Results 11 to 20 of about 152,051 (253)
Instrumental variable analysis [PDF]
Nephrology Dialysis Transplantation, 2012 The main advantage of the randomized controlled trial (RCT) is the random assignment of treatment that prevents selection by prognosis. Nevertheless, only few RCTs can be performed given their high cost and the difficulties in conducting such studies.
Stel, V. S. +3 more
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Instrumental Variables Regression with Weak Instruments [PDF]
Econometrica, 1997 Summary: This paper develops asymptotic distribution theory for single-equation instrumental variables regression when the partial correlations between the instruments and the endogenous variables are weak, here modeled as local to zero. Asymptotic representations are provided for various statistics, including two-stage least squares (TSLS) and limited
Douglas Staiger, James H. Stock
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Nonparametric instrumental variable estimation [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2018 In this article, we introduce the commands npiv and npivcv, which implement nonparametric instrumental-variable (NPIV) estimation methods without and with a cross-validated choice of tuning parameters, respectively. Both commands can impose the constraint that the resulting estimated function is monotone.
Denis Chetverikov +2 more
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Instrumental Variable Analysis in Atmospheric and Aerosol Chemistry
Frontiers in Environmental Science, 2020 Due to the complex nature of ambient aerosols arising from the presence of myriads of organic compounds, the chemical reactivity of a particular compound with oxidant/s are studied through chamber experiments under controlled laboratory conditions ...
Prashant Rajput, Tarun Gupta
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Generalized Instrumental Variable Models [PDF]
Econometrica, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andrew Chesher, Adam Rosen
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A Gentle Introduction to Instrumental Variables
Journal of Clinical Epidemiology, 2022 Instrumental variables (IV) is a central strategy for identifying causal effects in absence of randomized experiments. Clinicians and epidemiologists may find the intuition of IV easy to grasp by comparison to randomized experiments. Randomization is an ideal IV because treatment is assigned randomly, and hence unaffected by everything else. IV methods
Widding-Havneraas, Tarjei +1 more
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A Robust Instrumental-Variables Estimator [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2012 The classical instrumental-variables estimator is extremely sensitive to the presence of outliers in the sample. This is a concern because outliers can strongly distort the estimated effect of a given regressor on the dependent variable. Although outlier diagnostics exist, they frequently fail to detect atypical observations because they are themselves
Desbordes, Rodolphe, Verardi, Vincenzo
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Instrumental variable estimation of truncated local average treatment effects.
PLoS ONE, 2021 Instrumental variable (IV) analysis is used to address unmeasured confounding when comparing two nonrandomized treatment groups. The local average treatment effect (LATE) is a causal estimand that can be identified by an IV.
Byeong Yeob Choi
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Genetic markers as instrumental variables [PDF]
Journal of Health Economics, 2016 The use of genetic markers as instrumental variables (IV) is receiving increasing attention from economists, statisticians, epidemiologists and social scientists. Although IV is commonly used in economics, the appropriate conditions for the use of genetic variants as instruments have not been well defined. The increasing availability of biomedical data,
von Hinke, S +4 more
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The impact of greenspace on air pollution: Empirical evidence from China
Ecological Indicators, 2023 Can green vegetation absorb air pollutants and control regional air pollution? The existing research has not reached a consistent conclusion on this issue.
Hongshan Ai, Xi Zhang, Zhengqing Zhou
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