Fetching the paper…
Reading the bibliography…
This paper studies the problem of optimally allocating treatments in the presence of spillover effects, using information from a (quasi-)experiment.
Identification and estimation of a partially linear regression model using network data
Auerbach, E. (2019) · 1903
Earlier work this paper cites.
Multiway cluster robust double/debiased machine learning
Chiang, H. D., K. Kato, Y. Ma, and Y. Sasaki (2019) · 1909
Earlier work this paper cites.
On colouring the nodes of a network
Brooks, R. L. (1941) · 1941
Earlier work this paper cites.
Estimating average causal effects under general interference, with application to a social network experiment
Aronow, P. M. and C. Samii (2017) · 1947
Earlier work this paper cites.
Identification of endogenous social effects: The reflection problem
Manski, C. F. (1993) · 1993
Earlier work this paper cites.
Estimation of regression coefficients when some regressors are not always observed
Robins, J. M., A. Rotnitzky, and L. P. Zhao (1994) · 1994
Earlier work this paper cites.
Weak convergence
Van Der Vaart, A. W. and J. A. Wellner (1996) · 1996
Earlier work this paper cites.
A note on inverse moments of binomial variates
Cribari-Neto, F., N. L. Garcia, and K. L. Vasconcellos (2000) · 2000
Earlier work this paper cites.
Recovering network structure from aggregated relational data using penalized regression
Alidaee, H., E. Auerbach, and M. P. Leung (2020) · 2001
Earlier work this paper cites.
Maximizing the spread of influence through a social network
Kempe, D., J. Kleinberg, and É. Tardos (2003) · 2003
Earlier work this paper cites.
Causal spillover effects using instrumental variables
Vazquez-Bare, G. (2020) · 2003
Earlier work this paper cites.
Statistical treatment rules for heterogeneous populations
Manski (2004) · 2004
Earlier work this paper cites.
Theory of classification: A survey of some recent advances
Boucheron, S., O. Bousquet, and G. Lugosi (2005) · 2005
Earlier work this paper cites.
What do randomized studies of housing mobility demonstrate? causal inference in the face of interference
Sobel, M. E. (2006) · 2006
Earlier work this paper cites.
Exact computation of max weighted score estimators
Florios, K. and S. Skouras (2008) · 2008
Earlier work this paper cites.
Toward causal inference with interference
Hudgens, M. G. and M. E. Halloran (2008) · 2008
Earlier work this paper cites.
Inferring optimal peer assignment from experimental data
Bhattacharya, D. (2009) · 2009
Earlier work this paper cites.
Asymptotics for statistical treatment rules
Hirano, K. and J. R. Porter (2009) · 2009
Earlier work this paper cites.
Minimax regret treatment choice with finite samples
Stoye, J. (2009) · 2009
Earlier work this paper cites.
Measuring the effects of segregation in the presence of social spillovers: A nonparametric approach
Graham, B. S., G. W. Imbens, and G. Ridder (2010) · 2010
Earlier work this paper cites.
Peer effects, teacher incentives, and the impact of tracking: Evidence from a randomized evaluation in kenya
Duflo, E., P. Dupas, and M. Kremer (2011) · 2011
Earlier work this paper cites.
Probability in banach spaces. classics in mathematics
Ledoux, M. and M. Talagrand (2011) · 2011
Earlier work this paper cites.
Policy choice in experiments with unknown interference
Viviano, D. (2020) · 2011
Earlier work this paper cites.
Inferring welfare maximizing treatment assignment under budget constraints
Bhattacharya, D. and P. Dupas (2012) · 2012
Earlier work this paper cites.
A 61-million-person experiment in social influence and political mobilization
Bond, R. M., C. J. Fariss, J. J. Jones, A. D. Kramer, C. Marlow, J. E. Settle, and J. H. Fowler (2012) · 2012
Earlier work this paper cites.
Social capital and social quilts: Network patterns of favor exchange
Jackson, M. O., T. Rodriguez-Barraquer, and X. Tan (2012) · 2012
Earlier work this paper cites.
Who should get vaccinated? individualized allocation of vaccines over sir network
Kitagawa, T. and G. Wang (2020) · 2012
Earlier work this paper cites.
A unified framework for high-dimensional analysis of m m -estimators with decomposable regularizers
Negahban, S. N., P. Ravikumar, M. J. Wainwright, and B. Yu (2012) · 2012
Cited alongside, same era.
Detecting spillover effects: Design and analysis of multilevel experiments
Sinclair, B., M. McConnell, and D. P. Green (2012) · 2012
Cited alongside, same era.
Minimax regret treatment choice with covariates or with limited validity of experiments
Stoye, J. (2012) · 2012
Cited alongside, same era.
On causal inference in the presence of interference
Tchetgen, E. J. T. and T. J. VanderWeele (2012) · 2012
Cited alongside, same era.
