Adaptive Experimental Design Using the Propensity Score
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- Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean, 2011. "Adaptive Experimental Design Using the Propensity Score," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 96-108.
- Jinyong Hahn & Keisuke Hirano & Dean Karlan, 2011. "Adaptive Experimental Design Using the Propensity Score," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 96-108, January.
- Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean, 2008. "Adaptive Experimental Design Using the Propensity Score," MPRA Paper 8315, University Library of Munich, Germany.
- Jinyong Hahn & Keisuke Hirano & Dean Karlan, 2009. "Adaptive Experimental Design Using the Propensity Score," Working Papers 969, Economic Growth Center, Yale University.
- Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean S., 2009. "Adaptive Experimental Design Using the Propensity Score," Center Discussion Papers 47107, Yale University, Economic Growth Center.
References listed on IDEAS
- Alfonso Flores‐Lagunes & Arturo Gonzalez & Todd Neumann, 2010. "Learning But Not Earning? The Impact Of Job Corps Training On Hispanic Youth," Economic Inquiry, Western Economic Association International, vol. 48(3), pages 651-667, July.
- Duncan I. Simester & Peng Sun & John N. Tsitsiklis, 2006. "Dynamic Catalog Mailing Policies," Management Science, INFORMS, vol. 52(5), pages 683-696, May.
- Chamberlain, Gary, 1986. "Asymptotic efficiency in semi-parametric models with censoring," Journal of Econometrics, Elsevier, vol. 32(2), pages 189-218, July.
- Dean Karlan & John A. List, 2007.
"Does Price Matter in Charitable Giving? Evidence from a Large-Scale Natural Field Experiment,"
American Economic Review, American Economic Association, vol. 97(5), pages 1774-1793, December.
- Karlan, Dean & List, John, 2006. "Does Price Matter in Charitable Giving? Evidence from a Large-Scale Natural Field Experiment," Working Papers 13, Yale University, Department of Economics.
- Dean Karlan & John List, 2006. "Does price matter in charitable giving? Evidence from a large-scale natural field experiment," Natural Field Experiments 00279, The Field Experiments Website.
- Dean Karlan & John A. List, 2006. "Does Price Matter in Charitable Giving? Evidence From a Large-Scale Natural Field Experiment," NBER Working Papers 12338, National Bureau of Economic Research, Inc.
- Dean Karlan & John A. List, 2006. "Does Price Matter in Charitable Giving? Evidence from a Large-Scale Natural Field Experiment," Working Papers 1, The Field Experiments Website.
- Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003.
"Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score,"
Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
- Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," NBER Technical Working Papers 0251, National Bureau of Economic Research, Inc.
- Guido Imbens, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometric Society World Congress 2000 Contributed Papers 1166, Econometric Society.
- Dean S. Karlan & Jonathan Zinman, 2008.
"Credit Elasticities in Less-Developed Economies: Implications for Microfinance,"
American Economic Review, American Economic Association, vol. 98(3), pages 1040-1068, June.
- Karlan, Dean S. & Zinman, Jonathan, 2007. "Credit Elasticities in Less-Developed Economies: Implications for Microfinance," CEPR Discussion Papers 6071, C.E.P.R. Discussion Papers.
- Paul J. Gertler & Sebastian W. Martinez & Marta Rubio-Codina, 2012.
"Investing Cash Transfers to Raise Long-Term Living Standards,"
American Economic Journal: Applied Economics, American Economic Association, vol. 4(1), pages 164-192, January.
- Gertler, Paul & Martinez, Sebastian & Rubio-Codina, Marta, 2006. "Investing cash transfers to raise long term living standards," Policy Research Working Paper Series 3994, The World Bank.
- Imbens, Guido W & Angrist, Joshua D, 1994.
"Identification and Estimation of Local Average Treatment Effects,"
Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
- Joshua D. Angrist & Guido W. Imbens, 1995. "Identification and Estimation of Local Average Treatment Effects," NBER Technical Working Papers 0118, National Bureau of Economic Research, Inc.
