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Using Internet Data for Economic Research

Citations

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Cited by:

  1. Li, Xiao & Shen, Dehua & Zhang, Wei, 2018. "Do Chinese internet stock message boards convey firm-specific information?," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 1-14.
  2. Courty, Pascal & Ozel, Sinan, 2019. "The value of online scarcity signals," Information Economics and Policy, Elsevier, vol. 46(C), pages 23-40.
  3. Berns, John P. & Shahriar, Abu Zafar M. & Unda, Luisa A., 2021. "Delegated monitoring in crowdfunded microfinance: Evidence from Kiva," Journal of Corporate Finance, Elsevier, vol. 66(C).
  4. Zhang, Yucheng & Xu, Shan & Zhang, Long & Yang, Mengxi, 2021. "Big data and human resource management research: An integrative review and new directions for future research," Journal of Business Research, Elsevier, vol. 133(C), pages 34-50.
  5. Lucia Kureková & Miroslav Beblavý & Anna Thum-Thysen, 2015. "Using online vacancies and web surveys to analyse the labour market: a methodological inquiry," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-20, December.
  6. Norma Burow & Miriam Beblo & Denis Beninger & Melanie Schröder, 2017. "Why Do Women Favor Same-Gender Competition? Evidence from a Choice Experiment," Discussion Papers of DIW Berlin 1662, DIW Berlin, German Institute for Economic Research.
  7. Castellani, Marco, 2019. "Does culture matter for the economic performance of countries? An overview of the literature," Journal of Policy Modeling, Elsevier, vol. 41(4), pages 700-717.
  8. Andrés Vallone & Coro Chasco & Beatriz Sánchez, 2020. "Strategies to access web-enabled urban spatial data for socioeconomic research using R functions," Journal of Geographical Systems, Springer, vol. 22(2), pages 217-239, April.
  9. Egidio Farina & Colin Green & Duncan McVicar, 2020. "Zero Hours Contracts and Their Growth," British Journal of Industrial Relations, London School of Economics, vol. 58(3), pages 507-531, September.
  10. Asgari, Mahdi & Nemati, Mehdi & Zheng, Yuqing, 2018. "Nowcasting Food Stock Movement using Food Safety Related Web Search Queries," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266323, Southern Agricultural Economics Association.
  11. Shen, Dehua & Zhang, Wei & Xiong, Xiong & Li, Xiao & Zhang, Yongjie, 2016. "Trading and non-trading period Internet information flow and intraday return volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 519-524.
  12. Shen, Dehua & Liu, Lanbiao & Zhang, Yongjie, 2018. "Quantifying the cross-sectional relationship between online sentiment and the skewness of stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 928-934.
  13. repec:spo:wpmain:info:hdl:2441/qqo2oivo980taefakkgk0sv9m is not listed on IDEAS
  14. Xiong Xiong & Zhang Jin & Jin Xi & Feng Xu, 2016. "Review on Financial Innovations in Big Data Era," Journal of Systems Science and Information, De Gruyter, vol. 4(6), pages 489-504, December.
  15. Konstantinos N. Konstantakis & Despoina Paraskeuopoulou & Panayotis G. Michaelides & Efthymios G. Tsionas, 2021. "Bank deposits and Google searches in a crisis economy: Bayesian non‐linear evidence for Greece (2009–2015)," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5408-5424, October.
  16. D’Amuri, Francesco & Marcucci, Juri, 2017. "The predictive power of Google searches in forecasting US unemployment," International Journal of Forecasting, Elsevier, vol. 33(4), pages 801-816.
  17. Ratchford, Brian & Soysal, Gonca & Zentner, Alejandro & Gauri, Dinesh K., 2022. "Online and offline retailing: What we know and directions for future research," Journal of Retailing, Elsevier, vol. 98(1), pages 152-177.
  18. Shen, Dehua & Li, Xiao & Zhang, Wei, 2018. "Baidu news information flow and return volatility: Evidence for the Sequential Information Arrival Hypothesis," Economic Modelling, Elsevier, vol. 69(C), pages 127-133.
  19. Agnese Carella & Federica Ciocchetta & Valentina Michelangeli & Federico Maria Signoretti, 2020. "What can we learn about mortgage supply from online data?," Questioni di Economia e Finanza (Occasional Papers) 583, Bank of Italy, Economic Research and International Relations Area.
  20. Kureková, Lucia Mýtna & Žilin?íková, Zuzana, 2015. "Low-Skilled Jobs and Student Jobs: Employers' Preferences in Slovakia and the Czech Republic," IZA Discussion Papers 9145, Institute of Labor Economics (IZA).
  21. Zhang, Yongjie & Feng, Lina & Jin, Xi & Shen, Dehua & Xiong, Xiong & Zhang, Wei, 2014. "Internet information arrival and volatility of SME PRICE INDEX," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 70-74.
