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揭示非法与地下经济:以黑手党敲诈勒索为例

Uncovering illegal and underground economies: The case of mafia extortion racketeering
Journal of Public Economics · 2023 · Lavinia Piemontese

中文摘要

我提出了一种量化隐蔽经济之经济成本的新方法,并将其应用于意大利北部黑手党敲诈勒索这一案例。为量化数据中无法观测的勒索率,我首先表明敲诈勒索与资源错配相关。随后,我实施结构估计,将被界定为黑手党渗透市场中的可观测资源错配,与一个模型预测的资源错配进行匹配;该模型的参数使用非黑手党市场的数据估计,或依据文献校准。结果表明,对于遭受勒索的企业,黑手党从中勒索的产出份额占企业层面产出的0.5%至5%,这意味着总增加值损失为0.6%至8%。

Abstract

I propose a new approach to quantify the economic cost of hidden economies and apply it to the case of mafia extortion in Northern Italy. To quantify the extortion rate, unobserved in the data, I first show that extortion racketeering is linked to resource misallocation. Then, I implement a structural estimation based on matching the observed misallocation in markets defined as mafia-infiltrated, with that predicted from a model whose parameters are estimated using data on non-mafia markets or calibrated from the literature. The results suggest that the share of output that the mafia extorts from firms ranges between 0.5 and 5 percent of firm-level output for those firms that are subject to extortion, with an implied loss between 0.6 and 8 percent of aggregate value added.
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