Keisuke Hirano
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
- Keisuke Hirano & Jack R. Porter, 2023.
"Asymptotic Representations for Sequential Decisions, Adaptive Experiments, and Batched Bandits,"
Papers
2302.03117, arXiv.org.
Cited by:
- Masahiro Kato, 2023. "Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget," Papers 2310.19788, arXiv.org, revised Mar 2024.
- 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.
- Karun Adusumilli, 2023. "Optimal tests following sequential experiments," Papers 2305.00403, arXiv.org, revised Jun 2023.
- Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean S., 2009.
"Adaptive Experimental Design Using the Propensity Score,"
Center Discussion Papers
47107, Yale University, Economic Growth Center.
- 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.
- 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, 2009. "Adaptive Experimental Design Using the Propensity Score," Working Papers 59, Yale University, Department of Economics.
- Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean, 2008. "Adaptive Experimental Design Using the Propensity Score," MPRA Paper 8315, University Library of Munich, Germany.
Cited by:
- Carneiro, Pedro & Lee, Sokbae & Wilhelm, Daniel, 2016.
"Optimal Data Collection for Randomized Control Trials,"
IZA Discussion Papers
9908, Institute of Labor Economics (IZA).
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers 45/17, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2016. "Optimal data collection for randomized control trials," CeMMAP working papers 15/16, Institute for Fiscal Studies.
- 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 15/17, 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.
- Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2020. "Optimal data collection for randomized control trials," The Econometrics Journal, Royal Economic Society, vol. 23(1), pages 1-31.
- 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).
- Debopam Bhattacharya & Pascaline Dupas, 2008.
"Inferring Welfare Maximizing Treatment Assignment under Budget Constraints,"
NBER Working Papers
14447, National Bureau of Economic Research, Inc.
- Bhattacharya, Debopam & Dupas, Pascaline, 2012. "Inferring welfare maximizing treatment assignment under budget constraints," Journal of Econometrics, Elsevier, vol. 167(1), pages 168-196.
- Aufenanger, Tobias, 2017. "Machine learning to improve experimental design," FAU Discussion Papers in Economics 16/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, revised 2017.
- 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.
- Jiang, Liang & Phillips, Peter C.B. & Tao, Yubo & Zhang, Yichong, 2023.
"Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations,"
Journal of Econometrics, Elsevier, vol. 234(2), pages 758-776.
- Liang Jiang & Peter C. B. Phillips & Yubo Tao & Yichong Zhang, 2021. "Regression-Adjusted Estimation of Quantile Treatment Effects under Covariate-Adaptive Randomizations," Papers 2105.14752, arXiv.org, revised Sep 2022.
- Liang Jiang & Xiaobin Liu & Peter C.B. Phillips & Yichong Zhang, 2021. "Regression-Adjusted Estimation of Quantile Treatment Effects under Covariate-Adaptive Randomizations," Cowles Foundation Discussion Papers 2288, Cowles Foundation for Research in Economics, Yale University.
- Max Tabord-Meehan, 2018.
"Stratification Trees for Adaptive Randomization in Randomized Controlled Trials,"
Papers
1806.05127, arXiv.org, revised Jul 2022.
- Max Tabord-Meehan, 2023. "Stratification Trees for Adaptive Randomisation in Randomised Controlled Trials," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2646-2673.
- Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2023. "Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds," Papers 2302.02988, arXiv.org, revised Jul 2023.
- 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.
- Liang Jiang & Xiaobin Liu & Peter C. B. Phillips & Yichong Zhang, 2024. "Bootstrap Inference for Quantile Treatment Effects in Randomized Experiments with Matched Pairs," The Review of Economics and Statistics, MIT Press, vol. 106(2), pages 542-556, March.
- 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 May 2021.
- Ahnaf Rafi, 2023. "Efficient Semiparametric Estimation of Average Treatment Effects Under Covariate Adaptive Randomization," Papers 2305.08340, arXiv.org.
- Yong Cai & Ahnaf Rafi, 2022. "On the Performance of the Neyman Allocation with Small Pilots," Papers 2206.04643, arXiv.org, revised Jun 2024.
- Timothy B. Armstrong & Shu Shen, 2013.
"Inference on Optimal Treatment Assignments,"
Cowles Foundation Discussion Papers
1927, Cowles Foundation for Research in Economics, Yale University.
- 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.
- 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.
- 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.
- 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 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.
- 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.
- 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.
- 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.
- Yusuke Narita, 2018. "Toward an Ethical Experiment," Cowles Foundation Discussion Papers 2127, Cowles Foundation for Research in Economics, Yale University.
- Jinglong Zhao, 2024. "Experimental Design For Causal Inference Through An Optimization Lens," Papers 2408.09607, arXiv.org, revised Aug 2024.
- Masahiro Kato & Kenshi Abe & Kaito Ariu & Shota Yasui, 2020. "A Practical Guide of Off-Policy Evaluation for Bandit Problems," Papers 2010.12470, arXiv.org.
- Ravichandran Arun & Pashley Nicole E. & Libgober Brian & Dasgupta Tirthankar, 2024. "Optimal allocation of sample size for randomization-based inference from 2K factorial designs," Journal of Causal Inference, De Gruyter, vol. 12(1), pages 1-18, January.
- Yusuke Narita, 2018.
"Experiment-as-Market: Incorporating Welfare into Randomized Controlled Trials,"
Cowles Foundation Discussion Papers
2127r, Cowles Foundation for Research in Economics, Yale University, revised May 2019.
- Yusuke Narita, 2019. "Experiment-as-Market: Incorporating Welfare into Randomized Controlled Trials," Working Papers 2019-025, Human Capital and Economic Opportunity Working Group.
- 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 & Oliver B. Linton & Haihan Tang & Yichong Zhang, 2022. "Improving Estimation Efficiency via Regression-Adjustment in Covariate-Adaptive Randomizations with Imperfect Compliance," Papers 2201.13004, arXiv.org, revised Jun 2023.
- 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.
- 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.
- 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).
- 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, 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, 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, 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.
- Masahiro Kato, 2024. "Adaptive Generalized Neyman Allocation: Local Asymptotic Minimax Optimal Best Arm Identification," Papers 2405.19317, arXiv.org.
- Masahiro Kato, 2023. "Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget," Papers 2310.19788, arXiv.org, revised Mar 2024.
