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Predicting the Present with Google Trends

Citations

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Cited by:

  1. Sarthak S. Behera & Divya Sadana, 2025. "The impact of visibility on school athletic finances: an empirical analysis using Google Trends," Empirical Economics, Springer, vol. 69(3), pages 1585-1629, September.
  2. Gutiérrez, Antonio, 2023. "La brecha de género en el emprendimiento y la cultura emprendedora: Evidencia con Google Trends [Entrepreneurship gender gap and entrepreneurial culture: Evidence from Google Trends]," MPRA Paper 115876, University Library of Munich, Germany.
  3. Schniederjans, Dara G. & Curado, Carla & Khalajhedayati, Mehrnaz, 2020. "Supply chain digitisation trends: An integration of knowledge management," International Journal of Production Economics, Elsevier, vol. 220(C).
  4. Chi, Tsung-Li & Liu, Hung-Tsen & Chang, Chia-Chien, 2023. "Hedging performance using google Trends–Evidence from the indian forex options market," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 107-123.
  5. Craig A. Depken II & E. Frank Stephenson, 2017. "Copper Theft in the United States," The American Economist, Sage Publications, vol. 62(1), pages 66-76, March.
  6. Saiz, Albert & Salazar-Miranda, Arianna, 2023. "Understanding Urban Economies, Land Use, and Social Dynamics in the City: Big Data and Measurement," IZA Discussion Papers 16501, Institute of Labor Economics (IZA).
  7. Maciej Beręsewicz & Herman Cherniaiev & Andrzej Mantaj & Robert Pater, 2024. "Text analysis of job offers for mismatch of educational characteristics to labour market demands," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(2), pages 1799-1825, April.
  8. POPESCU Mioara, 2015. "Construction Of Economic Indicators Using Internet Searches," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 6(1), pages 25-31.
  9. Briggs, Justin Thomas & Tabarrok, Alexander, 2014. "Firearms and suicides in US states," International Review of Law and Economics, Elsevier, vol. 37(C), pages 180-188.
  10. Martha Bicket & Robin Vanner, 2016. "Designing Policy Mixes for Resource Efficiency: The Role of Public Acceptability," Sustainability, MDPI, vol. 8(4), pages 1-17, April.
  11. Kim, Jooho & Bae, Juhee & Hastak, Makarand, 2018. "Emergency information diffusion on online social media during storm Cindy in U.S," International Journal of Information Management, Elsevier, vol. 40(C), pages 153-165.
  12. Artem Meshcheryakov & Stoyu I Ivanov, 2017. "Investor's sentiment in predicting the Effective Federal Funds Rate," Economics Bulletin, AccessEcon, vol. 37(4), pages 2767-2796.
  13. Jichang Dong & Wei Dai & Ying Liu & Lean Yu & Jie Wang, 2019. "Forecasting Chinese Stock Market Prices using Baidu Search Index with a Learning-Based Data Collection Method," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(05), pages 1605-1629, September.
  14. Nian Li & Chunling Li & Runsen Yuan & Muhammad Asif Khan & Xiaoran Sun & Nosherwan Khaliq, 2021. "Investor Attention and Corporate Innovation Performance: Evidence from Web Search Volume Index of Chinese Listed Companies," Mathematics, MDPI, vol. 9(9), pages 1-23, April.
  15. Havranek, Tomas & Zeynalov, Ayaz, 2018. "Forecasting Tourist Arrivals with Google Trends and Mixed Frequency Data," EconStor Preprints 187420, ZBW - Leibniz Information Centre for Economics.
  16. Runde Fu & Xinhuan Zhang & Degang Yang & Tianyi Cai & Yufang Zhang, 2021. "The Relationship between Urban Vibrancy and Built Environment: An Empirical Study from an Emerging City in an Arid Region," IJERPH, MDPI, vol. 18(2), pages 1-20, January.
  17. Ying Liu & Yibing Chen & Sheng Wu & Geng Peng & Benfu Lv, 2015. "Composite leading search index: a preprocessing method of internet search data for stock trends prediction," Annals of Operations Research, Springer, vol. 234(1), pages 77-94, November.
  18. Aaronson, Daniel & Brave, Scott A. & Butters, R. Andrew & Fogarty, Michael & Sacks, Daniel W. & Seo, Boyoung, 2022. "Forecasting unemployment insurance claims in realtime with Google Trends," International Journal of Forecasting, Elsevier, vol. 38(2), pages 567-581.
