Power Reliability and Regional Growth: A Double Machine-Learning Approach
利用美国配电公用事业和电力营销商的数据，采用双重机器学习技术，研究电网可靠性指标与县级就业和人口变化的关系，发现改善电力可靠性有利于区域增长，尤其是农村地区。
Interruptions to electric power systems are to some degree inevitable. However, the frequency with which they occur, their duration, and the ability of providers to restore power quickly could have implications for regional growth. Using information on distribution utilities and power marketers of electricity across the U.S., we examine the relationship between grid reliability and county-level growth. Specifically, we utilize a double machine-learning technique to assess how various measures of power reliability are associated with the percent change in employment and population. Overall, the results suggest that counties benefit from improvements in power reliability. We also find linkages between shorter minor interruptions and regional growth, especially in rural areas.