Design-based Estimation Theory for Complex Experiments
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- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2018.
"Inference Under Covariate-Adaptive Randomization,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(524), pages 1784-1796, October.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2015. "Inference under covariate-adaptive randomization," CeMMAP working papers 45/15, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2017. "Inference under covariate-adaptive randomization," CeMMAP working papers CWP25/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2016. "Inference under Covariate-Adaptive Randomization," CeMMAP working papers CWP21/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2016. "Inference under Covariate-Adaptive Randomization," CeMMAP working papers 21/16, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2017. "Inference under covariate-adaptive randomization," CeMMAP working papers 25/17, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2015. "Inference under covariate-adaptive randomization," CeMMAP working papers CWP45/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Clément de Chaisemartin & Jaime Ramirez-Cuellar, 2024.
"At What Level Should One Cluster Standard Errors in Paired and Small-Strata Experiments?,"
American Economic Journal: Applied Economics, American Economic Association, vol. 16(1), pages 193-212, January.
- Cl'ement de Chaisemartin & Jaime Ramirez-Cuellar, 2019. "At What Level Should One Cluster Standard Errors in Paired and Small-Strata Experiments?," Papers 1906.00288, arXiv.org, revised Jun 2023.
- Clément de Chaisemartin & Jaime Ramirez-Cuellar, 2022. "At What Level Should One Cluster Standard Errors in Paired and Small-Strata Experiments?," SciencePo Working papers Main hal-03873897, HAL.
- Clément de Chaisemartin & Jaime Ramirez-Cuellar, 2020. "At What Level Should One Cluster Standard Errors in Paired and Small-Strata Experiments?," NBER Working Papers 27609, National Bureau of Economic Research, Inc.
- Clément de Chaisemartin & Jaime Ramirez-Cuellar, 2022. "At What Level Should One Cluster Standard Errors in Paired and Small-Strata Experiments?," Working Papers hal-03873897, HAL.
- Xinran Li & Peng Ding, 2017. "General Forms of Finite Population Central Limit Theorems with Applications to Causal Inference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(520), pages 1759-1769, October.
- Bruce Sacerdote, 2014. "Experimental and Quasi-Experimental Analysis of Peer Effects: Two Steps Forward?," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 253-272, August.
- Charles F. Manski, 2013.
"Identification of treatment response with social interactions,"
Econometrics Journal, Royal Economic Society, vol. 16(1), pages 1-23, February.
- Charles F. Manski, 2010. "Identification of treatment response with social interactions," CeMMAP working papers CWP01/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Joel A. Middleton, 2021. "Unifying Design-based Inference: On Bounding and Estimating the Variance of any Linear Estimator in any Experimental Design," Papers 2109.09220, arXiv.org.
- Jing Cai & Alain De Janvry & Elisabeth Sadoulet, 2015.
"Social Networks and the Decision to Insure,"
American Economic Journal: Applied Economics, American Economic Association, vol. 7(2), pages 81-108, April.
- Cai, Jing & de Janvry, Alain & Sadoulet, Elisabeth, 2013. "Social Networks and the Decision to Insure," MPRA Paper 46861, University Library of Munich, Germany.
- Mengsi Gao & Peng Ding, 2023. "Causal inference in network experiments: regression-based analysis and design-based properties," Papers 2309.07476, arXiv.org, revised Nov 2023.
- Hudgens, Michael G. & Halloran, M. Elizabeth, 2008. "Toward Causal Inference With Interference," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 832-842, June.
- Heejung Bang & James M. Robins, 2005. "Doubly Robust Estimation in Missing Data and Causal Inference Models," Biometrics, The International Biometric Society, vol. 61(4), pages 962-973, December.
- Yuchen Hu & Shuangning Li & Stefan Wager, 2021. "Average Direct and Indirect Causal Effects under Interference," Papers 2104.03802, arXiv.org, revised Jan 2022.
- Lihua Lei & Peng Ding, 2021. "Regression adjustment in completely randomized experiments with a diverging number of covariates [Covariance adjustments for the analysis of randomized field experiments]," Biometrika, Biometrika Trust, vol. 108(4), pages 815-828.
- Jing Cai & Adam Szeidl, 2018.
"Interfirm Relationships and Business Performance,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1229-1282.
- Szeidl, Adam & Cai, Jing, 2016. "Interfirm Relationships and Business Performance," CEPR Discussion Papers 11717, C.E.P.R. Discussion Papers.
- Jing Cai & Adam Szeidl, 2016. "Interfirm Relationships and Business Performance," NBER Working Papers 22951, National Bureau of Economic Research, Inc.
- Jing Cai & Adam Szeidl, 2017. "Interfirm Relationships and Business Performance_," CEU Working Papers 2018_3, Department of Economics, Central European University.
- Jing Cai & Adam Szeidl, 2016. "Interfirm Relationships and Business Performance," Natural Field Experiments 00562, The Field Experiments Website.
- Ruonan Xu, 2021. "Potential outcomes and finite-population inference for M-estimators," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 162-176.
