Results 11 to 20 of about 4,053,455 (295)
The Modified Instrumental Variable (MIV) for Endogenous Instrumental Variables
Journal of Statistical Theory and Applications (JSTA)This article introduces an estimator aimed at reducing the inconsistency of instrumental variable estimates when the instrument is not fully exogenous.
Nicolas Ronderos Pulido
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British Journal of Neurosurgery, 2018 Instrumental variables.
Gracious M. Diiro (5324444) +4 more
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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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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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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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Instrumental Weighted Variables
Austrian Journal of Statistics, 2016 A motivation for the classical Instrumental Variables and the reasons for here-proposed way of their robustification are discussed. The conditions for the ?n-consistency, the existence of Bahadur representation and the asymptotic normality of the ...
Jan Ámos Víšek
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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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Fertility among women in Ghana: Do child mortality and education matter?
Scientific African, 2022 Background: Child mortality and fertility are crucial in determining the growth of a country's population and have implications for public health and family planning interventions.
William Angko +2 more
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