- Víctor Casero-Alonso & Jesús López-Fidalgo, 2015. "Experimental designs in triangular simultaneous equations models," Statistical Papers, Springer, vol. 56(2), pages 273-290, May.
- Masahiro Kato, 2023. "Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances," Papers 2312.12741, arXiv.org, revised Mar 2024.
- Aufenanger, Tobias, 2018. "Treatment allocation for linear models," FAU Discussion Papers in Economics 14/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, revised 2018.
- Masahiro Kato & Takuya Ishihara & Junya Honda & Yusuke Narita, 2020. "Efficient Adaptive Experimental Design for Average Treatment Effect Estimation," Papers 2002.05308, arXiv.org, revised Oct 2021.
- Masahiro Kato & Kaito Ariu, 2021. "The Role of Contextual Information in Best Arm Identification," Papers 2106.14077, arXiv.org, revised Feb 2024.
- Masahiro Kato & Shota Yasui & Kenichiro McAlinn, 2020. "The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy," Papers 2010.03792, arXiv.org, revised Jun 2021.
- Masahiro Kato, 2020. "Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales," Papers 2006.06982, arXiv.org.
- Masahiro Kato, 2021. "Adaptive Doubly Robust Estimator from Non-stationary Logging Policy under a Convergence of Average Probability," Papers 2102.08975, arXiv.org, revised Mar 2021.
- Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2022. "Best Arm Identification with Contextual Information under a Small Gap," Papers 2209.07330, arXiv.org, revised Jan 2023.
- Michael Gechter & Keisuke Hirano & Jean Lee & Mahreen Mahmud & Orville Mondal & Jonathan Morduch & Saravana Ravindran & Abu S. Shonchoy, 2024. "Selecting Experimental Sites for External Validity," Papers 2405.13241, 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.
- Harrison H. Li & Art B. Owen, 2023. "Double machine learning and design in batch adaptive experiments," Papers 2309.15297, arXiv.org.
- 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 & Akihiro Oga & Wataru Komatsubara & Ryo Inokuchi, 2024. "Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices," Papers 2403.03589, arXiv.org, revised Jun 2024.
- Cai, Yong & Rafi, Ahnaf, 2024. "On the performance of the Neyman Allocation with small pilots," Journal of Econometrics, Elsevier, vol. 242(1).
- Max Cytrynbaum, 2021. "Optimal Stratification of Survey Experiments," Papers 2111.08157, arXiv.org, revised Aug 2023.
- Masahiro Kato & Yusuke Kaneko, 2020. "Off-Policy Evaluation of Bandit Algorithm from Dependent Samples under Batch Update Policy," Papers 2010.13554, arXiv.org.
- Hirano, Keisuke & Porter, Jack, 2009.
"Impossibility Results for Nondifferentiable Functionals,"
MPRA Paper
15990, University Library of Munich, Germany.
- Keisuke Hirano & Jack R. Porter, 2012. "Impossibility Results for Nondifferentiable Functionals," Econometrica, Econometric Society, vol. 80(4), pages 1769-1790, July.
Cited by:
- Hiroaki Kaido, 2014.
"Asymptotically efficient estimation of weighted average derivatives with an interval censored variable,"
CeMMAP working papers
03/14, Institute for Fiscal Studies.
- Hiroaki Kaido, 2013. "Asymptotically Efficient Estimation of Weighted Average Derivatives with an Inverval Censored Variable," Boston University - Department of Economics - Working Papers Series 2013-022, Boston University - Department of Economics.
- Kaido, Hiroaki, 2017. "Asymptotically Efficient Estimation Of Weighted Average Derivatives With An Interval Censored Variable," Econometric Theory, Cambridge University Press, vol. 33(5), pages 1218-1241, October.
- Hiroaki Kaido, 2014. "Asymptotically efficient estimation of weighted average derivatives with an interval censored variable," CeMMAP working papers CWP03/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Lorenzo Almada & Ian McCarthy & Rusty Tchernis, 2016.
"What Can We Learn about the Effects of Food Stamps on Obesity in the Presence of Misreporting?,"
American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(4), pages 997-1017.
- Lorenzo Almada & Ian M. McCarthy & Rusty Tchernis, 2015. "What Can We Learn About the Effects of Food Stamps on Obesity in the Presence of Misreporting?," NBER Working Papers 21596, National Bureau of Economic Research, Inc.
- Isaiah Andrews & Timothy B. Armstrong, 2015.
"Unbiased Instrumental Variables Estimation under Known First-Stage Sign,"
Cowles Foundation Discussion Papers
1984R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2015.
- Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R2, Cowles Foundation for Research in Economics, Yale University, revised Sep 2015.
- Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984, Cowles Foundation for Research in Economics, Yale University.
- Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R3, Cowles Foundation for Research in Economics, Yale University, revised Oct 2015.
- Isaiah Andrews & Timothy B. Armstrong, 2017. "Unbiased instrumental variables estimation under known first‐stage sign," Quantitative Economics, Econometric Society, vol. 8(2), pages 479-503, July.
- Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R4, Cowles Foundation for Research in Economics, Yale University, revised Apr 2016.
- Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R5, Cowles Foundation for Research in Economics, Yale University, revised Nov 2016.
- Lafférs, Lukáš & Mellace, Giovanni, 2020. "Identification of the average treatment effect when SUTVA is violated," Discussion Papers on Economics 3/2020, University of Southern Denmark, Department of Economics.
- Jiannan Lu & Peng Ding & Tirthankar Dasgupta, 2018. "Treatment Effects on Ordinal Outcomes: Causal Estimands and Sharp Bounds," Journal of Educational and Behavioral Statistics, , vol. 43(5), pages 540-567, October.
- Germinario, Giuseppe & Amin, Vikesh & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2022. "What can we learn about the effect of mental health on labor market outcomes under weak assumptions? Evidence from the NLSY79," Labour Economics, Elsevier, vol. 79(C).
- Amin, Vikesh & Behrman, Jere R. & Fletcher, Jason M. & Flores, Carlos A. & Flores-Lagunes, Alfonso & Kohler, Hans-Peter, 2022.
"Does Schooling Improve Cognitive Abilities at Older Ages? Causal Evidence from Nonparametric Bounds,"
GLO Discussion Paper Series
1114, Global Labor Organization (GLO).
