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  • Search: subject:"Google econometrics"
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Year of publication
Subject
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Google econometrics 6 Google Econometrics 5 Google Trends 3 House Price Index 3 Keyword search 3 Real Estate 3 Forecast Comparison 2 Forecast comparison 2 Kalman filter 2 Time Series Models 2 Time series models 2 US Unemployment 2 US unemployment 2 forecasting 2 nowcasting 2 smoothing 2 COVID-19 1 Coronavirus 1 Credit demand 1 EU countries 1 EU-Staaten 1 Estimation 1 Euro area 1 Eurozone 1 Factor analysis 1 Faktorenanalyse 1 Forecasting model 1 Frühindikator 1 Immobilienmarkt 1 Immobilienpreis 1 Internet search data 1 Keyword Search 1 Leading indicator 1 Preisindex 1 Price index 1 Prognoseverfahren 1 Real estate market 1 Real estate price 1 Residential real estate 1 Schätzung 1
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Online availability
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Free 11
Type of publication
All
Book / Working Paper 11
Type of publication (narrower categories)
All
Working Paper 3 Graue Literatur 2 Non-commercial literature 2 Arbeitspapier 1
Language
All
Undetermined 6 English 5
Author
All
Marcucci, Juri 4 Bennöhr, Lars 3 D'Amuri, Francesco 3 Oestmann, Marco 3 Cristea, Radu Gabriel 1 FD 1 Fondeur, Yannick 1 Francesco D’Amuri 1 Francesco, D'Amuri 1 JM 1 Karamé, Frédéric 1 Saxa, Branislav 1
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Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 2 Banca d'Italia 1 Centre d'Études des Politiques Économiques (EPEE), Université d'Évry Val d'Essonne 1 Fondazione ENI Enrico Mattei (FEEM) 1 Fächergruppe Volkswirtschaftslehre, Helmut Schmidt Universität Hamburg 1 Česká Národní Banka 1
Published in...
All
MPRA Paper 2 Cambridge working papers in economics 1 Cambridge-INET working papers 1 Diskussionspapier 1 Diskussionspapier / Helmut-Schmidt-Universität, Fächergruppe Volkswirtschaftslehre 1 Documents de recherche 1 Nota di Lavoro 1 Temi di discussione (Economic working papers) 1 Working Paper / Fächergruppe Volkswirtschaftslehre, Helmut Schmidt Universität Hamburg 1 Working Papers / Fondazione ENI Enrico Mattei (FEEM) 1 Working Papers / Česká Národní Banka 1
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Source
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RePEc 7 ECONIS (ZBW) 2 EconStor 2
Showing 1 - 10 of 11
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Can alternative data improve the accuracy of dynamic factor model nowcasts? : evidence from the euro area
Cristea, Radu Gabriel - 2020
Persistent link: https://www.econbiz.de/10013206467
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Determinants of House Price Dynamics. What Can We Learn From Search Engine Data?
Bennöhr, Lars; Oestmann, Marco - 2014
There is a broad literature about fundamental determinants of house prices, which received increasing attention in the aftermath of the subprime crisis. However, there might be several other partly unobservable socio-demographic, psychological or individual factors influencing real estate price...
Persistent link: https://www.econbiz.de/10010420869
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Determinants of house price dynamics. What can we learn from search engine data?
Bennöhr, Lars; Oestmann, Marco - Fächergruppe Volkswirtschaftslehre, Helmut Schmidt … - 2014
There is a broad literature about fundamental determinants of house prices, which received increasing attention in the aftermath of the subprime crisis. However, there might be several other partly unobservable socio-demographic, psychological or individual factors influencing real estate price...
Persistent link: https://www.econbiz.de/10010991234
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Forecasting Mortgages: Internet Search Data as a Proxy for Mortgage Credit Demand
Saxa, Branislav - Česká Národní Banka - 2014
This paper examines the usefulness of Google Trends data for forecasting mortgage lending in the Czech Republic. While the official monthly statistics on mortgage lending come with a publication lag of one month, the data on how often people search for mortgage-related terms on the internet are...
Persistent link: https://www.econbiz.de/10011170398
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Cover Image
Determinants of house price dynamics : what can we learn from search engine data?
Bennöhr, Lars; Oestmann, Marco - 2014
There is a broad literature about fundamental determinants of house prices, which received increasing attention in the aftermath of the subprime crisis. However, there might be several other partly unobservable socio-demographic, psychological or individual factors influencing real estate price...
Persistent link: https://www.econbiz.de/10010418926
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The predictive power of Google searches in forecasting unemployment
D'Amuri, Francesco; Marcucci, Juri - Banca d'Italia - 2012
We suggest the use of an index of Internet job-search intensity (the Google Index, GI) as the best leading indicator to predict the US monthly unemployment rate. We perform a deep out-of-sample forecasting comparison analyzing many models that adopt our preferred leading indicator (GI), the more...
Persistent link: https://www.econbiz.de/10011099697
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Can Google Data Help Predict French Youth Unemployment?
Karamé, Frédéric; Fondeur, Yannick - Centre d'Études des Politiques Économiques (EPEE), … - 2012
According to the rising “Google econometrics” literature, Google queries may help predict economic activity. The aim of …
Persistent link: https://www.econbiz.de/10010634961
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'Google it!' Forecasting the US unemployment rate with a Google job search index
D'Amuri, Francesco; Marcucci, Juri - 2010
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 preferred leading indicator (GI), the more standard...
Persistent link: https://www.econbiz.de/10010272473
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“Google it!”Forecasting the US Unemployment Rate with a Google Job Search index
Francesco D’Amuri; Marcucci, Juri - Fondazione ENI Enrico Mattei (FEEM) - 2010
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 preferred leading indicator (GI), the more standard...
Persistent link: https://www.econbiz.de/10008540414
Saved in:
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Predicting unemployment in short samples with internet job search query data
Francesco, D'Amuri - Volkswirtschaftliche Fakultät, … - 2009
This article tests the power of a novel indicator based on job search related web queries in predicting quarterly unemployment rates in short samples. Augmenting standard time series specifications with this indicator definitely improves out-of-sample forecasting performance at nearly all...
Persistent link: https://www.econbiz.de/10008527375
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