Insights on Variance Estimation for Blocked and Matched Pairs Designs
Author
Abstract
Suggested Citation
DOI: 10.3102/1076998620946272
Download full text from publisher
References listed on IDEAS
- Qingyuan Zhao & Dylan S. Small & Paul R. Rosenbaum, 2018. "Cross-Screening in Observational Studies That Test Many Hypotheses," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1070-1084, July.
- Alberto Abadie & Guido W. Imbens, 2008. "Estimation of the Conditional Variance in Paired Experiments," Annals of Economics and Statistics, GENES, issue 91-92, pages 175-187.
- Miratrix, Luke W. & Sekhon, Jasjeet S. & Theodoridis, Alexander G. & Campos, Luis F., 2018. "Worth Weighting? How to Think About and Use Weights in Survey Experiments," Political Analysis, Cambridge University Press, vol. 26(3), pages 275-291, July.
- 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.
- Ben B. Hansen, 2004. "Full Matching in an Observational Study of Coaching for the SAT," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 609-618, January.
- LaLonde, Robert J, 1986.
"Evaluating the Econometric Evaluations of Training Programs with Experimental Data,"
American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
- Robert J. LaLonde, 1984. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," Working Papers 563, Princeton University, Department of Economics, Industrial Relations Section..
- 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.
- repec:adr:anecst:y:2008:i:91-92:p:09 is not listed on IDEAS
- Colin B. Fogarty, 2018. "On mitigating the analytical limitations of finely stratified experiments," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(5), pages 1035-1056, November.
- Kosuke Imai & Gary King & Elizabeth A. Stuart, 2008. "Misunderstandings between experimentalists and observationalists about causal inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(2), pages 481-502, April.
- Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2012. "Causal Inference without Balance Checking: Coarsened Exact Matching," Political Analysis, Cambridge University Press, vol. 20(1), pages 1-24, January.
- Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, January.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Nicole E. Pashley & Luke W. Miratrix, 2022. "Block What You Can, Except When You Shouldn’t," Journal of Educational and Behavioral Statistics, , vol. 47(1), pages 69-100, February.
- Zhao, Anqi & Ding, Peng, 2024. "No star is good news: A unified look at rerandomization based on p-values from covariate balance tests," Journal of Econometrics, Elsevier, vol. 241(1).
- Haoge Chang, 2023. "Design-based Estimation Theory for Complex Experiments," Papers 2311.06891, arXiv.org.
- Yuehao Bai & Azeem M. Shaikh & Max Tabord-Meehan, 2024. "A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances," Papers 2405.03910, arXiv.org.
- Colin B. Fogarty, 2023. "Testing weak nulls in matched observational studies," Biometrics, The International Biometric Society, vol. 79(3), pages 2196-2207, September.
- Dmitry Arkhangelsky & Guido W. Imbens & Lihua Lei & Xiaoman Luo, 2021. "Design-Robust Two-Way-Fixed-Effects Regression For Panel Data," Papers 2107.13737, arXiv.org, revised Mar 2024.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Nicole E. Pashley & Luke W. Miratrix, 2022. "Block What You Can, Except When You Shouldn’t," Journal of Educational and Behavioral Statistics, , vol. 47(1), pages 69-100, February.
- Denis Fougère & Nicolas Jacquemet, 2020.
"Policy Evaluation Using Causal Inference Methods,"
Working Papers
hal-03455978, HAL.
- Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03455978, HAL.
- Denis Fougère & Nicolas Jacquemet, 2021. "Policy Evaluation Using Causal Inference Methods," SciencePo Working papers Main hal-03098058, HAL.
- Fougère, Denis & Jacquemet, Nicolas, 2020. "Policy Evaluation Using Causal Inference Methods," IZA Discussion Papers 12922, Institute of Labor Economics (IZA).
- Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," SciencePo Working papers Main hal-03455978, HAL.
- Denis Fougère & Nicolas Jacquemet, 2021. "Policy Evaluation Using Causal Inference Methods," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03098058, HAL.
- Denis Fougère & Nicolas Jacquemet, 2021. "Policy Evaluation Using Causal Inference Methods," PSE-Ecole d'économie de Paris (Postprint) hal-03098058, HAL.
- Denis Fougère & Nicolas Jacquemet, 2021. "Policy Evaluation Using Causal Inference Methods," Post-Print hal-03098058, HAL.
- Gary King & Christopher Lucas & Richard A. Nielsen, 2017. "The Balance‐Sample Size Frontier in Matching Methods for Causal Inference," American Journal of Political Science, John Wiley & Sons, vol. 61(2), pages 473-489, April.
