Nowcasting With Google Trends in an Emerging Market
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- Yan Carrière‐Swallow & Felipe Labbé, 2013. "Nowcasting with Google Trends in an Emerging Market," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(4), pages 289-298, July.
References listed on IDEAS
- Clark, Todd E. & McCracken, Michael W., 2001.
"Tests of equal forecast accuracy and encompassing for nested models,"
Journal of Econometrics,
Elsevier, vol. 105(1), pages 85-110, November.
- Todd E. Clark & Michael W. McCracken, 1999. "Tests of equal forecast accuracy and encompassing for nested models," Research Working Paper 99-11, Federal Reserve Bank of Kansas City.
- Todd E. Clark & Michael W. McCracken, 2000. "Tests of Equal Forecast Accuracy and Encompassing for Nested Models," Econometric Society World Congress 2000 Contributed Papers 0319, Econometric Society.
- Todd E. Clark & Michael McCracken, 1999. "Tests of Equal Forecast Accuracy and Encompassing for Nested Models," Computing in Economics and Finance 1999 1241, Society for Computational Economics.
- Henriksson, Roy D & Merton, Robert C, 1981. "On Market Timing and Investment Performance. II. Statistical Procedures for Evaluating Forecasting Skills," The Journal of Business, University of Chicago Press, vol. 54(4), pages 513-533, October.
- Ashley, R & Granger, C W J & Schmalensee, R, 1980. "Advertising and Aggregate Consumption: An Analysis of Causality," Econometrica, Econometric Society, vol. 48(5), pages 1149-1167, July.
- Diebold, Francis X & Mariano, Roberto S, 2002.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 20(1), pages 134-144, January.
- Shiu-Sheng Chen, 2005. "A note on in-sample and out-of-sample tests for Granger causality," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(6), pages 453-464.
- Simeon Vosen & Torsten Schmidt, 2011.
"Forecasting private consumption: survey‐based indicators vs. Google trends,"
Journal of Forecasting,
John Wiley & Sons, Ltd., vol. 30(6), pages 565-578, September.
- Schmidt, Torsten & Vosen, Simeon, 2009. "Forecasting Private Consumption: Survey-based Indicators vs. Google Trends," Ruhr Economic Papers 155, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Clark, Todd E. & West, Kenneth D., 2007.
"Approximately normal tests for equal predictive accuracy in nested models,"
Journal of Econometrics,
Elsevier, vol. 138(1), pages 291-311, May.
- Todd E. Clark & Kenneth D. West, 2005. "Approximately normal tests for equal predictive accuracy in nested models," Research Working Paper RWP 05-05, Federal Reserve Bank of Kansas City.
- Kenneth D. West & Todd Clark, 2006. "Approximately Normal Tests for Equal Predictive Accuracy in Nested Models," NBER Technical Working Papers 0326, National Bureau of Economic Research, Inc.
- Della Penna, Nicolas & Huang, Haifang, 2009. "Constructing Consumer Sentiment Index for U.S. Using Google Searches," Working Papers 2009-26, University of Alberta, Department of Economics, revised 01 Feb 2010.
- Trefler, Daniel, 1995. "The Case of the Missing Trade and Other Mysteries," American Economic Review, American Economic Association, vol. 85(5), pages 1029-1046, December.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Nikolaos Askitas & Klaus F. Zimmermann, 2015.
"The internet as a data source for advancement in social sciences,"
International Journal of Manpower,
Emerald Group Publishing, vol. 36(1), pages 2-12, April.
- Nikolaos Askitas & Klaus F. Zimmermann, 2015. "The Internet as a Data Source for Advancement in Social Sciences," Working Paper Series of the German Council for Social and Economic Data 248, German Council for Social and Economic Data (RatSWD).
- Askitas, Nikos & Zimmermann, Klaus F., 2015. "The Internet as a Data Source for Advancement in Social Sciences," IZA Discussion Papers 8899, Institute for the Study of Labor (IZA).
- Havranek, Tomas & Zeynalov, Ayaz, 2018. "Forecasting Tourist Arrivals with Google Trends and Mixed Frequency Data," EconStor Preprints 187420, ZBW - Leibniz Information Centre for Economics.
- Fantazzini, Dean & Toktamysova, Zhamal, 2015.
"Forecasting German car sales using Google data and multivariate models,"
International Journal of Production Economics,
Elsevier, vol. 170(PA), pages 97-135.
- Fantazzini, Dean & Toktamysova, Zhamal, 2015. "Forecasting German Car Sales Using Google Data and Multivariate Models," MPRA Paper 67110, University Library of Munich, Germany.
- repec:spr:annopr:v:270:y:2018:i:1:d:10.1007_s10479-016-2296-z is not listed on IDEAS
- Steven L. Scott & Hal R. Varian, 2015.
"Bayesian Variable Selection for Nowcasting Economic Time Series,"
NBER Chapters,in: Economic Analysis of the Digital Economy, pages 119-135
National Bureau of Economic Research, Inc.
- Steven L. Scott & Hal R. Varian, 2013. "Bayesian Variable Selection for Nowcasting Economic Time Series," NBER Working Papers 19567, National Bureau of Economic Research, Inc.
- Havranek, Tomas & Zeynalov, Ayaz, 2018. "Forecasting Tourist Arrivals: Google Trends Meets Mixed Frequency Data," MPRA Paper 90205, University Library of Munich, Germany.
- repec:eee:eneeco:v:74:y:2018:i:c:p:208-251 is not listed on IDEAS
- Li, Xin & Ma, Jian & Wang, Shouyang & Zhang, Xun, 2015. "How does Google search affect trader positions and crude oil prices?," Economic Modelling, Elsevier, vol. 49(C), pages 162-171.
- Ladislav Kristoufek, 2013. "Can Google Trends search queries contribute to risk diversification?," Papers 1310.1444, arXiv.org.
- Olivier Gergaud & Victor Ginsburgh, 2016. "Evaluating the Economic Effects of Cultural Events," Working Papers ECARES ECARES 2016-24, ULB -- Universite Libre de Bruxelles.
- Zeynalov, Ayaz, 2014. "Nowcasting Tourist Arrivals to Prague: Google Econometrics," MPRA Paper 60945, University Library of Munich, Germany.
- Zeynalov, Ayaz, 2017. "Forecasting Tourist Arrivals in Prague: Google Econometrics," MPRA Paper 83268, University Library of Munich, Germany.
- Gantiah Wuryandani & Indri Mardiani, 2015. "Surveys as leading information to support central bank policy formulation: the case of Indonesia," IFC Bulletins chapters,in: Bank for International Settlements (ed.), Indicators to support monetary and financial stability analysis: data sources and statistical methodologies, volume 39 Bank for International Settlements.
More about this item
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2011-04-23 (All new papers)
- NEP-FOR-2011-04-23 (Forecasting)
- NEP-ICT-2011-04-23 (Information & Communication Technologies)
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