  19. Binru Zhang & Yulian Pu & Yuanyuan Wang & Jueyou Li, 2019. "Forecasting Hotel Accommodation Demand Based on LSTM Model Incorporating Internet Search Index," Sustainability, MDPI, vol. 11(17), pages 1-14, August.
  20. Andrea Monaco & Adamaria Perrotta & Joseph Mulligan, 2024. "Selecting sensitive web info via conditional probabilities to model economics and financial variables," Empirical Economics, Springer, vol. 66(1), pages 467-481, January.
  21. Karolien Lenaerts & Miroslav Beblavý & Brian Fabo, 2016. "Prospects for utilisation of non-vacancy Internet data in labour market analysis—an overview," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-18, December.
  22. Yann Algan & Fabrice Murtin & Elizabeth Beasley & Kazuhito Higa & Claudia Senik, 2019. "Well-being through the lens of the internet," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-23, January.
  23. Ziru Li & Chen Liang & Yili Hong & Zhongju Zhang, 2022. "How Do On‐demand Ridesharing Services Affect Traffic Congestion? The Moderating Role of Urban Compactness," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 239-258, January.
  24. David Kreitmeir & Paul A. Raschky, 2024. "The Heterogeneous Productivity Effects of Generative AI," Papers 2403.01964, arXiv.org, revised Jun 2024.
  25. Zhongchen Song & Tom Coupé, 2023. "Predicting Chinese consumption series with Baidu," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 21(3), pages 429-463, July.
  26. Marc Bourreau & François Moreau & Patrik Wikström, 2022. "Does digitization lead to the homogenization of cultural content?," Economic Inquiry, Western Economic Association International, vol. 60(1), pages 427-453, January.
  27. Xiujun Qin & Xiaolei Qin, 2025. "Research on the Level of High-Quality Urban Development Based on Big Data Evaluation System: A Study of 151 Prefecture-Level Cities in China," Sustainability, MDPI, vol. 17(3), pages 1-19, January.
  28. Francesco Capozza & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2021. "Studying Information Acquisition in the Field: A Practical Guide and Review," CEBI working paper series 21-15, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
  29. Fu, Hengni & Zheng, Chengsi & Yang, PingYu, 2024. "Digital inclusive finance and green transformation of manufacturing enterprises: Empirical analysis based on the dual perspectives of demand and supply," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  30. Andreea Avramescu & Arkadiusz Wiśniowski, 2021. "Now-casting Romanian migration into the United Kingdom by using Google Search engine data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 45(40), pages 1219-1254.
  31. Kučerová, Zuzana & Pakši, Daniel & Koňařík, Vojtěch, 2024. "Macroeconomic fundamentals and attention: What drives european consumers’ inflation expectations?," Economic Systems, Elsevier, vol. 48(1).
  32. Chien-jung Ting & Yi-Long Hsiao & Rui-jun Su, 2022. "Application of the Real-Time Tourism Data in Nowcasting the Service Consumption in Taiwan," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(4), pages 1-4.
  33. Wohlfarth, Paul, 2018. "Measuring the impact of monetary policy attention on global asset volatility using search data," Economics Letters, Elsevier, vol. 173(C), pages 15-18.
  34. Yann Algan & Elizabeth Beasley & Florian Guyot & Kazuhito Higad & Fabrice Murtin & Claudia Senik, 2015. "Big Data Measures of Well-Being: Evidence from a Google Well-Being Index in the US," PSE Working Papers hal-03429943, HAL.
  35. Emanuele Ciani & Adeline Delavande & Ben Etheridge & Marco Francesconi, 2023. "Policy Uncertainty and Information Flows: Evidence from Pension Reform Expectations," The Economic Journal, Royal Economic Society, vol. 133(649), pages 98-129.
  36. Mingyang Zhang & Heyan Xu & Ning Ma & Xinglin Pan, 2022. "Intelligent Vehicle Sales Prediction Based on Online Public Opinion and Online Search Index," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
  37. Chen, Shiyi & Jiang, Lingduo & Liu, Wanlin & Song, Hong, 2022. "Fireworks regulation, air pollution, and public health: Evidence from China," Regional Science and Urban Economics, Elsevier, vol. 92(C).
