Abstract
We show that including Google Search Volume Index (GSVI) for bus and train, as proxies for the willingness of the consumers to use public transportation services, improves the explanatory power of the estimated demand for the United States retail gasoline. We find that gasoline consumption is negatively related to the search for public transportation services. Our results demonstrate a showcase for utilizing real-time data to improve quantitative energy policy analysis.
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