The Black Market for Beijing License Plates

Øystein Daljord, Mandy Hu, G. Pouliot, Junji Xiao
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引用次数: 6

Abstract

Black markets can reduce the effects of distortionary regulations by reallocating scarce resources towards those who value them the most. The illegal nature of black markets however creates transaction costs that reduce the gains from trade. We take a partial identification approach to infer gains from trade and transaction costs in the black market for Beijing car license plates which emerged following their recent rationing. We use optimal transport methods to non-parametrically estimate a lower bound on the volume of unobserved black market trade under weak assumptions using comprehensive car sales data. We find that at least 11% of the quota of license plates is illegally traded. We next infer gains from trade and transaction costs and tighten the bounds on the volume of trade under further assumptions on black market transactions. The inferred size of the transaction costs suggests severe market frictions: between 61% and 82% of the realized gains from trade are lost to transaction costs, while between 7% and 28% of the potential gains from trade are realized in the black market.
北京车牌黑市
黑市可以通过将稀缺资源重新分配给最看重这些资源的人来减少扭曲监管的影响。然而,黑市的非法性质造成了交易成本,减少了贸易收益。我们采用部分识别方法来推断北京车牌黑市的贸易和交易成本收益,这些车牌是在最近的配额制之后出现的。我们使用最优运输方法在弱假设下使用综合汽车销售数据来非参数估计未观察到的黑市交易量的下界。我们发现,至少11%的车牌配额是非法交易的。接下来,我们从贸易和交易成本中推断收益,并在进一步假设黑市交易的情况下收紧交易量的界限。交易成本的推断规模表明严重的市场摩擦:交易成本损失了61%至82%的贸易实现收益,而交易潜在收益的7%至28%是在黑市实现的。
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