  38. Ahmed Al-Imam, 2017. "Retrospective Analyses of High-risk NPS: Integrative Analyses of PubMed, Drug Fora, and the Surface Web," Global Journal of Health Science, Canadian Center of Science and Education, vol. 9(11), pages 1-40, November.
  39. Perroni, Carlo & Scharf, Kimberley & Talavera, Oleksandr & Vi, Linh, 2021. "Online Salience and Charitable Giving : Evidence from SMS Donations," The Warwick Economics Research Paper Series (TWERPS) 1325, University of Warwick, Department of Economics.
  40. Grzegorz Michal Bulczak, 2021. "Use of Google Trends to Predict the Real Estate Market: Evidence from the United Kingdom," International Real Estate Review, Global Social Science Institute, vol. 24(4), pages 613-631.
  41. Maksim Malyy & Zeljko Tekic & Tatiana Podladchikova, 2021. "The value of big data for analyzing growth dynamics of technology based new ventures," Papers 2104.03053, arXiv.org.
  42. Saakshi & Sohini Sahu & Siddhartha Chattopadhyay, 2020. "Epidemiology of inflation expectations and internet search: an analysis for India," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(3), pages 649-671, July.
  43. Anastasiou, Dimitrios & Drakos, Konstantinos, 2021. "European depositors’ behavior and crisis sentiment," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 117-136.
  44. David W Carter & Scott Crosson & Christopher Liese, 2015. "Nowcasting Intraseasonal Recreational Fishing Harvest with Internet Search Volume," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-18, September.
  45. Li, Xin & Pan, Bing & Law, Rob & Huang, Xiankai, 2017. "Forecasting tourism demand with composite search index," Tourism Management, Elsevier, vol. 59(C), pages 57-66.
  46. Jorge M. Agüero & Trinidad Beleche, 2016. "Health Shocks and the Long-Lasting Change in Health Behaviors: Evidence from Mexico," Working papers 2016-26, University of Connecticut, Department of Economics.
  47. Stig Vinther Møller & Thomas Pedersen & Erik Christian Montes Schütte & Allan Timmermann, 2024. "Search and Predictability of Prices in the Housing Market," Management Science, INFORMS, vol. 70(1), pages 415-438, January.
  48. González-Fernández, Marcos & González-Velasco, Carmen, 2018. "Can Google econometrics predict unemployment? Evidence from Spain," Economics Letters, Elsevier, vol. 170(C), pages 42-45.
  49. Javier Mejia, 2018. "Social Networks and Entrepreneurship. Evidence from a Historical Episode of Industrialization," Working Papers 20180020, New York University Abu Dhabi, Department of Social Science, revised Sep 2018.
  50. Hantzsche, Arno, 2022. "Fiscal uncertainty and sovereign credit risk," European Economic Review, Elsevier, vol. 148(C).
  51. David H Chae & Sean Clouston & Mark L Hatzenbuehler & Michael R Kramer & Hannah L F Cooper & Sacoby M Wilson & Seth I Stephens-Davidowitz & Robert S Gold & Bruce G Link, 2015. "Association between an Internet-Based Measure of Area Racism and Black Mortality," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-12, April.
  52. repec:spo:wpmain:info:hdl:2441/63csdfkqvu9nfanvuffe3qk8r6 is not listed on IDEAS
  53. Ericsson, Neil R., 2017. "How biased are U.S. government forecasts of the federal debt?," International Journal of Forecasting, Elsevier, vol. 33(2), pages 543-559.
  54. Costanza Catalano & Andrea Carboni & Claudio Doria, 2023. "How can Big Data improve the quality of tourism statistics? The Bank of Italy's experience in compiling the "travel" item in the Balance of Payments," Questioni di Economia e Finanza (Occasional Papers) 761, Bank of Italy, Economic Research and International Relations Area.
  55. Galbraith, John W. & Tkacz, Greg, 2018. "Nowcasting with payments system data," International Journal of Forecasting, Elsevier, vol. 34(2), pages 366-376.
  56. Foltas, Alexander, 2020. "Testing investment forecast efficiency with textual data," Working Papers 19, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
  57. Dotson, Jeffrey P. & Fan, Ruixue Rachel & Feit, Elea McDonnell & Oldham, Jeffrey D. & Yeh, Yi-Hsin, 2017. "Brand Attitudes and Search Engine Queries," Journal of Interactive Marketing, Elsevier, vol. 37(C), pages 105-116.
