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Testability of Instrumental Variables in Linear Non-Gaussian Acyclic Causal Models [PDF]
Entropy, 2022 This paper investigates the problem of selecting instrumental variables relative to a target causal influence X→Y from observational data generated by linear non-Gaussian acyclic causal models in the presence of unmeasured confounders.
Feng Xie +5 more
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Latent class instrumental variables and the monotonicity assumption [PDF]
Emerging Themes in Epidemiology, 2020 A key aspect of the article by Lousdal on instrumental variables was a discussion of the monotonicity assumption. However, there was no mention of the history of the development of this assumption.
Stuart G. Baker
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Cointegration Tests Using Instrumental Variables
International Journal of Empirical Economics, 2022 This paper proposes new cointegration tests based on instrumental variable (IV) estimation. An important property of our tests is that the asymptotic distribution remains standard normal (or Chi-square) regardless of the number of regressors, differing ...
Junsoo Lee, Ali Yucel
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REndo: Internal Instrumental Variables to Address Endogeneity
Journal of Statistical Software, 2023 Endogeneity is a common problem in any causal analysis. It arises when the independence assumption between an explanatory variable and the error in a statistical model is violated.
Raluca Gui +3 more
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Algorithm for adaptive observation based on method of instrumental variables [PDF]
E3S Web of Conferences, 2023 When the input signal and the output value of the object of control cannot be measured accurately, the state vector is estimated. The instrumental variables (IVs) method is a commonly used parameter estimation method [1-10].
Nikolov Nikola +5 more
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Incarceration and mortality in the United States
SSM: Population Health, 2021 The ongoing COVID-19 pandemic has spotlighted the role of America's overcrowded prisons as vectors of ill health, but robust analyses of the degree to which high rates of incarceration impact population-level health outcomes remain scarce. In this paper,
Elias Nosrati +5 more
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Causal inference with imperfect instrumental variables
Journal of Causal Inference, 2022 Instrumental variables allow for quantification of cause and effect relationships even in the absence of interventions. To achieve this, a number of causal assumptions must be met, the most important of which is the independence assumption, which states ...
Miklin Nikolai +3 more
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Identification of the separately excited DC motor with extended instrumental variables
Вестник Самарского государственного технического университета. Серия: Технические науки, 2022 The problem of identifying the parameters of a DC motor is considered. The presence of measurement errors of currents and voltages leads to errors in both input and output signals. Existing methods for identifying the parameters of a DC motor do not take
Dmitry V. Ivanov +2 more
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Administrative Sciences, 2023 (1) Background: Previous studies have shown that absenteeism is negatively associated with employee-level performance, but we do not know how exactly absenteeism affects enterprise-level performance.
Jarle Aarstad, Olav Andreas Kvitastein
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Estimating the Capital Asset Pricing Model with Many Instruments: A Bayesian Shrinkage Approach
Mathematics, 2023 This paper introduces an instrumental variable Bayesian shrinkage approach specifically designed for estimating the capital asset pricing model (CAPM) while utilizing a large number of instruments.
Cássio Roberto de Andrade Alves +1 more
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