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作者：Gul, Faruk; Pesendorfer, Wolfgang
作者单位：Princeton University
摘要：We introduce and analyze expected uncertain utility (EUU) theory. A prior and an interval utility characterize an EUU decision maker. The decision maker transforms each uncertain prospect into an interval-valued prospect that assigns an interval of prizes to each state. She then ranks prospects according to their expected interval utilities. We define uncertainty aversion for EUU, use the EUU model to address the Ellsberg Paradox and other ambiguity evidence, and relate EUU theory to existing ...
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作者：Abdulkadiroglu, Atila; Angrist, Joshua; Pathak, Parag
作者单位：Duke University; Massachusetts Institute of Technology (MIT)
摘要：Parents gauge school quality in part by the level of student achievement and a school's racial and socioeconomic mix. The importance of school characteristics in the housing market can be seen in the jump in house prices at school district boundaries where peer characteristics change. The question of whether schools with more attractive peers are really better in a value-added sense remains open, however. This paper uses a fuzzy regression-discontinuity design to evaluate the causal effects of...
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作者：Schennach, Susanne M.
作者单位：Brown University
摘要：This paper introduces a general method to convert a model defined by moment conditions that involve both observed and unobserved variables into equivalent moment conditions that involve only observable variables. This task can be accomplished without introducing infinite-dimensional nuisance parameters using a least favorable entropy-maximizing distribution. We demonstrate, through examples and simulations, that this approach covers a wide class of latent variables models, including some game-...
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作者：Shin, Hyun Song
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作者：Kaido, Hiroaki; Santos, Andres
作者单位：Boston University; University of California System; University of California San Diego
摘要：This paper examines the efficient estimation of partially identified models defined by moment inequalities that are convex in the parameter of interest. In such a setting, the identified set is itself convex and hence fully characterized by its support function. We provide conditions under which, despite being an infinite dimensional parameter, the support function admits n-consistent regular estimators. A semiparametric efficiency bound is then derived for its estimation, and it is shown that...