- Vikesh Amin & Jere R. Behrman & Jason M. Fletcher & Carlos A. Flores & Alfonso Flores-Lagunes & Hans-Peter Kohler, 2022. "Does Schooling Improve Cognitive Abilities at Older Ages: Causal Evidence from Nonparametric Bounds," PIER Working Paper Archive 22-016, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Amin, Vikesh & Behrman, Jere R. & Fletcher, Jason M. & Flores, Carlos A. & Flores-Lagunes, Alfonso & Kohler, Hans-Peter, 2022. "Does Schooling Improve Cognitive Abilities at Older Ages: Causal Evidence from Nonparametric Bounds," IZA Discussion Papers 15371, Institute of Labor Economics (IZA).
- Sjölander Arvid, 2020. "A note on a sensitivity analysis for unmeasured confounding, and the related E-value," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 229-248, January.
- Gyungbae Park, 2024. "Debiased Machine Learning when Nuisance Parameters Appear in Indicator Functions," Papers 2403.15934, arXiv.org.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017.
"Confidence intervals for projections of partially identified parameters,"
CeMMAP working papers
49/17, Institute for Fiscal Studies.
- Stoye, Joerg & Kaido, Hiroaki & Molinari, Francesca, 2016. "Confidence Intervals for Projections of Partially Identified Parameters," VfS Annual Conference 2016 (Augsburg): Demographic Change 145485, Verein für Socialpolitik / German Economic Association.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers CWP02/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers CWP49/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confi dence Intervals for Projections of Partially Identi fied Parameters," Boston University - Department of Economics - Working Papers Series wp2016-001, Boston University - Department of Economics.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2019. "Confi dence Intervals for Projections of Partially Identifi ed Parameters," CeMMAP working papers CWP26/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hiroaki Kaido & Francesca Molinari & Jörg Stoye, 2016. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers 02/16, Institute for Fiscal Studies.
- Hiroaki Kaido & Francesca Molinari & Jörg Stoye, 2019. "Confidence Intervals for Projections of Partially Identified Parameters," Econometrica, Econometric Society, vol. 87(4), pages 1397-1432, July.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confidence Intervals for Projections of Partially Identified Parameters," Papers 1601.00934, arXiv.org, revised Jun 2019.
- Lukáš Lafférs, 2019.
"Bounding average treatment effects using linear programming,"
Empirical Economics, Springer, vol. 57(3), pages 727-767, September.
- Lukáš Lafférs, 2015. "Bounding average treatment effects using linear programming," CeMMAP working papers 70/15, Institute for Fiscal Studies.
- Lukáš Lafférs, 2015. "Bounding average treatment effects using linear programming," CeMMAP working papers CWP70/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018. "Coverage Error Optimal Confidence Intervals for Local Polynomial Regression," Papers 1808.01398, arXiv.org, revised Jul 2021.
- Hongyi Jiang & Zhenting Sun & Shiyun Hu, 2023. "A Nonparametric Test of $m$th-degree Inverse Stochastic Dominance," Papers 2306.12271, arXiv.org, revised Jul 2023.
- Qihui Chen & Zheng Fang, 2019. "Inference on Functionals under First Order Degeneracy," Papers 1901.04861, arXiv.org.
- Ting Ye & Luke Keele & Raiden Hasegawa & Dylan S. Small, 2020. "A Negative Correlation Strategy for Bracketing in Difference-in-Differences," Papers 2006.02423, arXiv.org, revised Jun 2022.
- Gerard, François & Rokkanen, Miikka & Rothe, Christoph, 2016.
"Identification and Inference in Regression Discontinuity Designs with a Manipulated Running Variable,"
CEPR Discussion Papers
11048, C.E.P.R. Discussion Papers.
- Gerard, Francois & Rokkanen, Miikka & Rothe, Christoph, 2015. "Identification and Inference in Regression Discontinuity Designs with a Manipulated Running Variable," IZA Discussion Papers 9604, Institute of Labor Economics (IZA).
- Lee, Y-Y. & Bhattacharya, D., 2018.
"Applied Welfare Analysis for Discrete Choice with Interval-data on Income,"
Cambridge Working Papers in Economics
1882, Faculty of Economics, University of Cambridge.
- Lee, Ying-Ying & Bhattacharya, Debopam, 2019. "Applied welfare analysis for discrete choice with interval-data on income," Journal of Econometrics, Elsevier, vol. 211(2), pages 361-387.
- Victor Chernozhukov & Christian Hansen & Yuan Liao, 2015.
"A lava attack on the recovery of sums of dense and sparse signals,"
CeMMAP working papers
05/15, Institute for Fiscal Studies.
- Victor Chernozhukov & Christian Hansen & Yuan Liao, 2015. "A lava attack on the recovery of sums of dense and sparse signals," Papers 1502.03155, arXiv.org, revised Mar 2015.
- Victor Chernozhukov & Christian Hansen & Yuan Liao, 2015. "A lava attack on the recovery of sums of dense and sparse signals," CeMMAP working papers CWP05/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Christian Hansen & Yuan Liao, 2015. "A lava attack on the recovery of sums of dense and sparse signals," CeMMAP working papers CWP56/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Christian Hansen & Yuan Liao, 2015. "A lava attack on the recovery of sums of dense and sparse signals," CeMMAP working papers 56/15, Institute for Fiscal Studies.
- Juan Carlos Escanciano, 2020.
"Irregular Identification of Structural Models with Nonparametric Unobserved Heterogeneity,"
Papers
2005.08611, arXiv.org.
- Escanciano, Juan Carlos, 2023. "Irregular identification of structural models with nonparametric unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 234(1), pages 106-127.
- Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2017.
"Going beyond LATE: Bounding Average Treatment Effects of Job Corps Training,"
GLO Discussion Paper Series
93, Global Labor Organization (GLO).
- Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2015. "Going Beyond LATE: Bounding Average Treatment Effects of Job Corps Training," IZA Discussion Papers 9511, Institute of Labor Economics (IZA).
- Jiannan Lu & Yunshu Zhang & Peng Ding, 2020. "Sharp bounds on the relative treatment effect for ordinal outcomes," Biometrics, The International Biometric Society, vol. 76(2), pages 664-669, June.
- Marcelo J. Moreira & Geert Ridder, 2020.
"Efficiency Loss of Asymptotically Efficient Tests in an Instrumental Variables Regression,"
Papers
2008.13042, arXiv.org, revised Sep 2021.
