A bias bound approach to nonparametric inference
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DOI: 10.1920/wp.cem.2015.7115
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- Susanne M Schennach, 2020. "A Bias Bound Approach to Non-parametric Inference," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(5), pages 2439-2472.
- Susanne M. Schennach, 2015. "A bias bound approach to nonparametric inference," CeMMAP working papers CWP71/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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Cited by:
- Timothy B. Armstrong & Michal Kolesár, 2018.
"Optimal Inference in a Class of Regression Models,"
Econometrica, Econometric Society, vol. 86(2), pages 655-683, March.
- Timothy B. Armstrong & Michal Koles�r, 2016. "Optimal Inference in a Class of Regression Models," Cowles Foundation Discussion Papers 2043, Cowles Foundation for Research in Economics, Yale University.
- Timothy B. Armstrong & Michal Koles�r, 2016. "Optimal Inference in a Class of Regression Models," Cowles Foundation Discussion Papers 2043R2, Cowles Foundation for Research in Economics, Yale University, revised Dec 2017.
- Timothy B. Armstrong & Michal Koles�r, 2016. "Optimal Inference in a Class of Regression Models," Cowles Foundation Discussion Papers 2043R, Cowles Foundation for Research in Economics, Yale University, revised May 2017.
- Timothy B Armstrong & Michal Kolesár, 2018.
"A Simple Adjustment for Bandwidth Snooping,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(2), pages 732-765.
- Timothy B. Armstrong & Michal Kolesar, 2014. "A Simple Adjustment for Bandwidth Snooping," Cowles Foundation Discussion Papers 1961R3, Cowles Foundation for Research in Economics, Yale University, revised Jun 2017.
- Timothy B. Armstrong & Michal Kolesar, 2014. "A Simple Adjustment for Bandwidth Snooping," Cowles Foundation Discussion Papers 1961R2, Cowles Foundation for Research in Economics, Yale University, revised Oct 2016.
- Timothy B. Armstrong & Michal Kolesar, 2014. "A Simple Adjustment for Bandwidth Snooping," Cowles Foundation Discussion Papers 1961R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2015.
- Timothy B. Armstrong & Michal Kolesar, 2014. "A Simple Adjustment for Bandwidth Snooping," Cowles Foundation Discussion Papers 1961, Cowles Foundation for Research in Economics, Yale University.
- Kengo Kato & Yuya Sasaki & Takuya Ura, 2021. "Robust inference in deconvolution," Quantitative Economics, Econometric Society, vol. 12(1), pages 109-142, January.
- Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018.
"On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 767-779, April.
- Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2015. "On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference," Papers 1508.02973, arXiv.org, revised Mar 2018.
- Harold D. Chiang & Kengo Kato & Yuya Sasaki & Takuya Ura, 2021. "Linear programming approach to nonparametric inference under shape restrictions: with an application to regression kink designs," Papers 2102.06586, arXiv.org.
- Timothy B. Armstrong, 2018.
"Adaptation Bounds for Confidence Bands under Self-Similarity,"
Cowles Foundation Discussion Papers
2146, Cowles Foundation for Research in Economics, Yale University.
- Timothy B. Armstrong, 2018. "Adaptation Bounds for Confidence Bands under Self-Similarity," Cowles Foundation Discussion Papers 2146R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2019.
- Sasaki, Yuya & Wang, Yulong, 2024. "On uniform confidence intervals for the tail index and the extreme quantile," Journal of Econometrics, Elsevier, vol. 244(1).
- Byunghoon Kang, 2018. "Inference in Nonparametric Series Estimation with Specification Searches for the Number of Series Terms," Working Papers 240829404, Lancaster University Management School, Economics Department.
- Byunghoon Kang, 2017. "Inference in Nonparametric Series Estimation with Data-Dependent Undersmoothing," Working Papers 170712442, Lancaster University Management School, Economics Department.
- Yuya Sasaki & Takuya Ura, 2021. "Slow Movers in Panel Data," Papers 2110.12041, arXiv.org.
- Kato, Kengo & Sasaki, Yuya, 2019. "Uniform confidence bands for nonparametric errors-in-variables regression," Journal of Econometrics, Elsevier, vol. 213(2), pages 516-555.
- Kato, Kengo & Sasaki, Yuya, 2018. "Uniform confidence bands in deconvolution with unknown error distribution," Journal of Econometrics, Elsevier, vol. 207(1), pages 129-161.
- 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.
- Byunghoon Kang, 2019. "Inference in Nonparametric Series Estimation with Specification Searches for the Number of Series Terms," Papers 1909.12162, arXiv.org, revised Feb 2020.
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