The Use of Regression Statistics to Analyze Imperfect Pricing Policies
The Use of Regression Statistics to Analyze Imperfect Pricing Policies
复制标题
使用回归统计分析不完善的定价政策
DOI：
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发表时间：
2020
影响因子：
8.2
通讯作者：
Arthur A. van Benthem
中科院分区：
文献类型：
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作者：
Mark R. Jacobsen;Christopher R. Knittel;J. Sallee;Arthur A. van Benthem
纠正性税收可以解决许多市场失灵问题，但实际政策往往因行政或政治限制而偏离理论理想。我们提出了一种方法来量化的效率成本的约束外部性校正政策，或更一般地说，不完善的定价成本，使用简单的回归统计。在一定条件下，R2和政策变量真实外部性回归的残差平方和衡量政策带来的相对福利收益。我们说明通过四个实证应用：随机错误测量的外部性，不完善的电力定价，能源消耗耐用品的寿命异质性，和不完善的空间政策差异。
Corrective taxes can solve many market failures, but actual policies frequently deviate from the theoretical ideal because of administrative or political constraints. We present a method to quantify the efficiency costs of constraints on externality-correcting policies or, more generally, the costs of imperfect pricing, using simple regression statistics. Under certain conditions, the R2 and the sum of squared residuals from a regression of true externalities on policy variables measure relative welfare gains from policies. We illustrate via four empirical applications: random mismeasurement of externalities, imperfect electricity pricing, heterogeneity in the longevity of energy-consuming durable goods, and imperfect spatial policy differentiation.