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Robust Inference Using Inverse Probability Weighting [PDF]
Journal of the American Statistical Association, 2019 Inverse probability weighting (IPW) is widely used in empirical work in economics and other disciplines. As Gaussian approximations perform poorly in the presence of “small denominators,” trimming is routinely employed as a regularization strategy. However, ad hoc trimming of the observations renders usual inference procedures invalid for the target ...
Ma, Xinwei, Wang, Jingshen
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Probability weighting function in experiment using graphically represented probability information
Journal of Human Environmental Studies, 2014 A psychological experiment was conducted to estimate probability weighting function whose stimuli were graphically presented. We conducted a modified experiment of Wu and Gonzalez (1996) study by using graphical representation of lotteries.
Hajime Murakami +4 more
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Curvature of the Probability Weighting Function [PDF]
Management Science, 1996 When individuals choose among risky alternatives, the psychological weight attached to an outcome may not correspond to the probability of that outcome. In rank-dependent utility theories, including prospect theory, the probability weighting function permits probabilities to be weighted nonlinearly. Previous empirical studies of the weighting function
George Wu, Richard Gonzalez
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Frontiers in Psychology, 2019 Our understanding of the decisions made under scenarios where both descriptive and experience-based information are available is very limited. Underweighting of small probabilities was observed in the gain domain when both description and experience were
Shruti Goyal, Krishna P. Miyapuram
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A Novel Probability Weighting Function Model with Empirical Studies
International Journal of Computational Intelligence Systems, 2020 Probability weighting is one of the key components of the modern risky decision-making theories, an effective probability weight function can more accurately describe the decision-makers' subjective response to the event probability.
Sheng Wu +4 more
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Early life exposure to greenness and executive function and behavior: An application of inverse probability weighting of marginal structural models. [PDF]
Environ Pollut, 2021 Jimenez MP +7 more
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Frontiers in Psychology, 2016 Cognitive determinants of probabilistic inference were examined using hierarchical Bayesian modelling techniques. A classic urn-ball paradigm served as experimental strategy, involving a factorial two (prior probabilities) by two (likelihoods) design ...
Moritz eBoos +3 more
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A Testing Method of Probability Weighting Functions From an Axiomatic Perspective
Frontiers in Applied Mathematics and Statistics, 2018 This study presents a testing approach to examine various models of probability weighting functions that are considered nonlinear functions of probability in behavioral decision theory, such as prospect theory.
Kazuhisa Takemura +2 more
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Fitness-maximizers employ pessimistic probability weighting for decisions under risk
Evolutionary Human Sciences, 2020 The standard theory of rationality posits that agents order preferences according to average utilities associated with different choices. Expected utility theory has repeatedly failed as a predictive theory, as reflected in a growing literature in ...
Michael Holton Price +1 more
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Kernel Weighting for blending probability and non-probability survey samples
SORT, 2023 In this paper we review some methods proposed in the literature for combining a nonprobability and a probability sample with the purpose of obtaining an estimator with a smaller bias and standard error than the estimators that can be obtained using only the probability sample. We propose a new methodology based on the kernel weighting method.
Rueda, María del Mar +4 more
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