- Jinyong Hahn, 1998. "On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects," Econometrica, Econometric Society, vol. 66(2), pages 315-332, March.
- Flores-Lagunes, Alfonso & Gonzalez, Arturo & Neumann, Todd C., 2005. "Learning but Not Earning? The Value of Job Corps Training for Hispanic Youths," IZA Discussion Papers 1638, Institute of Labor Economics (IZA).
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- Carneiro, Pedro & Lee, Sokbae & Wilhelm, Daniel, 2016.
"Optimal Data Collection for Randomized Control Trials,"
IZA Discussion Papers
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- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2019. "Optimal Data Collection for Randomized Control Trials," CeMMAP working papers CWP21/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers CWP15/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2016. "Optimal Data Collection for Randomized Control Trials," Papers 1603.03675, arXiv.org, revised Aug 2016.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers CWP45/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2016. "Optimal data collection for randomized control trials," CeMMAP working papers CWP15/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927RR, Cowles Foundation for Research in Economics, Yale University, revised Apr 2015.
- Masahiro Kato & Takuya Ishihara & Junya Honda & Yusuke Narita, 2020. "Adaptive Experimental Design for Efficient Treatment Effect Estimation," Papers 2002.05308, arXiv.org, revised Sep 2020.
- John List & Sally Sadoff & Mathis Wagner, 2011.
"So you want to run an experiment, now what? Some simple rules of thumb for optimal experimental design,"
Experimental Economics, Springer;Economic Science Association, vol. 14(4), pages 439-457, November.
- John A. List & Sally Sadoff & Mathis Wagner, 2009. "So you want to run an experiment, now what? Some Simple Rules of Thumb for Optimal Experimental Design," Carlo Alberto Notebooks 125, Collegio Carlo Alberto.
- John List & Sally Sadoff & Mathis Wagner, 2010. "So you want to run an experiment, now what? Some simple rules of thumb for optimal experimental design," Artefactual Field Experiments 00094, The Field Experiments Website.
- John A. List & Sally Sadoff & Mathis Wagner, 2010. "So you want to run an experiment, now what? Some Simple Rules of Thumb for Optimal Experimental Design," NBER Working Papers 15701, National Bureau of Economic Research, Inc.
- John A. List & Sally Sadoff & Mathis Wagner, 2010. "So you want to run an experiment, now what? Some Simple Rules of Thumb for Optimal Experimental Design," CeRP Working Papers 94, Center for Research on Pensions and Welfare Policies, Turin (Italy).
- Alan Andre Borges da Costa & Sergio Pinheiro Firpo, 2018. "An analysis of the distributive effects of public policies and their spillovers," Working Papers, Department of Economics 2018_06, University of São Paulo (FEA-USP).
- Bhattacharya, Debopam & Dupas, Pascaline, 2012.
"Inferring welfare maximizing treatment assignment under budget constraints,"
Journal of Econometrics, Elsevier, vol. 167(1), pages 168-196.
- Debopam Bhattacharya & Pascaline Dupas, 2008. "Inferring Welfare Maximizing Treatment Assignment under Budget Constraints," NBER Working Papers 14447, National Bureau of Economic Research, Inc.
- Aufenanger, Tobias, 2017. "Machine learning to improve experimental design," FAU Discussion Papers in Economics 16/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
- Castillo-Manzano, José I. & López-Valpuesta, Lourdes & Sánchez-Braza, Antonio, 2018. "When the mall is in the airport: Measuring the effect of the airport mall on passengers’ consumer behavior," Journal of Air Transport Management, Elsevier, vol. 72(C), pages 32-38.
- Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2014.
- Sarah Baird & Aislinn Bohren & Craig McIntosh & Berk Ozler, 2017. "Optimal Design of Experiments in the Presence of Interference*, Second Version," PIER Working Paper Archive 16-025, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 30 Nov 2017.
- Masahiro Kato, 2020. "Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales," Papers 2006.06982, arXiv.org.
- Karlan, Dean & Wood, Daniel H., 2017.