  58. Wei Cheng & Patrick Carlin & Joanna Carroll & Sumedha Gupta & Felipe Lozano Rojas & Laura Montenovo & Thuy D. Nguyen & Ian M. Schmutte & Olga Scrivner & Kosali I. Simon & Coady Wing & Bruce Weinberg, 2020. "Back to Business and (Re)employing Workers? Labor Market Activity During State COVID-19 Reopenings," NBER Working Papers 27419, National Bureau of Economic Research, Inc.
  59. JooSeok Oh & Timothy Paul Connerton & Hyun-Jung Kim, 2019. "The Rediscovery of Brand Experience Dimensions with Big Data Analysis: Building for a Sustainable Brand," Sustainability, MDPI, vol. 11(19), pages 1-21, September.
  60. Chen, Ting-Hsuan & Chen, Kai-Sheng, 2024. "The effect of investor attention on stock price crash risk," Journal of Empirical Finance, Elsevier, vol. 75(C).
  61. Sudeep Bhatia, 2019. "Predicting Risk Perception: New Insights from Data Science," Management Science, INFORMS, vol. 65(8), pages 3800-3823, August.
  62. Rodrigo Mulero & Alfredo García-Hiernaux, 2021. "Forecasting Spanish unemployment with Google Trends and dimension reduction techniques," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(3), pages 329-349, September.
  63. Constantiou, Ioanna D & Kallinikos, Jannis, 2015. "New games, new rules: big data and the changing context of strategy," LSE Research Online Documents on Economics 63017, London School of Economics and Political Science, LSE Library.
  64. Bleher, Johannes & Dimpfl, Thomas, 2022. "Knitting Multi-Annual High-Frequency Google Trends to Predict Inflation and Consumption," Econometrics and Statistics, Elsevier, vol. 24(C), pages 1-26.
  65. Carmen Ruiz Viñals & Marta Gil Ibáñez & José Luis Del Olmo Arriaga, 2024. "Metaverse and Fashion: An Analysis of Consumer Online Interest," Future Internet, MDPI, vol. 16(6), pages 1-15, June.
  66. Mona Gupta & Happy Mittal & Parag Singla & Amitabha Bagchi, 2017. "Analysis and characterization of comparison shopping behavior in the mobile handset domain," Electronic Commerce Research, Springer, vol. 17(3), pages 521-551, September.
  67. Daniel Borup & Erik Christian Montes Schütte, 2022. "In Search of a Job: Forecasting Employment Growth Using Google Trends," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 186-200, January.
  68. Anandasivam Gopal & Brad N Greenwood, 2017. "Traders, guns, and money: The effects of mass shootings on stock prices of firearm manufacturers in the U.S," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-29, May.
  69. Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2024. "Lessons from nowcasting GDP across the world," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 8, pages 187-217, Edward Elgar Publishing.
  70. Nathan, Max & Rosso, Anna, 2015. "Mapping digital businesses with big data: Some early findings from the UK," Research Policy, Elsevier, vol. 44(9), pages 1714-1733.
  71. Dean Fantazzini & Tamara Shangina, 2019. "The importance of being informed: forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 5-31.
  72. Tomas Havranek & Ayaz Zeynalov, 2021. "Forecasting tourist arrivals: Google Trends meets mixed-frequency data," Tourism Economics, , vol. 27(1), pages 129-148, February.
  73. Fulop, Andras & Kocsis, Zalan, 2023. "News indices on country fundamentals," Journal of Banking & Finance, Elsevier, vol. 154(C).
  74. Andrew Bacher-Hicks & Joshua Goodman & Jennifer Greif Green & Melissa K. Holt, 2022. "The COVID-19 Pandemic Disrupted Both School Bullying and Cyberbullying," American Economic Review: Insights, American Economic Association, vol. 4(3), pages 353-370, September.
  75. Reyes, Tomas & Batista, Julian A. & Chacon, Alvaro & Martinez, Diego & Kausel, Edgar E., 2023. "Attention-driven reaction to extreme earnings surprises," The Quarterly Review of Economics and Finance, Elsevier, vol. 92(C), pages 230-248.
  76. Götz, Thomas B. & Knetsch, Thomas A., 2019. "Google data in bridge equation models for German GDP," International Journal of Forecasting, Elsevier, vol. 35(1), pages 45-66.
