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An introduction to instrumental variables for epidemiologists. [PDF]
International Journal of Epidemiology, 2000 Instrumental-variable (IV) methods were invented over 70 years ago, but remain uncommon in epidemiology. Over the past decade or so, non-parametric versions of IV methods have appeared that connect IV methods to causal and measurement-error models important in epidemiological applications.
Sander Greenland
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Epidemiology, 2006
To correct for confounding, the method of instrumental variables (IV) has been proposed. Its use in medical literature is still rather limited because of unfamiliarity or inapplicability. By introducing the method in a nontechnical way, we show that IV in a linear model is quite easy to understand and easy to apply once an appropriate instrumental ...
Martens, E.P. +4 more
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To correct for confounding, the method of instrumental variables (IV) has been proposed. Its use in medical literature is still rather limited because of unfamiliarity or inapplicability. By introducing the method in a nontechnical way, we show that IV in a linear model is quite easy to understand and easy to apply once an appropriate instrumental ...
Martens, E.P. +4 more
+6 more sources
Abstract This chapter covers the instrumental variables research design. This method estimates the causal effects of an intervention by exploiting randomness in the world that influences whether someone is exposed to a phenomenon of interest.
Adam Chilton, Kyle Rozema
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Adam Chilton, Kyle Rozema
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The Bias of Instrumental Variable Estimators
Econometrica, 1992zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Instrumental and "Quasi-Instrumental" Variables
American Journal of Political Science, 1991The trade-off between the efficiency of an instrumental variable and its exogeneity is widely recognized but little understood. This paper specifies the terms of that trade-off by analyzing the asymptotic mean squared errors associated with the instrumental variables estimator when the instrument may not be perfectly exogenous.
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1985
Recent advances in establishing the nature and scope of estimators in econometrics have shed more light on the importance of instrumental variables. In this book, the authors argue that such methods may be regarded as a strong organizing principle for a wide variety of estimation and hypothesis testing problems in econometrics and statistics.
Roger J. Bowden, Darrell A. Turkington
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Recent advances in establishing the nature and scope of estimators in econometrics have shed more light on the importance of instrumental variables. In this book, the authors argue that such methods may be regarded as a strong organizing principle for a wide variety of estimation and hypothesis testing problems in econometrics and statistics.
Roger J. Bowden, Darrell A. Turkington
openaire +1 more source