Results 11 to 20 of about 151,292 (252)

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, Ilya L. Sandler, Anna N. Diligenskaya   +2 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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Effect of Long-Term Absenteeism on the Operating Revenues, Productivity, and Employment of Enterprises

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
doaj   +1 more source

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, Dongwoo Kim, Daniel Wilhelm   +2 more
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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, Márcio Laurini   +1 more
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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 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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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, Zachrisson, Henrik Daae   +1 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, Smith, GD, Lawlor, DA, Propper, C, Windmeijer, F   +4 more
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Groundwater Usage and Strategic Complements: Part I (Instrumental Variables)

Games, 2022
We test whether the decisions in a common-pool resource game are better modeled game-theoretically as strategic substitutes or complements using an individual-level dataset of groundwater usage that accounts for 3% of US irrigated agriculture. Based on a
Caleb M. Koch, Heinrich H. Nax
doaj   +1 more source