How strong is strong enough? Strengthening instruments through matching and weak instrument tests
From MaRDI portal
Publication:312976
DOI10.1214/16-AOAS932zbMath1398.62381OpenAlexW2502739708MaRDI QIDQ312976
Publication date: 9 September 2016
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.aoas/1469199906
Related Items
Biased Encouragements and Heterogeneous Effects in an Instrumental Variable Study of Emergency General Surgical Outcomes ⋮ Nonparametric instrument model averaging ⋮ The risk of maternal complications after Cesarean delivery: near-far matching for instrumental variables study designs with large observational datasets ⋮ Using Approximation Algorithms to Build Evidence Factors and Related Designs for Observational Studies ⋮ Optimal Tradeoffs in Matched Designs Comparing US-Trained and Internationally Trained Surgeons ⋮ Reinforced Designs: Multiple Instruments Plus Control Groups as Evidence Factors in an Observational Study of the Effectiveness of Catholic Schools
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- On the application of probability theory to agricultural experiments. Essay on principles. Section 9. Translated from the Polish and edited by D. M. Dąbrowska and T. P. Speed
- Covariance adjustment in radomized experiments and observational studies
- Stronger instruments via integer programming in an observational study of late preterm birth outcomes
- Isolation in the construction of natural experiments
- War and Wages
- Identification of Causal Effects Using Instrumental Variables
- Robust, Accurate Confidence Intervals with a Weak Instrument: Quarter of Birth and Education
- What Do Randomized Studies of Housing Mobility Demonstrate?
- Sensitivity Analysis for Instrumental Variables Regression With Overidentifying Restrictions
- Using Quantile Averages in Matched Observational Studies
- Identification and Estimation of Local Average Treatment Effects
- Instrumental Variables Regression with Weak Instruments
- Matching With Doses in an Observational Study of a Media Campaign Against Drug Abuse
- Assessing the Sensitivity of Regression Results to Unmeasured Confounders in Observational Studies
- Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature Infants
- Consistent Estimation with a Large Number of Weak Instruments
- Sensitivity Analysis for m‐Estimates, Tests, and Confidence Intervals in Matched Observational Studies
- Random Effects Estimators with many Instrumental Variables
- Estimates of Location Based on Rank Tests
- The Fitting of Straight Lines if Both Variables are Subject to Error
- Design of observational studies
- Observational studies.