policy mix of unemployment insurance agencies. We analyze unique data on three sources of information on the probability of … re-employment within 6 months (RE6), for the same individuals sampled from the inflow into unemployment. First, they were …

the same individuals sampled from the inflow into unemployment. First, they were asked for their perceived probability of …

the same individuals sampled from the inflow into unemployment. First, they were asked for their perceived probability of …

the US unemployment rate. We perform a deep out-of-sample forecasting comparison analyzing many models that adopt both our … the GI outperform the traditional ones in predicting the monthly unemployment rate, even in most state-level forecasts and …

prediction. This paper presents an application where unemployment job search indicators for the G7 countries are based on Google … estimate our unemployment indicator which is considered a latent common trend. Finally the predictive performance of our … indicators is assessed by an automatic stochastic specification with respect to unemployment levels and other key labour market …

predict the US monthly unemployment rate. We perform a deep out-of-sample forecasting comparison analyzing many models that … augmented with the GI outperform the traditional ones in predicting the unemployment rate for different out-of-sample intervals … confirmed when employing different keywords. Based on our results for the unemployment rate, we believe that there will be an …

the US unemployment rate. We perform a deep out-of-sample forecasting comparison analyzing many models that adopt both our … the GI outperform the traditional ones in predicting the monthly unemployment rate, even in most state-level forecasts and … ; US Unemployment ; Time Series Models …