In this paper we explore the relationship between the Industrial Production Index (IPI), the confidence index for the manufacturing sector and its sub-indexes and Google searches for several words linked to the economic situation, for the period January 2004 - September 2016 on Italian data. Significant correlations between the selected indicators point to probable comovements of same. Adding one observation at a time since the first forewarning signs of the 2008 crisis, we find that a few Google searches and the IPI cointegrate, particularly during the strong downward trend leading to January 2009, while no confidence indicators cointegrate with the IPI. These findings suggest that concern about economic conditions expressed through search...
Oil market pricing is highly susceptible to geopolitical and economic events. With the rapid develop...
The volume of online data searches can be used as indicators of economic analysis and forecasting. T...
We apply a relatively novel leading–lagging (LL) method to four leading and one lagging indexes for ...
In this paper we explore the relationship between the Industrial Production Index (IPI), the confide...
[EN] In this paper the relationship between the Industrial Production Index (IPI), the confidence i...
The purpose of this contribution is to evaluate whether there is enough statistical basis to establi...
The purpose of this contribution is to evaluate whether there is enough statistical basis to establi...
This paper examines the causal relationship between global stock market performance and Google searc...
none3noPresented at the Macroeconomic of Uncertainty and Volatility, Stanford Institute for Theoreti...
none2noWe propose search engine query data-based indices for the Italian residential construction pr...
This work presents a study describing the use of Internet search information to achieve improved now...
One of the difficulties faced by policymakers during the COVID-19 outbreak in Italy was the monitori...
The current economic crisis requires fast information to predict economic behavior early, which is d...
"The current economic crisis requires fast information to predict economic behavior early, which is ...
A panel data study of the Reallocation Hypothesis (RE) along with data from Google-Trends.This study...
Oil market pricing is highly susceptible to geopolitical and economic events. With the rapid develop...
The volume of online data searches can be used as indicators of economic analysis and forecasting. T...
We apply a relatively novel leading–lagging (LL) method to four leading and one lagging indexes for ...
In this paper we explore the relationship between the Industrial Production Index (IPI), the confide...
[EN] In this paper the relationship between the Industrial Production Index (IPI), the confidence i...
The purpose of this contribution is to evaluate whether there is enough statistical basis to establi...
The purpose of this contribution is to evaluate whether there is enough statistical basis to establi...
This paper examines the causal relationship between global stock market performance and Google searc...
none3noPresented at the Macroeconomic of Uncertainty and Volatility, Stanford Institute for Theoreti...
none2noWe propose search engine query data-based indices for the Italian residential construction pr...
This work presents a study describing the use of Internet search information to achieve improved now...
One of the difficulties faced by policymakers during the COVID-19 outbreak in Italy was the monitori...
The current economic crisis requires fast information to predict economic behavior early, which is d...
"The current economic crisis requires fast information to predict economic behavior early, which is ...
A panel data study of the Reallocation Hypothesis (RE) along with data from Google-Trends.This study...
Oil market pricing is highly susceptible to geopolitical and economic events. With the rapid develop...
The volume of online data searches can be used as indicators of economic analysis and forecasting. T...
We apply a relatively novel leading–lagging (LL) method to four leading and one lagging indexes for ...