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have been shown to improve forecasting models for various economic and financial series. In the aftermath of the global … financial crisis, modeling and forecasting mortgage demand and subsequent approvals have become a central issue in the banking … variables - with their extensions utilizing online searches on Google. We find that the extended models better explain the …
Persistent link: https://www.econbiz.de/10012030090
Persistent link: https://www.econbiz.de/10011421805
We suggest the use of an Internet job-search indicator (the Google Index, GI) as the best leading indicator to predict … the US unemployment rate. We perform a deep out-of-sample forecasting comparison analyzing many models that adopt both our … in comparison with the Survey of Professional Forecasters. -- Google Econometrics ; Forecast Comparison ; Keyword Search …
Persistent link: https://www.econbiz.de/10008702857
-cast of this leading indicator is desirable. We show that models including Google search queries now-cast and forecast better … to different specifications, the use of rolling or recursive windows and, in some cases, to the forecasting horizon …. Since Google queries information is free, our approach is a simple and inexpensive way to predict building permits in the …
Persistent link: https://www.econbiz.de/10012964103
We suggest the use of an Internet job-search indicator (the Google Index, GI) as the best leading indicator to predict … the US unemployment rate. We perform a deep out-of-sample forecasting comparison analyzing many models that adopt both our …
Persistent link: https://www.econbiz.de/10014195886
This study introduces a monthly coincident indicator for consumption in Germany based on Google Trends data on web …
Persistent link: https://www.econbiz.de/10011488565
whether Google Trends provides significant forecasting improvements over models without search data. Second, we assess whether … a high-frequency variable (weekly Google Trends) is more useful for accurate forecasting than a low-frequency variable …In this paper, we examine the usefulness of Google Trends data in predicting monthly tourist arrivals and overnight …
Persistent link: https://www.econbiz.de/10012002651
Index. The results show that in almost all conducted in-sample and out-of-sample forecasting experiments the Google … significant benefits to forecasters of private consumption. -- Google Trends ; private consumption ; forecasting ; Consumer …In this study we introduce a new indicator for private consumption based on search query time series provided by Google …
Persistent link: https://www.econbiz.de/10003903709
statistical forecasting models improves the forecasting performance in almost all cases. However, the challenge to identify … irregular events and to find the appropriate time series from Google Insights for search remains. -- Forecast adjustment … ; Google Trends ; private consumption …
Persistent link: https://www.econbiz.de/10009673348
already captured in other macroeconomic variables. -- Google Trends, Private Consumption, Forecasting, Consumer Sentiment … provided by Google Trends. The indicator is based on unobserved factors extracted from a set of consumption-related search … categories of the Google Trends application Insights for Search. The predictive performance of the indicator is assessed in real …
Persistent link: https://www.econbiz.de/10008933183