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作者：Fudenberg, Drew; Levine, David K.
作者单位：Harvard University; Washington University (WUSTL)
摘要：The standard dual-self model of self-control, with a shorter-run self who cares only about the current period, is excessively sensitive to the timing of decisions and to the interpolation of additional no-action time periods in between the dates when decisions are made. We show that when the shorter-run self is not completely myopic, this excess sensitivity goes away. To accommodate the combination of short time periods and convex costs of self-control, we introduce a cognitive resource variab...
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作者：de Paula, Aureo; Tang, Xun
作者单位：University of London; University College London; University of London; London School Economics & Political Science; University of Pennsylvania
摘要：This paper studies the inference of interaction effects in discrete simultaneous games with incomplete information. We propose a test for the signs of state-dependent interaction effects that does not require parametric specifications of players' payoffs, the distributions of their private signals, or the equilibrium selection mechanism. The test relies on the commonly invoked assumption that players' private signals are independent conditional on observed states. The procedure is valid in (bu...
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作者：Bouton, Laurent; Castanheira, Micael
作者单位：Boston University; Universite Libre de Bruxelles
摘要：This paper shows that information imperfections and common values can solve coordination problems in multicandidate elections. We analyze an election in which (i)similar to the majority is divided between two alternatives and (ii)similar to the minority backs a third alternative, which the majority views as strictly inferior. Standard analyses assume voters have a fixed preference ordering over candidates. Coordination problems cannot be overcome in such a case, and it is possible that inferio...
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作者：Mikusheva, Anna
作者单位：Massachusetts Institute of Technology (MIT)
摘要：This paper examines the problem of testing and confidence set construction for one-dimensional functions of the coefficients in autoregressive (AR(p)) models with potentially persistent time series. The primary example concerns inference on impulse responses. A new asymptotic framework is suggested and some new theoretical properties of known procedures are demonstrated. I show that the likelihood ratio (LR) and LR +/- statistics for a linear hypothesis in an AR(p) can be uniformly approximate...