- Marcelo Moreira & Geert Ridder, 2019. "Efficiency loss of asymptotically efficient tests in an instrumental variables regression," CeMMAP working papers CWP03/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Wang, Xintong & Flores-Lagunes, Alfonso, 2020.
"Conscription and Military Service: Do They Result in Future Violent and Non-Violent Incarcerations and Recidivism?,"
IZA Discussion Papers
14003, Institute of Labor Economics (IZA).
- Wang, Xintong & Flores-Lagunes, Alfonso, 2021. "Conscription and Military Service: Do They Result in Future Violent and Non-Violent Incarcerations and Recidivism?," GLO Discussion Paper Series 751, Global Labor Organization (GLO).
- Xintong Wang & Alfonso Flores-Lagunes, 2022. "Conscription and Military Service: Do They Result in Future Violent and Nonviolent Incarcerations and Recidivism?," Journal of Human Resources, University of Wisconsin Press, vol. 57(5), pages 1715-1757.
- Hiroaki Kaido & Yi Zhang, 2019.
"Robust likelihood ratio tests for incomplete economic models,"
CeMMAP working papers
CWP68/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hiroaki Kaido & Yi Zhang, 2019. "Robust Likelihood Ratio Tests for Incomplete Economic Models," Papers 1910.04610, arXiv.org, revised Dec 2019.
- Kirill Ponomarev & Vira Semenova, 2024. "On the Lower Confidence Band for the Optimal Welfare," Papers 2410.07443, arXiv.org, revised Oct 2024.
- Bulat Gafarov, 2019. "Simple subvector inference on sharp identified set in affine models," Papers 1904.00111, arXiv.org, revised Jul 2024.
- Song, Kyungchul, 2014. "Local asymptotic minimax estimation of nonregular parameters with translation-scale equivariant maps," Journal of Multivariate Analysis, Elsevier, vol. 125(C), pages 136-158.
- Gerard, François & Rothe, Christoph & Rokkanen, Miikka, 2016. "Bounds on Treatment Effects in Regression Discontinuity Designs under Manipulation of the Running Variable, with an Application," CEPR Discussion Papers 11668, C.E.P.R. Discussion Papers.
- Riccardo D'Adamo, 2021. "Orthogonal Policy Learning Under Ambiguity," Papers 2111.10904, arXiv.org, revised Dec 2022.
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"Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice,"
Econometrica, Econometric Society, vol. 86(2), pages 591-616, March.
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- Toru Kitagawa & Aleksey Tetenov, 2015. "Who should be Treated? Empirical Welfare Maximization Methods for Treatment Choice," Carlo Alberto Notebooks 402, Collegio Carlo Alberto.
- Toru Kitagawa & Aleksey Tetenov, 2015. "Who should be treated? Empirical welfare maximization methods for treatment choice," CeMMAP working papers CWP10/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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CeMMAP working papers
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Journal of Econometrics, Elsevier, vol. 166(1), pages 157-165.
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Econometrica, Econometric Society, vol. 89(2), pages 825-848, March.
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"Frequentist properties of Bayesian inequality tests,"
Journal of Econometrics, Elsevier, vol. 221(1), pages 312-336.
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Econometrica, Econometric Society, vol. 80(4), pages 1769-1790, July.
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The Japanese Economic Review, Springer, vol. 67(1), pages 33-49, March.
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"Monte Carlo confidence sets for identified sets,"
CeMMAP working papers
CWP43/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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- Xiaohong Chen & Timothy Christensen & Elie Tamer, 2016. "Monte Carlo Confidence Sets for Identified Sets," Papers 1605.00499, arXiv.org, revised Sep 2017.
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- Xiaohong Chen & Timothy M. Christensen & Keith O'Hara & Elie Tamer, 2016.
"MCMC confidence sets for identified sets,"
CeMMAP working papers
CWP28/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Xiaohong Chen & Timothy Christensen & Elie Tamer, 2016. "MCMC Confidence sets for Identified Sets," Cowles Foundation Discussion Papers 2037, Cowles Foundation for Research in Economics, Yale University.
- Xiaohong Chen & Timothy Christensen & Keith O’Hara & Elie Tamer, 2016. "MCMC Confidence sets for Identified Sets," Cowles Foundation Discussion Papers 2037R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2016.
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"Do farmers value the environment? Evidence from a conservation reserve program auction,"
International Journal of Industrial Organization, Elsevier, vol. 26(6), pages 1323-1332, November.
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"Semiparametric Power Envelopes for Tests of the Unit Root Hypothesis,"
Econometrica, Econometric Society, vol. 76(5), pages 1103-1142, September.
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"Entry and Competition Effects in First-Price Auctions: Theory and Evidence from Procurement Auctions,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(4), pages 1397-1429.
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"Assessing the Performance of Simple Contracts Empirically:The Case of Percentage Fees,"
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ANU Working Papers in Economics and Econometrics
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- Joel L. Horowitz, 2018. "Bootstrap methods in econometrics," CeMMAP working papers CWP53/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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"Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score,"
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"A note on adapting propensity score matching and selection models to choice based samples,"
Econometrics Journal, Royal Economic Society, vol. 12(s1), pages 230-234, January.
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"A Framework for Separating Individual Treatment Effects from Spillover, Interaction, and General Equilibrium Effects,"
IZA Discussion Papers
10648, Institute of Labor Economics (IZA).
- Huber, Martin & Steinmayr, Andreas, 2017. "A framework for separating individual treatment effects from spillover, interaction, and general equilibrium effects," FSES Working Papers 481, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Huber, Martin & Steinmayr, Andreas, 2017. "A Framework for Separating Individual Treatment Effects From Spillover, Interaction, and General Equilibrium Effects," Rationality and Competition Discussion Paper Series 21, CRC TRR 190 Rationality and Competition.
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"Nonparametric Tests for Treatment Effect Heterogeneity,"
NBER Technical Working Papers
0324, National Bureau of Economic Research, Inc.
- Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2008. "Nonparametric Tests for Treatment Effect Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 389-405, August.
- Mitnik, Oscar K. & Imbens, Guido & Hotz, V. Joseph & Crump, Richard K., 2008. "Nonparametric Tests for Treatment Effect Heterogeneity," Scholarly Articles 3039049, Harvard University Department of Economics.
- Crump, Richard K. & Hotz, V. Joseph & Imbens, Guido W. & Mitnik, Oscar A., 2006. "Nonparametric Tests for Treatment Effect Heterogeneity," IZA Discussion Papers 2091, Institute of Labor Economics (IZA).
- Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Nonparametric Tests for Treatment Effect Heterogeneity," Working Papers 0609, University of Miami, Department of Economics.
- Federico A. Bugni & Mengsi Gao & Filip Obradovic & Amilcar Velez, 2024. "Identification and Inference on Treatment Effects under Covariate-Adaptive Randomization and Imperfect Compliance," Papers 2406.08419, arXiv.org, revised Jun 2024.
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"Fungibility and the flypaper effect of project aid: Micro-evidence for Vietnam,"
Journal of Development Economics, Elsevier, vol. 84(2), pages 667-685, November.
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"Effects of Privatization on Exporting Decisions: Firm-level evidence from Chinese state-owned enterprises,"
Discussion papers
12015, Research Institute of Economy, Trade and Industry (RIETI).
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"The Impact of Bolsa Família on Women’s Decision-Making Power,"
World Development, Elsevier, vol. 59(C), pages 487-504.
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- Alan de Brauw & Daniel O. Gilligan & John Hoddinott & Shalini Roy, 2014. "The Impact of Bolsa Família on Women’s Decision-Making Power," One Pager Arabic 238, International Policy Centre for Inclusive Growth.
- Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018.
"High-Dimensional Econometrics and Regularized GMM,"
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1806.01888, arXiv.org, revised Jun 2018.
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"Do Local Economic Development Programs Work? Evidence from the Federal Empowerment Zone Program,"
Working Papers
36, Yale University, Department of Economics.
- Matias Busso & Patrick Kline, 2008. "Do Local Economic Development Programs Work? Evidence from the Federal Empowerment Zone Program," Cowles Foundation Discussion Papers 1639, Cowles Foundation for Research in Economics, Yale University.
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"Estimating the Effect of Treatments Allocated by Randomized Waiting Lists,"
Econometrica, Econometric Society, vol. 88(4), pages 1453-1477, July.
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- Clément Chaisemartin & Luc Behaghel, 2020. "Estimating the Effect of Treatments Allocated by Randomized Waiting Lists," PSE-Ecole d'économie de Paris (Postprint) halshs-02973595, HAL.
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"Nonparametric Estimation of ATE and QTE: An Application of Fractile Graphical Analysis,"
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"Violence, trust, and trustworthiness: evidence from a Nairobi slum,"
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"Federated Causal Inference in Heterogeneous Observational Data,"
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"Model averaging in semiparametric estimation of treatment effects,"
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"Effects of eligibility for central bank purchases on corporate bond spreads,"
BIS Working Papers
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"Propensity Score Matching, a Distance-Based Measure of Migration, and the Wage Growth of Young Men,"
Working Papers
2004_3, York University, Department of Economics.
- John C. Ham & Xianghong Li & Patricia B. Reagan, 2004. "Propensity Score Matching, a Distance-Based Measure of Migration, and the Wage Growth of Young Men," IEPR Working Papers 05.13, Institute of Economic Policy Research (IEPR).
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"Impacts of an early stage education intervention on students'learning achievement : evidence from the Philippines,"
Policy Research Working Paper Series
6246, The World Bank.
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"Short-Run Effects of Parental Job Loss on Child Health,"
American Journal of Health Economics, University of Chicago Press, vol. 5(1), pages 8-41, Winter.
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"Heterogeneity of the Carnegie Effect,"
Journal of Human Resources, University of Wisconsin Press, vol. 54(3), pages 726-759.
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"Generic machine learning inference on heterogenous treatment effects in randomized experiments,"
CeMMAP working papers
CWP61/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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"Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching,"
NBER Working Papers
22098, National Bureau of Economic Research, Inc.
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"Approximate residual balancing: debiased inference of average treatment effects in high dimensions,"
Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(4), pages 597-623, September.
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"Impacts of Aid-Funded Technical Assistance Programs: Firm-Level Evidence from the Indonesian Foundry Industry,"
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"The gender pay gap in the USA: a matching study,"
Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 271-305, January.
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"Employment and Training Programs,"
NBER Chapters, in: Economics of Means-Tested Transfer Programs in the United States, Volume 2, pages 127-234,
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"Are the Benefits of Export Support Durable? Evidence from Tunisia,"
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"Reformulating Competition: Gasoline Content Regulation and Wholesale Gasoline Prices,"
Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series
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The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 8(1), pages 1-55, November.
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"Inferring Welfare Maximizing Treatment Assignment under Budget Constraints,"
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"Adaptive Experimental Design Using the Propensity Score,"
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"Public R&D subsidies: collaborative versus individual place-based programs for SMEs,"
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"Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST),"
NBER Working Papers
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"Identification of attrition bias using different types of panel refreshments,"
Economics Letters, Elsevier, vol. 201(C).
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"Wage Mobility of Foreign-Born Workers in the United States,"
Journal of Human Resources, University of Wisconsin Press, vol. 48(3), pages 628-658.
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"Optimally combining censored and uncensored datasets,"
Working Papers
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- Paul J. Devereux & Gautam Tripathi, 2005. "Optimally Combining Censored and Uncensored Datasets," Working papers 2005-10, University of Connecticut, Department of Economics, revised Oct 2007.
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"Using Weights to Adjust for Sample Selection When Auxiliary Information is Available,"
NBER Technical Working Papers
0275, National Bureau of Economic Research, Inc.
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- Yamana Kazufumi, 2020. "Monte Carlo Evidence on the Estimation Method for Industry Dynamics," Journal of Econometric Methods, De Gruyter, vol. 9(1), pages 1-12, January.
- Kosuke Imai, 2009. "Statistical analysis of randomized experiments with non‐ignorable missing binary outcomes: an application to a voting experiment," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(1), pages 83-104, February.
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- Simon Calmar Andersen & Louise Beuchert & Phillip Heiler & Helena Skyt Nielsen, 2023. "A Guide to Impact Evaluation under Sample Selection and Missing Data: Teacher's Aides and Adolescent Mental Health," Papers 2308.04963, arXiv.org.
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"Inverse Probability Tilting for Moment Condition Models with Missing Data,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.
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- Bert Van Landeghem, 2012. "Panel Conditioning and Self-Reported Satisfaction: Evidence from International Panel Data and Repeated Cross-Sections," SOEPpapers on Multidisciplinary Panel Data Research 484, DIW Berlin, The German Socio-Economic Panel (SOEP).
