Results 21 to 30 of about 30,695 (301)
Optimal weighting for estimating generalized average treatment effects
Journal of Causal Inference, 2022 In causal inference, a variety of causal effect estimands have been studied, including the sample, uncensored, target, conditional, optimal subpopulation, and optimal weighted average treatment effects.
Kallus Nathan, Santacatterina Michele
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Inference for Iterated GMM Under Misspecification [PDF]
, 2021 This paper develops inference methods for the iterated overidentified Generalized Method of Moments (GMM) estimator. We provide conditions for the existence of the iterated estimator and an asymptotic distribution theory, which allows for mild ...
Hansen, BE +5 more
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Entropy, 2020 We consider selection of random predictors for a high-dimensional regression problem with a binary response for a general loss function. An important special case is when the binary model is semi-parametric and the response function is misspecified under
Mariusz Kubkowski, Jan Mielniczuk
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Model Misspecification as the Causes of Flypaper Effect
Proceedings, 2023 The aim of this paper is to investigate the relationship between the Fly-paper effect (FPE) and possible errors in the specification of econometric models used in the empirical analysis of FPE.
Siniša Mali
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, 2022 This paper studies the implication of a fraction of the population not responding to the instrument when selecting into treatment. We show that, in general, the presence of non-responders biases the Marginal Treatment Effect (MTE) curve and many of its functionals. Yet, we show that, when the propensity score is fully supported on the unit interval, it
Martínez-Iriarte, Julián +1 more
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Statistical Modelling, 2008 A common problem in statistical modelling is to distinguish between finite mixture distribution and a homogeneous non-mixture distribution. Finite mixture models are widely used in practice and often mixtures of normal densities are indistinguishable from homogenous non-normal densities.
Tarpey, Thaddeus +2 more
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Adapting to Misspecification in Contextual Bandits
CoRR, 2021 Appeared at NeurIPS ...
Dylan J. Foster +3 more
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Optimal Designs’ Robustness to Model Misspecification
, 2021 Simulations considering model misspecification at the design stage (Table 2 in the Manuscript)
Sarah Lotspeich (11426089)
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Robust control and model misspecification [PDF]
Journal of Economic Theory, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lars Peter Hansen +3 more
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Model Misspecification in Statistical Analysis [PDF]
, 2017 In my talk, I will discuss two important problems related with model misspecification. How do we provide powerful tests for checking misspecification in hypothesized models?
Zhou, Qian (Michelle)
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