  77. Smales, L.A., 2021. "Investor attention and global market returns during the COVID-19 crisis," International Review of Financial Analysis, Elsevier, vol. 73(C).
  78. Tong Liu & Guojun He & Alexis Lau, 2018. "Avoidance behavior against air pollution: evidence from online search indices for anti-PM2.5 masks and air filters in Chinese cities," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(2), pages 325-363, April.
  79. Castelnuovo, Efrem & Tran, Trung Duc, 2017. "Google It Up! A Google Trends-based Uncertainty index for the United States and Australia," Economics Letters, Elsevier, vol. 161(C), pages 149-153.
  80. Mingying Zhu & Anthony Heyes, 2024. "Dreaming of Blue Skies: Evidence on Air Pollution and the Mobility Aspirations of Young People in Beijing from Online Search Behavior," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(11), pages 2889-2933, November.
  81. Oestmann Marco & Bennöhr Lars, 2015. "Determinants of house price dynamics. What can we learn from search engine data?," Review of Economics, De Gruyter, vol. 66(1), pages 99-127, April.
  82. Shaoyang Ning & Ahmed Hussain & Qing Wang, 2024. "Incorporating connectivity among Internet search data for enhanced influenza-like illness tracking," PLOS ONE, Public Library of Science, vol. 19(8), pages 1-20, August.
  83. Ksenia Yakovleva, 2018. "Text Mining-based Economic Activity Estimation," Russian Journal of Money and Finance, Bank of Russia, vol. 77(4), pages 26-41, December.
  84. Siliverstovs, Boriss & Wochner, Daniel S., 2018. "Google Trends and reality: Do the proportions match?," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 1-23.
  85. Bacher-Hicks, Andrew & Goodman, Joshua & Mulhern, Christine, 2021. "Inequality in household adaptation to schooling shocks: Covid-induced online learning engagement in real time," Journal of Public Economics, Elsevier, vol. 193(C).
  86. Young Bin Kim & Jurim Lee & Nuri Park & Jaegul Choo & Jong-Hyun Kim & Chang Hun Kim, 2017. "When Bitcoin encounters information in an online forum: Using text mining to analyse user opinions and predict value fluctuation," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-14, May.
  87. Fabio Milani, 2021. "COVID-19 outbreak, social response, and early economic effects: a global VAR analysis of cross-country interdependencies," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 223-252, January.
  88. Ashton de Silva & Maria Yanotti & Sarah Sinclair & Sveta Angelopoulos, 2023. "Place‐Based Policies and Nowcasting," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 56(3), pages 363-370, September.
  89. Jorge M. Agüero, 2019. "Information and Behavioral Responses with More than One Agent: The Case of Domestic Violence Awareness Campaigns," Working papers 2019-04, University of Connecticut, Department of Economics.
  90. Ramelli, Stefano & Ossola, Elisa & Rancan, Michela, 2021. "Stock price effects of climate activism: Evidence from the first Global Climate Strike," Journal of Corporate Finance, Elsevier, vol. 69(C).
  91. Francesco Decarolis & Maris Goldmanis & Antonio Penta & Ksenia Shakhgildyan, 2023. "Bid Coordination in Sponsored Search Auctions: Detection Methodology and Empirical Analysis," Journal of Industrial Economics, Wiley Blackwell, vol. 71(2), pages 570-592, June.
  92. Jaroslav Pavlicek & Ladislav Kristoufek, 2015. "Nowcasting Unemployment Rates with Google Searches: Evidence from the Visegrad Group Countries," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-11, May.
  93. C. Douglas Swearingen & Joseph T. Ripberger, 2014. "Google Insights and U.S. Senate Elections: Does Search Traffic Provide a Valid Measure of Public Attention to Political Candidates?," Social Science Quarterly, Southwestern Social Science Association, vol. 95(3), pages 882-893, September.
  94. Juan Camilo Anzoátegui-Zapata & Juan Camilo Galvis-Ciro, 2020. "Disagreements in Consumer Inflation Expectations: Empirical Evidence for a Latin American Economy," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 16(2), pages 99-122, November.
  95. Hendry, David F. & Mizon, Grayham E., 2014. "Unpredictability in economic analysis, econometric modeling and forecasting," Journal of Econometrics, Elsevier, vol. 182(1), pages 186-195.
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