An actor-model based bottom-up simulation — An experiment on Indian demonetisation initiative

Souvik Barat, V. Kulkarni, T. Clark, B. Barn
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引用次数: 11

Abstract

The dominance of cash-based transactions and relentless growth of a shadow economy triggered a fiscal intervention by the Indian government wherein 86% of the total cash in circulation was pulled out in a sudden announcement on November 8, 2016. This disruptive initiative resulted into prolonged cash shortages, financial inconvenience, and crisis situation to cross-section of population of the country. Overall, the initiative has faced a lot of criticism as being poorly thought through and inadequately planned. We claim that these emerging adverse conditions could have been anticipated well in advance with appropriate experimental setup. We further claim that the efficacy of possible courses of actions for managing critical situations, and probable consequences of the courses of action could have been estimated in a laboratory setting. This paper justifies our claims with an experimental setup relying on what-if analysis using an actor-based bottom up simulation approach.
基于行动者模型的自下而上模拟——印度废钞倡议的实验
现金交易的主导地位和影子经济的持续增长引发了印度政府的财政干预,其中86%的流通现金在2016年11月8日突然宣布撤出。这一破坏性的举措造成了长期的现金短缺、财政不便和该国各阶层人口的危机局面。总的来说,这项倡议面临着许多批评,因为考虑不周,计划不充分。我们声称,这些新出现的不利条件可以通过适当的实验设置提前预料到。我们进一步声称,管理危急情况的可能行动方案的效力以及行动方案的可能后果可以在实验室环境中进行估计。本文通过实验设置证明了我们的主张,该实验设置依赖于使用基于参与者的自下而上模拟方法的假设分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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