A response time approach to probability weighting function
نویسندگان
چکیده
منابع مشابه
ON THE STATIONARY PROBABILITY DENSITY FUNCTION OF BILINEAR TIME SERIES MODELS: A NUMERICAL APPROACH
In this paper, we show that the Chapman-Kolmogorov formula could be used as a recursive formula for computing the m-step-ahead conditional density of a Markov bilinear model. The stationary marginal probability density function of the model may be approximated by the m-step-ahead conditional density for sufficiently large m.
متن کاملPsychophysics of the probability weighting function
A probability weighting function w(p) for an objective probability p in decision under risk plays a pivotal role in Kahneman-Tversky’s prospect theory. Although recent studies in econophysics and neuroeconomics widely utilized probability weighting functions, psychophysical foundations of the probability weighting functions have been unknown. Notably, a behavioral economist Prelec (1998) axioma...
متن کاملNonresponse weighting adjustment using estimated response probability
To reduce nonresponse bias in sample surveys, a method of nonresponse weighting adjustment is often used which consists of multiplying the sampling weight of the respondent by the inverse of the estimated response probability. The authors examine the asymptotic properties of this estimator. They prove that it is generally more efficient than an estimator which uses the true response probability...
متن کاملon the stationary probability density function of bilinear time series models: a numerical approach
in this paper, we show that the chapman-kolmogorov formula could be used as a recursive formula for computing the m-step-ahead conditional density of a markov bilinear model. the stationary marginal probability density function of the model may be approximated by the m-step-ahead conditional density for sufficiently large m.
متن کاملA simple derivation of Prelec’s probability weighting function
Since Kahneman and Tversky (1979), it has been generally recognized that decision makers overweight low probabilities and underweight high probabilities. Of the several weighting functions that have been proposed, that of Prelec (1998) has the attractions that it is parsimonious, consistent with much of the available empirical evidence and has an axiomatic foundation. Luce (2001) provided a sim...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Proceedings of the Annual Convention of the Japanese Psychological Association
سال: 2018
ISSN: 2433-7609
DOI: 10.4992/pacjpa.82.0_2ev-062