We propose the use of Google online search data for nowcasting and forecasting the number of food stamps recipients. We … perform a large out-of-sample forecasting exercise with almost 3000 competing models with forecast horizons up to 2 years … ahead, and we show that models including Google search data statistically outperform the competing models at all considered …

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 …

limited to short-term predictions, the value of Google data for forecasting purposes is episodic, and the improvements in …Data on Google searches help predict the unemployment rate in the U.S. But the predictive power of Google searches is … forecasting accuracy are only modest. The results, obtained by (pseudo) out-of-sample forecast comparison, are robust to a state …

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 …

number of searches performed on Google relating to coal power plants and the prices of alternative fuels for electricity … with robustness checks considering alternative Google search keywords and the potential effects of the recession in the …

Empirical assessments of the forecasting power of spatial panel data econometric models are still scarcely available … test different forecasting horizons, in order to investigate the speed of deterioration of forecasting quality. We compare … appears to diminish as the forecasting horizon widens, eventually leading the SF model to being preferred for more distant …

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 …