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"Google it!" Forecasting the US unemployment rate with a Google job search index

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Author Info
D'Amuri, Francesco
Marcucci, Juri

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Abstract

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 initial claims or combinations of both. We find that models augmented with the GI outperform the traditional ones in predicting the monthly unemployment rate, even in most state-level forecasts and in comparison with the Survey of Professional Forecasters.

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File URL: http://mpra.ub.uni-muenchen.de/18248/
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File URL: http://mpra.ub.uni-muenchen.de/18732/
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Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 18248.

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Date of creation: 30 Oct 2009
Date of revision: 19 Nov 2009
Handle: RePEc:pra:mprapa:18248

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Related research
Keywords: Google econometrics; Forecast comparison; Keyword search; US unemployment; Time series models.;

Other versions of this item:

Find related papers by JEL classification:
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
J60 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - General
E27 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation
J64 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Unemployment: Models, Duration, Incidence, and Job Search
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation

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This page was last updated on 2009-11-28.


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