Statistical treatment choice based on asymmetric minimax regret criteria
Tetenov, A. (2012) · 2012
Cited alongside, same era.
The diffusion of microfinance
Banerjee, A., A. G. Chandrasekhar, E. Duflo, and M. O. Jackson (2013) · 2013
Optimal treatment allocations in space and time for on-line control of an emerging infectious disease
Laber, E. B., N. J. Meyer, B. J. Reich, K. Pacifici, J. A. Collazo, and J. M. Drake (2018) · 2018
Later among the works it cites.
High-dimensional probability: An introduction with applications in data science
Vershynin, R. (2018) · 2018
Later among the works it cites.
Offline multi-action policy learning: Generalization and optimization
Zhou, Z., S. Athey, and S. Wager (2018) · 2018
Later among the works it cites.
Using gossips to spread information: Theory and evidence from two randomized controlled trials
Banerjee, A., A. G. Chandrasekhar, E. Duflo, and M. O. Jackson (2019) · 2019
Closest in time.
Demand and welfare analysis in discrete choice models with social interactions
Bhattacharya, D., P. Dupas, and S. Kanaya (2019) · 2019
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
A probabilistic theory of pattern recognition
Devroye, L., L. Györfi, and G. Lugosi (2013) · 2013
Cited alongside, same era.
Predicting binary outcomes
Elliott, G. and R. P. Lieli (2013) · 2013
Cited alongside, same era.
Social networks and the identification of peer effects
Goldsmith-Pinkham, P. and G. W. Imbens (2013) · 2013
Cited alongside, same era.
Estimating the structure of social interactions using panel data
Manresa, E. (2013) · 2013
Cited alongside, same era.
Identification of treatment response with social interactions
Manski, C. F. (2013) · 2013
Cited alongside, same era.
Gossip: Identifying central individuals in a social network
Banerjee, A., A. G. Chandrasekhar, E. Duflo, and M. O. Jackson (2014) · 2014
Cited alongside, same era.
Tight lower bounds on the vc-dimension of geometric set systems
Csikós, M., N. H. Mustafa, and A. Kupavskii (2019) · 2019
Closest in time.
Seeding with costly network information
Eckles, D., H. Esfandiari, E. Mossel, and M. A. Rahimian (2019) · 2019
Closest in time.
General equilibrium effects of cash transfers: experimental evidence from kenya
Egger, D., J. Haushofer, E. Miguel, P. Niehaus, and M. W. Walker (2019) · 2019
Closest in time.
Equality-minded treatment choice
Kitagawa, T. and A. Tetenov (2019) · 2019
Closest in time.
Randomization inference for peer effects
Li, X., P. Ding, Q. Lin, D. Yang, and J. S. Liu (2019) · 2019
Closest in time.
Doubly robust estimation in observational studies with partial interference
Liu, L., M. G. Hudgens, B. Saul, J. D. Clemens, M. Ali, and M. E. Emch (2019) · 2019
Closest in time.
Modelling and estimation for optimal treatment decision with interference
Su, L., W. Lu, and R. Song (2019) · 2019
Closest in time.
High-dimensional statistics: A non-asymptotic viewpoint
Wainwright, M. J. (2019) · 2019
Closest in time.
Sampling-based versus design-based uncertainty in regression analysis
Abadie, A., S. Athey, G. W. Imbens, and J. M. Wooldridge (2020) · 2020
Closest in time.
Using aggregated relational data to feasibly identify network structure without network data
Breza, E., A. G. Chandrasekhar, T. H. McCormick, and M. Pan (2020) · 2020
Closest in time.
Targeting interventions in networks
Galeotti, A., B. Golub, and S. Goyal (2020) · 2020
Closest in time.
The Econometric Analysis of Network Data
Graham, B. and A. De Paula (2020) · 2020
Closest in time.
Econometric analysis of models with social interactions
Kline, B. and E. Tamer (2020) · 2020
Closest in time.
Treatment and spillover effects under network interference
Leung, M. P. (2020) · 2020
Closest in time.
Optimal treatment assignment rules on networked populations
Ananth, A. (2021) · 2021
Closest in time.
Policy learning with observational data
Athey, S. and S. Wager (2021) · 2021
Closest in time.
Network cluster-robust inference
Leung, M. P. (2021) · 2021
Closest in time.
Average treatment effects in the presence of unknown interference
Sävje, F., P. Aronow, and M. Hudgens (2021) · 2021
Closest in time.
Experimenting in equilibrium
Wager, S. and K. Xu (2021) · 2021
Closest in time.
Causal inference under approximate neighborhood interference
Leung, M. P. (2022) · 2022
Closest in time.
Causal inference with misspecified exposure mappings: separating definitions and assumptions
Sävje, F. (2023) · 2023
Closest in time.