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- Ryo Kato & Takahiro Hoshino, 2020. "Semiparametric Bayesian Instrumental Variables Estimation for Nonignorable Missing Instruments," Discussion Paper Series DP2020-06, Research Institute for Economics & Business Administration, Kobe University.
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- Yuehao Bai & Meng Hsuan Hsieh & Jizhou Liu & Max Tabord‐Meehan, 2024. "Revisiting the analysis of matched‐pair and stratified experiments in the presence of attrition," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(2), pages 256-268, March.
- Emre Ekinci, 2009. "Dealing with Attrition When Refreshment Samples are Available: An Application to the Turkish Household Labor Force Survey," 2009 Meeting Papers 353, Society for Economic Dynamics.
Articles
- Keisuke Hirano & Jonathan H. Wright, 2017.
"Forecasting With Model Uncertainty: Representations and Risk Reduction,"
Econometrica, Econometric Society, vol. 85, pages 617-643, March.
Cited by:
- Peter C. B. Phillips & Zhentao Shi, 2021.
"Boosting: Why You Can Use The Hp Filter,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 521-570, May.
- Peter C.B. Phillips & Zhentao Shi, 2019. "Boosting: Why you Can Use the HP Filter," Cowles Foundation Discussion Papers 2212, Cowles Foundation for Research in Economics, Yale University.
- Peter C. B. Phillips & Zhentao Shi, 2019. "Boosting: Why You Can Use the HP Filter," Papers 1905.00175, arXiv.org, revised Nov 2020.
- Siemsen, Thomas & Vilsmeier, Johannes, 2017. "A stress test framework for the German residential mortgage market: Methodology and application," Discussion Papers 37/2017, Deutsche Bundesbank.
- Norman R. Swanson & Weiqi Xiong, 2018.
"Big data analytics in economics: What have we learned so far, and where should we go from here?,"
Canadian Journal of Economics, Canadian Economics Association, vol. 51(3), pages 695-746, August.
- Norman R. Swanson & Weiqi Xiong, 2018. "Big data analytics in economics: What have we learned so far, and where should we go from here?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(3), pages 695-746, August.
- Keisuke Hirano & Jack R. Porter, 2023. "Asymptotic Representations for Sequential Decisions, Adaptive Experiments, and Batched Bandits," Papers 2302.03117, arXiv.org.
- Peter C.B. Phillips & Zhentao Shi, 2019. "Boosting the Hodrick-Prescott Filter," Cowles Foundation Discussion Papers 2192, Cowles Foundation for Research in Economics, Yale University.
- Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022.
"On LASSO for predictive regression,"
Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
- Ji Hyung Lee & Zhentao Shi & Zhan Gao, 2018. "On LASSO for Predictive Regression," Papers 1810.03140, arXiv.org, revised Feb 2021.
- Travis J. Berge, 2017.
"Understanding Survey Based Inflation Expectations,"
Finance and Economics Discussion Series
2017-046, Board of Governors of the Federal Reserve System (U.S.).
- Berge, Travis J., 2018. "Understanding survey-based inflation expectations," International Journal of Forecasting, Elsevier, vol. 34(4), pages 788-801.
- Gourieroux, Christian & Jasiak, Joann, 2010. "Inference for Noisy Long Run Component Process," MPRA Paper 98987, University Library of Munich, Germany.
- Yi-Ting Chen & Chu-An Liu, 2021.
"Model Averaging for Asymptotically Optimal Combined Forecasts,"
IEAS Working Paper : academic research
21-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan.
- Chen, Yi-Ting & Liu, Chu-An, 2023. "Model averaging for asymptotically optimal combined forecasts," Journal of Econometrics, Elsevier, vol. 235(2), pages 592-607.
- Boot, Tom & Nibbering, Didier, 2019.
"Forecasting using random subspace methods,"
Journal of Econometrics, Elsevier, vol. 209(2), pages 391-406.
- Tom Boot & Didier Nibbering, 2016. "Forecasting Using Random Subspace Methods," Tinbergen Institute Discussion Papers 16-073/III, Tinbergen Institute, revised 11 Aug 2017.
- Wright, Jonathan H., 2019. "Some observations on forecasting and policy," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1186-1192.
- Norman R. Swanson & Weiqi Xiong & Xiye Yang, 2020. "Predicting interest rates using shrinkage methods, real‐time diffusion indexes, and model combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 587-613, August.
- Yinchu Zhu, 2021. "Phase transition of the monotonicity assumption in learning local average treatment effects," Papers 2103.13369, arXiv.org.
- Benjamin Garcia & Arsenios Skaperdas, 2017. "Inferring the Shadow Rate from Real Activity," Finance and Economics Discussion Series 2017-106, Board of Governors of the Federal Reserve System (U.S.).
- Peter C. B. Phillips & Zhentao Shi, 2021.
"Boosting: Why You Can Use The Hp Filter,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 521-570, May.
- Daniel Ackerberg & Keisuke Hirano & Quazi Shahriar, 2017.
"Identification of time and risk preferences in buy price auctions,"
Quantitative Economics, Econometric Society, vol. 8(3), pages 809-849, November.
Cited by:
- David Freeman & Erik O. Kimbrough & J. Philipp Reiss, 2017.
"Opportunity cost, inattention and the bidder's curse,"
Discussion Papers
dp17-04, Department of Economics, Simon Fraser University.
- Freeman, David & Kimbrough, Erik O. & Reiss, J. Philipp, 2017. "Opportunity cost, inattention and the bidder's curse," Working Paper Series in Economics 101, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
- Freeman, David J. & Kimbrough, Erik O. & Reiss, J. Philipp, 2020. "Opportunity cost, inattention and the bidder’s curse," European Economic Review, Elsevier, vol. 129(C).
- Xiaohong Chen & Matthew Gentry & Tong Li & Jingfeng Lu, 2020. "Identification and Inference in First-Price Auctions with Risk Averse Bidders and Selective Entry," Cowles Foundation Discussion Papers 2257, Cowles Foundation for Research in Economics, Yale University.
- Federico Zincenko, 2019.
"Testing for Risk Aversion in First-Price Sealed-Bid Auctions,"
Working Paper
6641, Department of Economics, University of Pittsburgh.
- Jun, Sung Jae & Zincenko, Federico, 2022. "Testing for risk aversion in first-price sealed-bid auctions," Journal of Econometrics, Elsevier, vol. 226(2), pages 295-320.
