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• W4312155135 abstract "There is a substantial literature that suggests that search behavior data from Google Trends can be used for both private and public sector decision-making. In this paper, we use search behavior data from Baidu, the internet search engine most popular in China, to analyze whether these can improve nowcasts and forecasts of the Chinese economy. Using a wide variety of estimation and variable selection procedures, we find that Baidu’s search data can improve nowcast and forecast performance of the sales of automobiles and mobile phones reducing forecast errors by more than 10%, as well as reducing forecast errors of total retail sales of consumptions goods in China by more than 40%. Google Trends data, in contrast, do not improve performance." @default.
• W4312155135 created "2023-01-04" @default.
• W4312155135 creator A5038905194 @default.
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• W4312155135 date "2022-12-22" @default.
• W4312155135 modified "2023-10-17" @default.
• W4312155135 title "Predicting Chinese consumption series with Baidu" @default.
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• W4312155135 doi "https://doi.org/10.1080/14765284.2022.2161175" @default.
• W4312155135 hasPublicationYear "2022" @default.
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