4 research outputs found

    Pooling or Fooling? An Experiment on Signaling

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    This paper reports the evidence from an experiment which takes advantage of the rich informational structure of the so-called Chinos Game, a traditional parlour game played in many countries. In the experiment subjects receive a binary private signal and have to guess the sum of these signals. We compare two constant-sum versions of the Chinos Game. In one version, which we call Preemption Scenario, the first player who guesses right wins the prize. In the alternative version, called the Copycat Scenario, the last player who guesses right wins the prize. While it is straightforward to see that the Preemption Scenario has a unique and fully revealing equilibrium, in all the equilibria of the Copycat Scenario first movers optimally hide their private information. However, our experimental evidence shows that subjects \u201clie\u201d in the Copycat Scenario (i.e., systematically distort behavior relative to equilibrium play) and they are successful at doing it, despite that benefits from lying are diminishing as the game proceeds

    Coordination in Evolving Networks with Endogenous Decay

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    This paper studies an evolutionary model of network formation with endogenous decay, in which agents benefit both from direct and indirect connections. In addition to forming (costly) links, agents choose actions for a coordination game that determines the level of decay of each link. We address the issues of coordination (long-run equilibrium selection) and network formation by means of stochastic stability techniques. We find that the long-run behavior of the system depends on a fine interplay of the link cost and the trade-off between efficiency and risk-dominance

    Error cascades in observational learning: An experiment on the Chinos game

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    The paper reports an experimental study based on a variant of the popular Chinos game, which is used as a simple but paradigmatic instance of observational learning. There are three players, arranged in sequence, each of which wins a \ufb01xed price if she manages to guess the total number of coins lying in everybody\u2019s hands. Our evidence shows that, despite the remarkable frequency of equilibrium outcomes, deviations from optimal play are also signi\ufb01cant. And when such deviations occur, we \ufb01nd that, for any given player position, the probability of a mistake is increasing in the probability of a mistake of her predecessors. This is what we call an error cascade, which we measure by evaluating the (heterogeneous) Quantal Response Equilibrium which better suits our data. We also check the robustness of our \ufb01ndings when we allow for belief heterogeneity by applying K\ufcbler and Weizs\ue4cker\u2019s (2004) cognitive frame of limited depth of reasoning

    Guidelines for the use and interpretation of assays for monitoring autophagy

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    In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. A key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process vs. those that measure flux through the autophagy pathway (i.e., the complete process); thus, a block in macroautophagy that results in autophagosome accumulation needs to be differentiated from stimuli that result in increased autophagic activity, defined as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (in most higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular autophagy assays, we hope to encourage technical innovation in the field
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