- Barkley, Aaron & Groeger, Joachim R. & Miller, Robert A., 2021. "Bidding frictions in ascending auctions," Journal of Econometrics, Elsevier, vol. 223(2), pages 376-400.
- David Freeman & Erik O. Kimbrough & J. Philipp Reiss, 2017.
"Opportunity cost, inattention and the bidder's curse,"
Discussion Papers
dp17-04, Department of Economics, Simon Fraser University.
- Keisuke Hirano & Jack R. Porter, 2016.
"Panel Asymptotics and Statistical Decision Theory,"
The Japanese Economic Review, Japanese Economic Association, vol. 67(1), pages 33-49, March.
- Keisuke Hirano & Jack R. Porter, 2016. "Panel Asymptotics and Statistical Decision Theory," The Japanese Economic Review, Springer, vol. 67(1), pages 33-49, March.
Cited by:
- Susan Athey & Stefan Wager, 2021.
"Policy Learning With Observational Data,"
Econometrica, Econometric Society, vol. 89(1), pages 133-161, January.
- Susan Athey & Stefan Wager, 2017. "Policy Learning with Observational Data," Papers 1702.02896, arXiv.org, revised Sep 2020.
- Keisuke Hirano & Jack R. Porter, 2015.
"Location Properties of Point Estimators in Linear Instrumental Variables and Related Models,"
Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 720-733, December.
Cited by:
- Isaiah Andrews & Timothy B. Armstrong, 2015.
"Unbiased Instrumental Variables Estimation under Known First-Stage Sign,"
Cowles Foundation Discussion Papers
1984R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2015.
- Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R2, Cowles Foundation for Research in Economics, Yale University, revised Sep 2015.
- Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984, Cowles Foundation for Research in Economics, Yale University.
- Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R3, Cowles Foundation for Research in Economics, Yale University, revised Oct 2015.
- Isaiah Andrews & Timothy B. Armstrong, 2017. "Unbiased instrumental variables estimation under known first‐stage sign," Quantitative Economics, Econometric Society, vol. 8(2), pages 479-503, July.
- Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R4, Cowles Foundation for Research in Economics, Yale University, revised Apr 2016.
- Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R5, Cowles Foundation for Research in Economics, Yale University, revised Nov 2016.
- Silvia Moler‐Zapata & Richard Grieve & Anirban Basu & Stephen O’Neill, 2023. "How does a local instrumental variable method perform across settings with instruments of differing strengths? A simulation study and an evaluation of emergency surgery," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 2113-2126, September.
- Tetsuya Kaji, 2021. "Theory of Weak Identification in Semiparametric Models," Econometrica, Econometric Society, vol. 89(2), pages 733-763, March.
- Roach, Travis & Nath, Saheli, 2023. "Counties with More Vietnam Veterans Have Higher Suicide Rates," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 53(1), April.
- David M. Kaplan, 2019. "Unbiased Estimation as a Public Good," Working Papers 1911, Department of Economics, University of Missouri.
- Karthik Rajkumar, 2019. "Ridge regularization for Mean Squared Error Reduction in Regression with Weak Instruments," Papers 1904.08580, arXiv.org.
- Isaiah Andrews & Timothy B. Armstrong, 2015.
"Unbiased Instrumental Variables Estimation under Known First-Stage Sign,"
Cowles Foundation Discussion Papers
1984R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2015.
- Keisuke Hirano & Jack R. Porter, 2012.
"Impossibility Results for Nondifferentiable Functionals,"
Econometrica, Econometric Society, vol. 80(4), pages 1769-1790, July.
See citations under working paper version above.
- Hirano, Keisuke & Porter, Jack, 2009. "Impossibility Results for Nondifferentiable Functionals," MPRA Paper 15990, University Library of Munich, Germany.
- Bryan S. Graham & Keisuke Hirano, 2011.
"Robustness to Parametric Assumptions in Missing Data Models,"
American Economic Review, American Economic Association, vol. 101(3), pages 538-543, May.
Cited by:
- Keisuke Hirano & Jack R. Porter, 2016.
"Panel Asymptotics and Statistical Decision Theory,"
The Japanese Economic Review, Springer, vol. 67(1), pages 33-49, March.
- Keisuke Hirano & Jack R. Porter, 2016. "Panel Asymptotics and Statistical Decision Theory," The Japanese Economic Review, Japanese Economic Association, vol. 67(1), pages 33-49, March.
- Keisuke Hirano & Jack R. Porter, 2016.
"Panel Asymptotics and Statistical Decision Theory,"
The Japanese Economic Review, Springer, vol. 67(1), pages 33-49, March.
- 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.
See citations under working paper version above.- 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, 2009. "Adaptive Experimental Design Using the Propensity Score," Working Papers 59, Yale University, Department of Economics.
- Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean S., 2009. "Adaptive Experimental Design Using the Propensity Score," Center Discussion Papers 47107, Yale University, Economic Growth Center.
- Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean, 2008. "Adaptive Experimental Design Using the Propensity Score," MPRA Paper 8315, University Library of Munich, Germany.
- Hirano, Keisuke & Hahn, Jinyong, 2010.
"Design of randomized experiments to measure social interaction effects,"
Economics Letters, Elsevier, vol. 106(1), pages 51-53, January.
Cited by:
- Steven N. Durlauf & Yannis M. Ioannides, 2009.
"Social Interactions,"
Discussion Papers Series, Department of Economics, Tufts University
0739, Department of Economics, Tufts University.
- Steven N. Durlauf & Yannis M. Ioannides, 2010. "Social Interactions," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 451-478, September.
- Sarah Baird & Aislinn Bohren & Berk Ozler & Craig McIntosh, 2014.
"Designing Experiments to Measure Spillover Effects,"
Working Papers
2014-11, The George Washington University, Institute for International Economic Policy.
- Baird, Sarah & Bohren, Aislinn & McIntosh, Craig & Ozler, Berk, 2014. "Designing experiments to measure spillover effects," Policy Research Working Paper Series 6824, The World Bank.
- Sarah Baird & J. Aislinn Bohren & Craig McIntosh & Berk Ozler, 2014. "Designing Experiments to Measure Spillover Effects," PIER Working Paper Archive 14-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Sarah Baird & Aislinn Bohren & Craig McIntosh & Berk Ozler, 2014. "Designing Experiments to Measure Spillover Effects," PIER Working Paper Archive 14-032, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Braun, Martin & Verdier, Valentin, 2023. "Estimation of spillover effects with matched data or longitudinal network data," Journal of Econometrics, Elsevier, vol. 233(2), pages 689-714.