- Jason J. Sauppe & Sheldon H. Jacobson, 2017. "The role of covariate balance in observational studies," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(4), pages 323-344, June.
- Adeola Oyenubi & Martin Wittenberg, 2021.
"Does the choice of balance-measure matter under genetic matching?,"
Empirical Economics, Springer, vol. 61(1), pages 489-502, July.
- Adeola Oyenubi & Martin Wittenberg, 2020. "Does the choice of balance-measure matter under Genetic Matching?," Working Papers 819, Economic Research Southern Africa.
- Richard Aviles-Lopez & Juan de Dios Luna del Castillo & Miguel Ángel Montero-Alonso, 2023. "Exploratory Matching Model Search Algorithm (EMMSA) for Causal Analysis: Application to the Cardboard Industry," Mathematics, MDPI, vol. 11(21), pages 1-34, October.
- Marco Morucci & Md. Noor-E-Alam & Cynthia Rudin, 2022. "A Robust Approach to Quantifying Uncertainty in Matching Problems of Causal Inference," INFORMS Joural on Data Science, INFORMS, vol. 1(2), pages 156-171, October.
- Jason J. Sauppe & Sheldon H. Jacobson & Edward C. Sewell, 2014. "Complexity and Approximation Results for the Balance Optimization Subset Selection Model for Causal Inference in Observational Studies," INFORMS Journal on Computing, INFORMS, vol. 26(3), pages 547-566, August.
- Haoge Chang, 2023. "Design-based Estimation Theory for Complex Experiments," Papers 2311.06891, arXiv.org.
- Yuehao Bai, 2022. "Optimality of Matched-Pair Designs in Randomized Controlled Trials," Papers 2206.07845, arXiv.org.
- Fangzhou Su & Peng Ding, 2021. "Model‐assisted analyses of cluster‐randomized experiments," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(5), pages 994-1015, November.
- Zach Branson & Tirthankar Dasgupta, 2020. "Sampling‐based Randomised Designs for Causal Inference under the Potential Outcomes Framework," International Statistical Review, International Statistical Institute, vol. 88(1), pages 101-121, April.
- Naoki Egami & Erin Hartman, 2021. "Covariate selection for generalizing experimental results: Application to a large‐scale development program in Uganda," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(4), pages 1524-1548, October.
- 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.
- Sergio Afcha & Jose García-Quevedo, 2016.
"The impact of R&D subsidies on R&D employment composition,"
Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(6), pages 955-975.
- Sergio Afcha & Jose García-Quevedo, 2014. "The impact of R&D subsidies on R&D employment composition," Working Papers 2014/22, Institut d'Economia de Barcelona (IEB).
- Jeon, Sung-Hee & Pohl, R. Vincent, 2019.
"Medical innovation, education, and labor market outcomes of cancer patients,"
Journal of Health Economics, Elsevier, vol. 68(C).
- Sung-Hee Jeon & Vincent Pohl, 2019. "Medical Innovation, Education, and Labor Market Outcomes of Cancer Patients," Upjohn Working Papers 19-306, W.E. Upjohn Institute for Employment Research.
- Sloczynski, Tymon, 2018.
"A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands,"
IZA Discussion Papers
11866, Institute of Labor Economics (IZA).
- Tymon Sloczynski, 2018. "A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands," Working Papers 125, Brandeis University, Department of Economics and International Business School.
- Zhang, Yufei & Voorhees, Clay M. & Lin, Chen & Chiang, Jeongwen & Hult, G.Tomas M. & Calantone, Roger J., 2022. "Information Search and Product Returns Across Mobile and Traditional Online Channels," Journal of Retailing, Elsevier, vol. 98(2), pages 260-276.
- Guido W. Imbens, 2022. "Causality in Econometrics: Choice vs Chance," Econometrica, Econometric Society, vol. 90(6), pages 2541-2566, November.
- Jeffrey Smith & Arthur Sweetman, 2016.
"Viewpoint: Estimating the causal effects of policies and programs,"
Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 871-905, August.
- Jeffrey Smith & Arthur Sweetman, 2016. "Viewpoint: Estimating the causal effects of policies and programs," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(3), pages 871-905, August.
- Smith, Jeffrey A. & Sweetman, Arthur, 2016. "Viewpoint: Estimating the Causal Effects of Policies and Programs," IZA Discussion Papers 10108, Institute of Labor Economics (IZA).
More about this item
Keywords
causal inference; potential outcomes; precision; finite sample inference; randomization inference; Neymanian inference;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:jedbes:v:46:y:2021:i:3:p:271-296. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.