- Yuchen Hu & Shuangning Li & Stefan Wager, 2022. "Average direct and indirect causal effects under interference [Estimating average causal effects under general interference, with application to a social network experiment]," Biometrika, Biometrika Trust, vol. 109(4), pages 1165-1172.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2019.
"Inference under covariate‐adaptive randomization with multiple treatments,"
Quantitative Economics, Econometric Society, vol. 10(4), pages 1747-1785, November.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2017. "Inference under covariate-adaptive randomization with multiple treatments," CeMMAP working papers CWP34/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2018. "Inference under Covariate-Adaptive Randomization with Multiple Treatments," Papers 1806.04206, arXiv.org, revised Jan 2019.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2017. "Inference under covariate-adaptive randomization with multiple treatments," CeMMAP working papers 34/17, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2019. "Inference under covariate-adaptive randomization with multiple treatments," CeMMAP working papers CWP04/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Edward Miguel & Michael Kremer, 2004. "Worms: Identifying Impacts on Education and Health in the Presence of Treatment Externalities," Econometrica, Econometric Society, vol. 72(1), pages 159-217, January.
- Akanksha Negi & Jeffrey M. Wooldridge, 2021. "Revisiting regression adjustment in experiments with heterogeneous treatment effects," Econometric Reviews, Taylor & Francis Journals, vol. 40(5), pages 504-534, April.
- Jason Wu & Peng Ding, 2021. "Randomization Tests for Weak Null Hypotheses in Randomized Experiments," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1898-1913, October.
- Luke W. Miratrix & Jasjeet S. Sekhon & Bin Yu, 2013. "Adjusting treatment effect estimates by post-stratification in randomized experiments," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(2), pages 369-396, March.
- Dennis Egger & Johannes Haushofer & Edward Miguel & Paul Niehaus & Michael Walker, 2022.
"General Equilibrium Effects of Cash Transfers: Experimental Evidence From Kenya,"
Econometrica, Econometric Society, vol. 90(6), pages 2603-2643, November.
- Dennis Egger & Johannes Haushofer & Edward Miguel & Paul Niehaus & Michael W. Walker, 2019. "General Equilibrium Effects of Cash Transfers: Experimental Evidence from Kenya," NBER Working Papers 26600, National Bureau of Economic Research, Inc.
- Egger, Dennis & Haushofer, Johannes & Miguel, Edward & Niehaus, Paul & Walker, Michael, 2020. "General equilibrium effects of cash transfers: experimental evidence from Kenya," Department of Economics, Working Paper Series qt7b84w7hh, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Lorenzo Fattorini, 2006. "Applying the Horvitz-Thompson criterion in complex designs: A computer-intensive perspective for estimating inclusion probabilities," Biometrika, Biometrika Trust, vol. 93(2), pages 269-278, June.
- Athey, Susan & Imbens, Guido W., 2022.
"Design-based analysis in Difference-In-Differences settings with staggered adoption,"
Journal of Econometrics, Elsevier, vol. 226(1), pages 62-79.
- Susan Athey & Guido Imbens, 2018. "Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption," Papers 1808.05293, arXiv.org, revised Sep 2018.
- Susan Athey & Guido W. Imbens, 2018. "Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption," NBER Working Papers 24963, National Bureau of Economic Research, Inc.
- Athey, Susan & Imbens, Guido W., 2018. "Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption," Research Papers 3712, Stanford University, Graduate School of Business.
- Michael P. Leung, 2022.
"Causal Inference Under Approximate Neighborhood Interference,"
Econometrica, Econometric Society, vol. 90(1), pages 267-293, January.
- Michael P. Leung, 2019. "Causal Inference Under Approximate Neighborhood Interference," Papers 1911.07085, arXiv.org, revised Nov 2021.
- Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2020. "Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis," Econometrica, Econometric Society, vol. 88(1), pages 265-296, January.
- Rahul Mukerjee & Tirthankar Dasgupta & Donald B. Rubin, 2018. "Using Standard Tools From Finite Population Sampling to Improve Causal Inference for Complex Experiments," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 868-881, April.
- Ruonan Xu & Jeffrey M. Wooldridge, 2022. "A Design-Based Approach to Spatial Correlation," Papers 2211.14354, arXiv.org.
- Rothenberg, Thomas J, 1971. "Identification in Parametric Models," Econometrica, Econometric Society, vol. 39(3), pages 577-591, May.
- Colin B Fogarty, 2018. "Regression-assisted inference for the average treatment effect in paired experiments," Biometrika, Biometrika Trust, vol. 105(4), pages 994-1000.
- Nicole E. Pashley & Luke W. Miratrix, 2021. "Insights on Variance Estimation for Blocked and Matched Pairs Designs," Journal of Educational and Behavioral Statistics, , vol. 46(3), pages 271-296, June.
- Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, October.
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This paper has been announced in the following NEP Reports:- NEP-DES-2023-12-18 (Economic Design)
- NEP-ECM-2023-12-18 (Econometrics)
- NEP-EXP-2023-12-18 (Experimental Economics)
- NEP-NET-2023-12-18 (Network Economics)
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