problems
D’Haultfoeuille, X. (2011) · 2011
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Examples of L2-complete and Boundedly-complete Distributions
Andrews, D. W. (2017) · 2017
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Estimating Average Causal Effects Under General Interference, With Application to A Social Network Experiment
Aronow, P. M. and Samii, C. (2017) · 2017
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Bias and High-Dimensional Adjustment in Observational Studies of Peer Effects
Eckles, D. and Bakshy, E. (2017) · 2017
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Causal Inference for Social Network Data
Ogburn, E. L., Sofrygin, O., Diaz, I., and van der Laan, M. J. (2017) · 2017
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Randomized experiments to detect and estimate social influence in networks
Taylor, S. J. and Eckles, D. (2017) · 2017
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Deaner, B. (2018) · 2018
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Identification of Causal Diffusion Effects Under Structural Stationarity
Egami, N. (2018) · 2018
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Non-Parametric Panel Data Models With Interactive Fixed Effects
Freyberger, J. (2018) · 2018
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Nonparametric Identification using Instrumental Variables: Sufficient Conditions for Completeness
Hu, Y. and Shiu, J.-L. (2018) · 2018
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Risk Ratios for Contagious Outcomes
Morozova, O., Cohen, T., and Crawford, F. W. (2018) · 2018
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Challenges to Estimating Contagion Effects From Observational Data
Ogburn, E. L. (2018) · 2018
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Randomization Inference for Peer Effects
Li, X., Ding, P., Lin, Q., Yang, D., and Liu, J. S. (2019) · 2019
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Identification and Estimation of Treatment and Interference Effects in Observational Studies On Networks
Forastiere, L., Airoldi, E. M., and Mealli, F. (2020) · 2020
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Limit Theorems for Network Dependent Random Variables
Kojevnikov, D., Marmer, V., and Song, K. (2020) · 2020
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Network Dependence Can Lead to Spurious Associations and Invalid Inference
Lee, Y. and Ogburn, E. L. (2020) · 2020
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Causal Inference, Social Networks and Chain Graphs
Ogburn, E. L., Shpitser, I., and Lee, Y. (2020) · 2020
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Multiply Robust Causal Inference With Double-Negative Control Adjustment for Categorical Unmeasured Confounding
Shi, X., Miao, W., Nelson, J. C., and Tchetgen Tchetgen, E. J. (2020) · 2020
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Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals
Ghassami, A., Ying, A., Shpitser, I., and Tchetgen Tchetgen, E. (2021) · 2021
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Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach
Kallus, N., Mao, X., and Uehara, M. (2021) · 2021
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Network Cluster-Robust Inference
Leung, M. P. (2021) · 2021
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Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations
McFowland III, E. and Shalizi, C. R. (2021) · 2021
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