"The effect of effectiveness: Donor response to aid effectiveness in a direct mail fundraising experiment,"
Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 66(C), pages 1-8.
- Dean Karlan & Daniel H. Wood, 2014. "The Effect of Effectiveness: Donor Response to Aid Effectiveness in a Direct Mail Fundraising Experiment," NBER Working Papers 20047, National Bureau of Economic Research, Inc.
- Karlan, Dean & Wood, Daniel, 2015. "The Effect of Effectiveness: Donor Response to Aid Effectiveness in a Direct Mail Fundraising Experiment," Working Papers 130, Yale University, Department of Economics.
- Karlan, Dean S. & Wood, Daniel H., 2014. "The effect of effectiveness: Donor response to aid effectiveness in a direct mail fundraising experiment," CEPR Discussion Papers 9941, C.E.P.R. Discussion Papers.
- Karlan, Dean S. & Wood, Daniel, 2014. "The effect of effectiveness: Donor response to aid effectiveness in a direct mail fundraising experiment," Center Discussion Papers 166682, Yale University, Economic Growth Center.
- Dean Karlan & Daniel Wood, 2014. "The Effect of Effectiveness: Donor Response to Aid Effectiveness in a Direct Mail Fundraising Experiment," Working Papers 1038, Economic Growth Center, Yale University.
- Max Tabord-Meehan, 2018. "Stratification Trees for Adaptive Randomization in Randomized Controlled Trials," Papers 1806.05127, arXiv.org, revised Jun 2020.
- Yichong Zhang & Xin Zheng, 2020. "Quantile treatment effects and bootstrap inference under covariate‐adaptive randomization," Quantitative Economics, Econometric Society, vol. 11(3), pages 957-982, July.
- Liang Jiang & Xiaobin Liu & Peter C. B. Phillips & Yichong Zhang, 2020.
"Bootstrap Inference for Quantile Treatment Effects in Randomized Experiments with Matched Pairs,"
Papers
2005.11967, arXiv.org, revised Aug 2020.
- Liang Jiang & Xiaobin Liu & Peter C.B. Phillips & Yichong Zhang, 2020. "Bootstrap Inference for Quantile Treatment Effects in Randomized Experiments with Matched Pairs," Cowles Foundation Discussion Papers 2249, Cowles Foundation for Research in Economics, Yale University.
- Masahiro Kato & Yusuke Kaneko, 2020. "Off-Policy Evaluation of Bandit Algorithm from Dependent Samples under Batch Update Policy," Papers 2010.13554, arXiv.org.
- G�nther Fink & Margaret McConnell & Sebastian Vollmer, 2014.
"Testing for heterogeneous treatment effects in experimental data: false discovery risks and correction procedures,"
Journal of Development Effectiveness, Taylor & Francis Journals, vol. 6(1), pages 44-57, January.
- Fink, Günther & McConnell, Margaret & Vollmer, Sebastian, 2011. "Testing for Heterogeneous Treatment Effects in Experimental Data: False Discovery Risks and Correction Procedures," Hannover Economic Papers (HEP) dp-477, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927, Cowles Foundation for Research in Economics, Yale University.
- Kyungchul Song, 2009. "Efficient Estimation of Average Treatment Effects under Treatment-Based Sampling," PIER Working Paper Archive 09-011, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Víctor Casero-Alonso & Jesús López-Fidalgo, 2015. "Experimental designs in triangular simultaneous equations models," Statistical Papers, Springer, vol. 56(2), pages 273-290, May.
- Aufenanger, Tobias, 2018. "Treatment allocation for linear models," FAU Discussion Papers in Economics 14/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
- Masahiro Kato & Kenshi Abe & Kaito Ariu & Shota Yasui, 2020. "A Practical Guide of Off-Policy Evaluation for Bandit Problems," Papers 2010.12470, arXiv.org.
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More about this item
JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CBE-2009-12-11 (Cognitive & Behavioural Economics)
- NEP-ECM-2009-12-11 (Econometrics)
- NEP-EXP-2009-12-11 (Experimental Economics)
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