Results 31 to 40 of about 5,857,634 (333)
Journal of Translational Medicine, 2022 Ophthalmic epidemiology is concerned with the prevalence, distribution and other factors relating to human eye disease. While observational studies cannot avoid confounding factors from interventions, human eye composition and structure are unique, thus,
Jiaxin Li +7 more
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Estimation of the Heteroskedastic Canonical Contagion Model with Instrumental Variables. [PDF]
PLoS ONE, 2016 Knowledge of contagion among economies is a relevant issue in economics. The canonical model of contagion is an alternative in this case. Given the existence of endogenous variables in the model, instrumental variables can be used to decrease the bias of
André L P Ribeiro, Luiz K Hotta
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Unbiased Instrumental Variables Estimation Under Known First-Stage Sign [PDF]
, 2015 We derive mean-unbiased estimators for the structural parameter in instrumental variables models with a single endogenous regressor where the sign of one or more first stage coefficients is known.
Andrews, Isaiah, Armstrong, Timothy B.
core +8 more sources
Causal mediation analysis in instrumental-variables regressions
, 2020 In this article, we describe the use of ivmediate, a new command to estimate causal mediation effects in instrumental-variables settings using the framework developed by Dippel et al. (2020, unpublished manuscript).
C. Dippel +2 more
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Energy Reports, 2020 This study examined the impact of credit received on rural household clean cooking energy consumption. The study pays more attention to clean energies, such as liquefied petroleum gas (LPG) and kerosene. Due to the endogenous issue of credit, we employed
Martinson Ankrah Twumasi +4 more
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Heart Rate Variability Control Using a Biofeedback and Wearable System
Sensors, 2022 Heart rate variability is an important physiological parameter in medicine. This parameter is used as an indicator of physiological and psychological well-being and even of certain pathologies.
Eduardo Viera +2 more
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Causal Transmission in Reduced-Form Models
Econometrics, 2022 We propose a method to explore the causal transmission of an intervention through two endogenous variables of interest. We refer to the intervention as a catalyst variable.
Vassilios Bazinas, Bent Nielsen
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The Causal Interpretation of Two-Stage Least Squares with Multiple Instrumental Variables
The American Economic Review, 2019 Empirical researchers often combine multiple instrumental variables (IVs) for a single treatment using two-stage least squares (2SLS). When treatment effects are heterogeneous, a common justification for including multiple IVs is that the 2SLS estimand ...
M. Mogstad +2 more
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Sichuan jingshen weisheng, 2022 The purpose of this paper was to introduce the methods of identifying causal effects based on instrumental variables， distinguishing different models with data， and using SAS software to realize calculation.
Hu Chunyan, Hu Liangping
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On the Estimation of Separable Demand Models
Journal of Agricultural and Resource Economics, 1993 Alternative stochastic specification of conditional demand models are considered. The results of LaFrance concerning the inconsistency of least squares are supported, but the class of models that allow standard instrumental variable estimation is ...
David L. Edgerton
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