Results 21 to 30 of about 4,053,455 (295)
Local instrumental variables [PDF]
, 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
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Latent class instrumental variables and the monotonicity assumption
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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Does aid fuel corruption? New evidence from a cross-country analysis
Development Studies Research, 2021 This study estimates the effect of foreign aid on corruption using a Two-Step Least Squares method. We address endogeneity using instrumental variables that capture geographical and cultural proximities between donor and recipient countries.
Albian Krasniqi, Venera Demukaj
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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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Uniform confidence bands for functions estimated nonparametrically with instrumental variables [PDF]
, 2009 This paper is concerned with developing uniform confidence bands for functions estimated nonparametrically with instrumental variables. We show that a sieve nonparametric instrumental variables estimator is pointwise asymptotically normally distributed ...
Joel L. Horowitz +5 more
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Brazilian Journal of Political Economy, 2012 Estimating the return to education the Brazilian legislation of education as an instrument considering. This paper aims to estimate the impact of education on wages in Brazil.
Wladimir Machado Teixeira +1 more
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Generalized Instrumental Variables
CoRR, 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
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Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality [PDF]
, 2009 This paper extends the method of local instrumental variables developed by Heckman and Vytlacil [Heckman, J. and Vytlacil, E., 1999. Local instrumental variable and latent variable models for identifying and bounding treatment effects. In: Proceedings of
Carneiro, Pedro +3 more
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Determinantal Generalizations of Instrumental Variables
Journal of Causal Inference, 2018 Linear structural equation models relate the components of a random vector using linear interdependencies and Gaussian noise. Each such model can be naturally associated with a mixed graph whose vertices correspond to the components of the random vector.
Weihs Luca +8 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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