{"title":"谷歌搜索和汽油价格","authors":"Péter Molnár, M. Bašta","doi":"10.1109/EEM.2017.7981978","DOIUrl":null,"url":null,"abstract":"We study the relation between gasoline prices and Google searches for the term “gasoline prices”. Utilizing the framework of a vector autoregressive model and Granger causality, we find a two-way relationship between gasoline prices and Google searches. In both directions, the relation is negative, i.e. an increase in one of the variables leads to a decrease in the other variable. Moreover, we find the strongest evidence for causality from Google searches to gasoline prices.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Google searches and Gasoline prices\",\"authors\":\"Péter Molnár, M. Bašta\",\"doi\":\"10.1109/EEM.2017.7981978\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We study the relation between gasoline prices and Google searches for the term “gasoline prices”. Utilizing the framework of a vector autoregressive model and Granger causality, we find a two-way relationship between gasoline prices and Google searches. In both directions, the relation is negative, i.e. an increase in one of the variables leads to a decrease in the other variable. Moreover, we find the strongest evidence for causality from Google searches to gasoline prices.\",\"PeriodicalId\":416082,\"journal\":{\"name\":\"2017 14th International Conference on the European Energy Market (EEM)\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 14th International Conference on the European Energy Market (EEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EEM.2017.7981978\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 14th International Conference on the European Energy Market (EEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEM.2017.7981978","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We study the relation between gasoline prices and Google searches for the term “gasoline prices”. Utilizing the framework of a vector autoregressive model and Granger causality, we find a two-way relationship between gasoline prices and Google searches. In both directions, the relation is negative, i.e. an increase in one of the variables leads to a decrease in the other variable. Moreover, we find the strongest evidence for causality from Google searches to gasoline prices.
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