A General Approach to Sensitivity Analysis for Mendelian Randomization
Author
Abstract
Suggested Citation
DOI: 10.1007/s12561-020-09280-5
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Michal Kolesár & Raj Chetty & John Friedman & Edward Glaeser & Guido W. Imbens, 2015.
"Identification and Inference With Many Invalid Instruments,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 474-484, October.
- Michal Kolesár & Raj Chetty & John N. Friedman & Edward L. Glaeser & Guido W. Imbens, 2011. "Identification and Inference with Many Invalid Instruments," NBER Working Papers 17519, National Bureau of Economic Research, Inc.
- Kolesar, Michal & Chetty, Raj & Friedman, John & Glaeser, Edward Ludwig & Imbens, Guido, 2015. "Identification and Inference With Many Invalid Instruments," Scholarly Articles 27769098, Harvard University Department of Economics.
- Chao, John & Swanson, Norman R., 2007.
"Alternative approximations of the bias and MSE of the IV estimator under weak identification with an application to bias correction,"
Journal of Econometrics, Elsevier, vol. 137(2), pages 515-555, April.
- John Chao & Norman Swanson, 2003. "Alternative Approximations of the Bias and MSE of the IV Estimator Under Weak Identification With an Application to Bias Correction," Departmental Working Papers 200315, Rutgers University, Department of Economics.
- John C. Chao & Norman Rasmus Swanson, 2004. "Alternative Approximations of the Bias and MSE of the IV Estimator Under Weak Identification with an Application to Bias Correction," Yale School of Management Working Papers ysm375, Yale School of Management.
- John Chao & Norman R. Swanson, 2003. "Alternative Approximations of the Bias and MSE of the IV Estimator under Weak Identification with an Application to Bias Correction," Cowles Foundation Discussion Papers 1418, Cowles Foundation for Research in Economics, Yale University.
- Xuran Wang & Yang Jiang & Nancy R. Zhang & Dylan S. Small, 2018. "Sensitivity analysis and power for instrumental variable studies," Biometrics, The International Biometric Society, vol. 74(4), pages 1150-1160, December.
- Small, Dylan S., 2007. "Sensitivity Analysis for Instrumental Variables Regression With Overidentifying Restrictions," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 1049-1058, September.
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.- Hans (J.L.W.) van Kippersluis & Niels (C.A.) Rietveld, 2017. "Beyond Plausibly Exogenous," Tinbergen Institute Discussion Papers 17-096/V, Tinbergen Institute.
- Shuxi Zeng & Fan Li & Peng Ding, 2020. "Is being an only child harmful to psychological health?: evidence from an instrumental variable analysis of China's one‐child policy," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1615-1635, October.
- Gyuhyeong Goh & Jisang Yu, 2022. "Causal inference with some invalid instrumental variables: A quasi‐Bayesian approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(6), pages 1432-1451, December.
- Damian Clarke & Benjamín Matta, 2018.
"Practical considerations for questionable IVs,"
Stata Journal, StataCorp LP, vol. 18(3), pages 663-691, September.
- Clarke, Damian & Matta, Benjamín, 2017. "Practical Considerations for Questionable IVs," MPRA Paper 79991, University Library of Munich, Germany.
- Ruoyao Shi & Zhipeng Liao, 2018. "An Averaging GMM Estimator Robust to Misspecification," Working Papers 201803, University of California at Riverside, Department of Economics.
- Shuxi Zeng & Fan Li & Peng Ding, 2020. "Is being an only child harmful to psychological health?: Evidence from an instrumental variable analysis of China's One-Child Policy," Papers 2005.09130, arXiv.org, revised Jun 2020.
- Hyunseung Kang & Youjin Lee & T. Tony Cai & Dylan S. Small, 2022. "Two robust tools for inference about causal effects with invalid instruments," Biometrics, The International Biometric Society, vol. 78(1), pages 24-34, March.
- Yiqi Lin & Frank Windmeijer & Xinyuan Song & Qingliang Fan, 2022. "On the instrumental variable estimation with many weak and invalid instruments," Papers 2207.03035, arXiv.org, revised Dec 2023.
- Doko Tchatoka, Firmin Sabro, 2012.
"Specification Tests with Weak and Invalid Instruments,"
MPRA Paper
40185, University Library of Munich, Germany.
- Firmin Doko Tchatoka, 2014. "Specification Tests with Weak and Invalid Instruments," School of Economics and Public Policy Working Papers 2014-05, University of Adelaide, School of Economics and Public Policy.
- Doko Tchatoka, Firmin, 2012. "Specification tests with weak and invalid instruments," Working Papers 15063, University of Tasmania, Tasmanian School of Business and Economics, revised 26 Jun 2012.
