This paper studies the relationship between a vacancy population obtained from web crawling and vacancies in the economy inferred by a National Statistics Office (NSO) using a traditional method. We compare the time series properties of samples obtained between 2007 and 2014 by Statistics Netherlands and by a web scraping company. We find that the web and NSO vacancy data present similar time series properties, suggesting that both time series are generated by the same underlying phenomenon: the real number of new vacancies in the economy. We conclude that, in our case study, web-sourced data are able to capture aggregate economic activity in the labor market
A panel data study of the Reallocation Hypothesis (RE) along with data from Google-Trends.This study...
Motivation: As the result of digitalisation of the economy, the number of Internet users is increasi...
Abstract Along with the advancement of the Internet in the last decade, researchers have increasingl...
This paper studies the relationship between a vacancy population obtained from web crawling and vaca...
This paper studies the relationship between a job vacancy population obtained from an international ...
International audienceThe official statistics community is reacting to the challenges and opportunit...
This article tests the power of a novel indicator based on job search related web queries in predict...
Treballs Finals del Màster d'Economia, Facultat d'Economia i Empresa, Universitat de Barcelona, Curs...
The Web has grown into a heterogeneous open data space of interlinked documents, tables, and databas...
Recent studies have shown that population-level time perspectives can be approximated using “big dat...
International audienceAccording to the growing “Google econometrics” literature, Google queries may ...
Economists and social scientists are increasingly making use of web data to address socio-economic i...
Whereas the sample composition biases of web surveys have been discussed extensively for developed c...
"The current economic crisis requires fast information to predict economic behavior early, which is ...
This paper uses time series of job search queries from Google Trends to predict the unemployment in ...
A panel data study of the Reallocation Hypothesis (RE) along with data from Google-Trends.This study...
Motivation: As the result of digitalisation of the economy, the number of Internet users is increasi...
Abstract Along with the advancement of the Internet in the last decade, researchers have increasingl...
This paper studies the relationship between a vacancy population obtained from web crawling and vaca...
This paper studies the relationship between a job vacancy population obtained from an international ...
International audienceThe official statistics community is reacting to the challenges and opportunit...
This article tests the power of a novel indicator based on job search related web queries in predict...
Treballs Finals del Màster d'Economia, Facultat d'Economia i Empresa, Universitat de Barcelona, Curs...
The Web has grown into a heterogeneous open data space of interlinked documents, tables, and databas...
Recent studies have shown that population-level time perspectives can be approximated using “big dat...
International audienceAccording to the growing “Google econometrics” literature, Google queries may ...
Economists and social scientists are increasingly making use of web data to address socio-economic i...
Whereas the sample composition biases of web surveys have been discussed extensively for developed c...
"The current economic crisis requires fast information to predict economic behavior early, which is ...
This paper uses time series of job search queries from Google Trends to predict the unemployment in ...
A panel data study of the Reallocation Hypothesis (RE) along with data from Google-Trends.This study...
Motivation: As the result of digitalisation of the economy, the number of Internet users is increasi...
Abstract Along with the advancement of the Internet in the last decade, researchers have increasingl...