Results 21 to 30 of about 152,051 (253)

Local instrumental variables [PDF]

open access: yes, 2001
This paper unites the treatment effect literature and the latent variable literature. The economic questions answered by the commonly used treatment effect parameters are considered. We demonstrate how the marginal treatment effect parameter can be used in a latent variable framework to generate the average treatment effect, the effect of treatment on
James J. Heckman, Edward J. Vytlacil
openaire   +1 more source

A Variable Regularized Recursive Subspace Model Identification Algorithm With Extended Instrumental Variable and Variable Forgetting Factor

open access: yesIEEE Access, 2020
This paper proposes a new smoothly clipped absolute deviation (SCAD) regularized recursive subspace model identification algorithm with square root(SR) extended instrumental variable (EIV) and locally optimal variable forgetting factor (LOFF).
Jian-Qiang Lin   +2 more
doaj   +1 more source

Generalized Instrumental Variables

open access: yesCoRR, 2002
This paper concerns the assessment of direct causal effects from a combination of: (i) non-experimental data, and (ii) qualitative domain knowledge. Domain knowledge is encoded in the form of a directed acyclic graph (DAG), in which all interactions are assumed linear, and some variables are presumed to be unobserved. We provide a generalization of the
Brito, Carlos, Pearl, Judea
openaire   +4 more sources

Simultaneous Maximum Likelihood Estimation for Piecewise Linear Instrumental Variable Models

open access: yesEntropy, 2022
Analysis of instrumental variables is an effective approach to dealing with endogenous variables and unmeasured confounding issue in causal inference. We propose using the piecewise linear model to fit the relationship between the continuous instrumental
Shuo Shuo Liu, Yeying Zhu
doaj   +1 more source

REndo: Internal Instrumental Variables to Address Endogeneity

open access: yesJournal 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
doaj   +1 more source

Some Useful Matrix Derivatives with Statistical Applications in Econometrics [PDF]

open access: yesThe Egyptian Statistical Journal, 2006
In this paper we present some useful results in matrix calculus which will be used in econometrics. As an application of these results an iterative instrumental variable estimator (IVE) interpretation will be introduced and given for the maximum ...
Sayed El-Sayed
doaj   +1 more source

Effect of hospital assignment on mortality for AMI patients

open access: yesBMC Health Services Research, 2023
Background International guidelines recommend percutaneous coronary intervention (PCI) to treat acute myocardial infarction (AMI) if PCI can be performed within two hours.
Mari Grøsland   +2 more
doaj   +1 more source

On The Interpretation of Instrumental Variables in the Presence of Specification Errors: A Causal Comment

open access: yesEconometrics, 2017
Swamy et al. (2015) argue that valid instruments cannot exist when a structural model is misspecified. This note shows that this is not true in general. In simple examples valid instruments can exist and can help to estimate parameters of interest.
Burkhard Raunig
doaj   +1 more source

Associations between gut microbiota and sleep: a two-sample, bidirectional Mendelian randomization study

open access: yesFrontiers in Microbiology, 2023
IntroductionPrevious research has reported that the gut microbiota performs an essential role in sleep through the microbiome–gut–brain axis. However, the causal association between gut microbiota and sleep remains undetermined.MethodsWe performed a two ...
Jun Wu   +9 more
doaj   +1 more source

Instrumental variables, local instrumental variables and control functions [PDF]

open access: yes
We consider the identification of the average treatment effect in models with continuous endogenous variables whose impact is heterogeneous. We derive a testable restriction that allows us to assess the degree of unobserved heterogeneity. Our analysis uses assumptions relating to the Local Instrumental Variables (LIV) approach and the control function ...
Jean-Pierre Florens   +3 more
openaire   +6 more sources

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