- Sarah Baird & Aislinn Bohren & Craig McIntosh & Berk Ozler, 2015. "Designing Experiments to Measure Spillover Effects, Second Version," PIER Working Paper Archive 15-021, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Jun 2015.
- Cruces, Guillermo & Tortarolo, Dario & Vazquez-Bare, Gonzalo, 2024.
"Design of Partial Population Experiments with an Application to Spillovers in Tax Compliance,"
IZA Discussion Papers
17256, Institute of Labor Economics (IZA).
- Dario Tortarolo & Guillermo Cruces & Gonzalo Vazquez-Bare, 2023. "Design of partial population experiments with an application to spillovers in tax compliance," IFS Working Papers W23/17, Institute for Fiscal Studies.
- Guillermo Cruces & Dario Tortarolo & Gonzalo Vazquez-Bare, 2024. "Design of Partial Population Experiments with an Application to Spillovers in Tax Compliance," CEDLAS, Working Papers 0337, CEDLAS, Universidad Nacional de La Plata.
- Vazquez-Bare, Gonzalo, 2023. "Identification and estimation of spillover effects in randomized experiments," Journal of Econometrics, Elsevier, vol. 237(1).
- Angelucci,M. & Di Maro,Vincenzo, 2015.
"Program evaluation and spillover effects,"
Policy Research Working Paper Series
7243, The World Bank.
- Manuela Angelucci & Vincenzo Di Maro, 2010. "Program Evaluation and Spillover Effects," SPD Working Papers 1003, Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD).
- M. Angelucci & V. Di Maro, 2016. "Programme evaluation and spillover effects," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 8(1), pages 22-43, March.
- Angelucci, Manuela & Di Maro, Vincenzo, 2015. "Program Evaluation and Spillover Effects," IZA Discussion Papers 9033, Institute of Labor Economics (IZA).
- Gonzalo Vazquez-Bare, 2017. "Identification and Estimation of Spillover Effects in Randomized Experiments," Papers 1711.02745, arXiv.org, revised Jan 2022.
- 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.
- Michael P. Leung, 2020. "Treatment and Spillover Effects Under Network Interference," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 368-380, May.
- Steven N. Durlauf & Yannis M. Ioannides, 2009.
"Social Interactions,"
Discussion Papers Series, Department of Economics, Tufts University
0739, Department of Economics, Tufts University.
- Keisuke Hirano & Jack R. Porter, 2009.
"Asymptotics for Statistical Treatment Rules,"
Econometrica, Econometric Society, vol. 77(5), pages 1683-1701, September.
See citations under working paper version above.
- Hirano, Keisuke & Porter, Jack, 2006. "Asymptotics for statistical treatment rules," MPRA Paper 1173, University Library of Munich, Germany.
- Keisuke Hirano & Jack R. Porter, 2003.
"Asymptotic Efficiency in Parametric Structural Models with Parameter-Dependent Support,"
Econometrica, Econometric Society, vol. 71(5), pages 1307-1338, September.
See citations under working paper version above.
- Keisuke Hirano & Jack R. Porter, 2002. "Asymptotic Efficiency in Parametric Structural Models with Parameter-Dependent Support," Harvard Institute of Economic Research Working Papers 1988, Harvard - Institute of Economic Research.
- 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.
See citations under working paper version above.
- 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.
- Keisuke Hirano, 2002.
"Semiparametric Bayesian Inference in Autoregressive Panel Data Models,"
Econometrica, Econometric Society, vol. 70(2), pages 781-799, March.
Cited by:
- Mark J. Jensen & John M. Maheu, 2008.
"Bayesian semiparametric stochastic volatility modeling,"
FRB Atlanta Working Paper
2008-15, Federal Reserve Bank of Atlanta.
- Jensen, Mark J. & Maheu, John M., 2010. "Bayesian semiparametric stochastic volatility modeling," Journal of Econometrics, Elsevier, vol. 157(2), pages 306-316, August.
- Mark J Jensen & John M Maheu, 2008. "Bayesian semiparametric stochastic volatility modeling," Working Papers tecipa-314, University of Toronto, Department of Economics.
- Mark J. Jensen & John M. Maheu, 2009. "Bayesian Semiparametric Stochastic Volatility Modeling," Working Paper series 23_09, Rimini Centre for Economic Analysis.
- Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019.
"Forecasting with a Panel Tobit Model,"
CAEPR Working Papers
2019-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," NBER Working Papers 26569, National Bureau of Economic Research, Inc.
- Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2023. "Forecasting with a panel Tobit model," Quantitative Economics, Econometric Society, vol. 14(1), pages 117-159, January.
- Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2021. "Forecasting with a Panel Tobit Model," Papers 2110.14117, arXiv.org, revised Jul 2022.
- Griffin, J.E. & Steel, M.F.J., 2011. "Stick-breaking autoregressive processes," Journal of Econometrics, Elsevier, vol. 162(2), pages 383-396, June.
- Fisher, Mark & Jensen, Mark J., 2022.
"Bayesian nonparametric learning of how skill is distributed across the mutual fund industry,"
Journal of Econometrics, Elsevier, vol. 230(1), pages 131-153.
- Mark Fisher & Mark J. Jensen & Paula A. Tkac, 2019. "Bayesian Nonparametric Learning of How Skill Is Distributed across the Mutual Fund Industry," FRB Atlanta Working Paper 2019-3, Federal Reserve Bank of Atlanta.
- Tong Li & Xiaoyong Zheng, 2009.
"Entry and Competition Effects in First-Price Auctions: Theory and Evidence from Procurement Auctions,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(4), pages 1397-1429.
- Tong Li & Xiaoyong Zheng, 2006. "Entry and competition effects in first-price auctions: theory and evidence from procurement auctions," CeMMAP working papers CWP13/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Martin Burda & Matthew C. Harding & Jerry Hausman, 2008.
"A Bayesian mixed logit-probit model for multinomial choice,"
CeMMAP working papers
CWP23/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Burda, Martin & Harding, Matthew & Hausman, Jerry, 2008. "A Bayesian mixed logit-probit model for multinomial choice," Journal of Econometrics, Elsevier, vol. 147(2), pages 232-246, December.
- Xin Jin & John M. Maheu, 2014.
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