There are over 3 billion searches globally on Google every day. This report examines whether Google search queries can … information contained in Google search queries, the report compares a simple predictive model of unemployment to a model that … contains a variable, Google Index, formed from Google data. In addition, cross-correlation analysis and Granger-causality tests …

In this report we document the ETLAnow project. ETLAnow is a model for forecasting with big data. At the moment, it … predicts the unemployment rate in the EU-28 countries using Google search data. This document is subject to updates as the …

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 …

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 …

-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 …

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 …

This study introduces a monthly coincident indicator for consumption in Germany based on Google Trends data on web …

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 …

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 …