- Sonia Laszlo, 2005. "Self-employment earnings and returns to education in rural Peru," Journal of Development Studies, Taylor & Francis Journals, vol. 41(7), pages 1247-1287.
- Timothy B. Armstrong & Michal Kolesár, 2021.
"Sensitivity analysis using approximate moment condition models,"
Quantitative Economics, Econometric Society, vol. 12(1), pages 77-108, January.
- Timothy B. Armstrong & Michal Koles'r, 2018. "Sensitivity Analysis using Approximate Moment Condition Models," Cowles Foundation Discussion Papers 2158, Cowles Foundation for Research in Economics, Yale University.
- Timothy B. Armstrong & Michal Kolesár, 2020. "Sensitivity Analysis using Approximate Moment Condition Models," Working Papers 2020-28, Princeton University. Economics Department..
- Timothy B. Armstrong & Michal Koles'ar, 2018. "Sensitivity Analysis using Approximate Moment Condition Models," Papers 1808.07387, arXiv.org, revised Jul 2020.
- Timothy B. Armstrong & Michal Koles'r, 2018. "Sensitivity Analysis using Approximate Moment Condition Models," Cowles Foundation Discussion Papers 2158R, Cowles Foundation for Research in Economics, Yale University, revised Feb 2019.
- Sophie van Huellen & Duo Qin, 2019.
"Compulsory Schooling and Returns to Education: A Re-Examination,"
Econometrics, MDPI, vol. 7(3), pages 1-20, September.
- Sophie van Huellen & Duo Qin, 2016. "Compulsory Schooling and the Returns to Education: A Re-examination," Working Papers 199, Department of Economics, SOAS University of London, UK.
- Iglesias Emma M., 2011. "Constrained k-class Estimators in the Presence of Weak Instruments," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(4), pages 1-13, September.
- Brigham Frandsen & Lars Lefgren & Emily Leslie, 2023.
"Judging Judge Fixed Effects,"
American Economic Review, American Economic Association, vol. 113(1), pages 253-277, January.
- Brigham R. Frandsen & Lars J. Lefgren & Emily C. Leslie, 2019. "Judging Judge Fixed Effects," NBER Working Papers 25528, National Bureau of Economic Research, Inc.
- Richard Ashley & Christopher Parmeter, 2015. "Sensitivity analysis for inference in 2SLS/GMM estimation with possibly flawed instruments," Empirical Economics, Springer, vol. 49(4), pages 1153-1171, December.
- Anna Aizer & Joseph J. Doyle, 2015.
"Juvenile Incarceration, Human Capital, and Future Crime: Evidence from Randomly Assigned Judges,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(2), pages 759-803.
- Anna Aizer & Joseph J. Doyle, Jr., 2013. "Juvenile Incarceration, Human Capital and Future Crime: Evidence from Randomly-Assigned Judges," NBER Working Papers 19102, National Bureau of Economic Research, Inc.
- Mertens, Matthias & Müller, Steffen & Neuschäffer, Georg, 2022. "Identifying rent-sharing using firms' energy input mix," IWH Discussion Papers 19/2022, Halle Institute for Economic Research (IWH).
- Kirill Borusyak & Peter Hull & Xavier Jaravel, 2022.
"Quasi-Experimental Shift-Share Research Designs,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 181-213.
- Kirill Borusyak & Peter Hull & Xavier Jaravel, 2018. "Quasi-Experimental Shift-Share Research Designs," NBER Working Papers 24997, National Bureau of Economic Research, Inc.
- Kirill Borusyak & Peter Hull & Xavier Jaravel, 2018. "Quasi-Experimental Shift-Share Research Designs," Papers 1806.01221, arXiv.org, revised Dec 2020.
- Borusyak, Kirill & Hull, Peter & Jaravel, Xavier, 2022. "Quasi-experimental shift-share research designs," LSE Research Online Documents on Economics 117788, London School of Economics and Political Science, LSE Library.
- Borusyak, Kirill & Hull, Peter & Jaravel, Xavier, 2020. "Quasi-Experimental Shift-Share Research Designs," CEPR Discussion Papers 15212, C.E.P.R. Discussion Papers.
- Rietveld, Cornelius A. & Webbink, Dinand, 2016. "On the genetic bias of the quarter of birth instrument," Economics & Human Biology, Elsevier, vol. 21(C), pages 137-146.
- Bun, Maurice J.G. & Windmeijer, Frank, 2011. "A comparison of bias approximations for the two-stage least squares (2SLS) estimator," Economics Letters, Elsevier, vol. 113(1), pages 76-79, October.
More about this item
Keywords
Instrumental variable; Causal inference; Sensitivity analysis; Unmeasured confounding;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:spr:stabio:v:13:y:2021:i:1:d:10.1007_s12561-020-09280-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.