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| DOI | 10.1016/J.GEB.2020.03.003 | ||||
| Año | 2020 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
This paper studies how agents choose to be vague in their proposals in a delegation environment. Two agents compete for the approval of a decision maker to implement a multidimensional action. Based on their knowledge of the consequences of actions, agents propose future actions but can be vague about any dimension. The decision maker, uncertain about the consequences of actions, chooses one agent to act. I show that vagueness on the dimension where one stands closer to the decision maker than his opponent preserves such an advantage, while preciseness undermines it. Vagueness therefore tends to occur on agents' advantageous dimensions. (C) 2020 Elsevier Inc. All rights reserved.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Zhang, Qiaoxi | - |
Universidad de Chile - Chile
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| Fuente |
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| Conicyt-Fondecyt |
| Institute for Research in Market Imperfections and Public Policy |
| CONICYT-FONDECYT postdoctoral award |
| Dalia Yadegar |
| Agradecimiento |
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| I acknowledge financial support from the Institute for Research in Market Imperfections and Public Policy (ICM IS130002) and CONICYT-FONDECYT postdoctoral award (3170783). I am extremely grateful to my committee members Federico Echenique, Leeat Yariv, and Marina Agranov for their wisdom, patience, and encouragement. I also thank the advising editor and two referees for pushing the paper in directions which ultimately prove to be fruitful. In addition, I thank Federico Echenique for inspiration for this paper, Leeat Yariv for giving me the benefit of the doubt, and Marina Agranov for detailed help with the execution. Conversations with Simon Dunne and Rahul Bhui at the early stages of the paper helped me identify essential ideas. Advice from Dalia Yadegar, Lucas Nunez, and Liam Clegg greatly improved the writing. For varied useful feedback too hard to characterize here, I thank Sergio Montero, Gerelt Tserenjigmid, Alex Hirsch, Amanda Friedenberg, Thomas Palfrey, Euncheol Shin, Marcelo Fernandez, Jean-Laurent Rosenthal, Joel Sobel, Navin Kartik, Juan Escobar, and seminar participants. |
| I acknowledge financial support from the Institute for Research in Market Imperfections and Public Policy (ICM IS130002) and CONICYT-FONDECYT postdoctoral award (3170783). I am extremely grateful to my committee members Federico Echenique, Leeat Yariv, and Marina Agranov for their wisdom, patience, and encouragement. I also thank the advising editor and two referees for pushing the paper in directions which ultimately prove to be fruitful. In addition, I thank Federico Echenique for inspiration for this paper, Leeat Yariv for giving me the benefit of the doubt, and Marina Agranov for detailed help with the execution. Conversations with Simon Dunne and Rahul Bhui at the early stages of the paper helped me identify essential ideas. Advice from Dalia Yadegar, Lucas N??ez, and Liam Clegg greatly improved the writing. For varied useful feedback too hard to characterize here, I thank Sergio Montero, Gerelt Tserenjigmid, Alex Hirsch, Amanda Friedenberg, Thomas Palfrey, Euncheol Shin, Marcelo Fern?ndez, Jean-Laurent Rosenthal, Joel Sobel, Navin Kartik, Juan Escobar, and seminar participants. |