  22. repec:hal:spmain:info:hdl:2441/qqo2oivo980taefakkgk0sv9m is not listed on IDEAS
  23. Shen, Dehua & Tong, Zezheng & Goodell, John W., 2024. "Do online message boards convey cryptocurrency-specific information?," International Review of Financial Analysis, Elsevier, vol. 91(C).
  24. Lee, Chien-Chiang & Chen, Mei-Ping, 2020. "Happiness sentiments and the prediction of cross-border country exchange-traded fund returns," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
  25. Xulia González & Daniel Miles-Touya, 2018. "Price dispersion, chain heterogeneity, and search in online grocery markets," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 9(1), pages 115-139, March.
  26. Lucia Mýtna Kureková & Zuzana Žilinčíková, 2016. "Are student jobs flexible jobs? Using online data to study employers’ preferences in Slovakia," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-14, December.
  27. Arne Feddersen & Brad R. Humphreys & Brian P. Soebbing, 2018. "Sentiment Bias in National Basketball Association Betting," Journal of Sports Economics, , vol. 19(4), pages 455-472, May.
  28. Dean Fantazzini, 2014. "Nowcasting and Forecasting the Monthly Food Stamps Data in the US Using Online Search Data," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-27, November.
  29. Zeng, Qing & Cao, Jiawei & Guo, Yangli & Dong, Dayong, 2023. "The macroeconomic attention index: Evidence from China," Finance Research Letters, Elsevier, vol. 52(C).
  30. Hillen, Judith, 2018. "Web Scraping For Food Price Research," 58th Annual Conference, Kiel, Germany, September 12-14, 2018 275840, German Association of Agricultural Economists (GEWISOLA).
  31. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2021. "Real estate listings and their usefulness for hedonic regressions," Empirical Economics, Springer, vol. 61(6), pages 3239-3269, December.
  32. Carlianne Patrick & Amanda Ross & Heather Stephens, 2016. "Designing Policies to Spur Economic Growth: How Regional Scientists Can Contribute to Future Policy Development and Evaluation," Working Papers 16-04, Department of Economics, West Virginia University.
  33. Zhang, Yongjie & Zhang, Yuzhao & Shen, Dehua & Zhang, Wei, 2017. "Investor sentiment and stock returns: Evidence from provincial TV audience rating in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 288-294.
  34. Jens Foerderer, 2023. "Should we trust web-scraped data?," Papers 2308.02231, arXiv.org.
  35. Julian Hackinger, 2018. "DataGorri: a tool for automated data collection of tabular web content," Netnomics, Springer, vol. 19(1), pages 31-41, October.
  36. Julien Pascal, 2020. "Search, matching and heterogeneity [Recherche, appariement et hétérogénéité]," SciencePo Working papers Main tel-03408394, HAL.
  37. Kureková, Lucia Mýtna & Beblavy, Miroslav & Thum, Anna-Elisabeth, 2014. "Using Internet Data to Analyse the Labour Market: A Methodological Enquiry," IZA Discussion Papers 8555, Institute of Labor Economics (IZA).
  38. Blazquez, Desamparados & Domenech, Josep, 2018. "Big Data sources and methods for social and economic analyses," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 99-113.
  39. Arne Feddersen & Brad R. Humphreys & Brian P. Soebbing, 2017. "Sentiment Bias And Asset Prices: Evidence From Sports Betting Markets And Social Media," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 1119-1129, April.
  40. Alberto Cavallo & Roberto Rigobon, 2016. "The Billion Prices Project: Using Online Prices for Measurement and Research," Journal of Economic Perspectives, American Economic Association, vol. 30(2), pages 151-178, Spring.
  41. Georgios Nalbantis & Tim Pawlowski & Dennis Coates, 2017. "The Fans’ Perception of Competitive Balance and Its Impact on Willingness-to-Pay for a Single Game," Journal of Sports Economics, , vol. 18(5), pages 479-505, June.
  42. Bernd Süssmuth, 2022. "The mutual predictability of Bitcoin and web search dynamics," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 435-454, April.
  43. Li, Xiao & Shen, Dehua & Xue, Mei & Zhang, Wei, 2017. "Daily happiness and stock returns: The case of Chinese company listed in the United States," Economic Modelling, Elsevier, vol. 64(C), pages 496-501.
  44. Julien Pascal, 2020. "Search, matching and heterogeneity [Recherche, appariement et hétérogénéité]," SciencePo Working papers tel-03408394, HAL.
  45. Kureková, Lucia Mýtna & Žilin?íková, Zuzana, 2016. "What is the Value of Foreign Work Experience? Analysing Online CV Data in Slovakia," IZA Discussion Papers 9921, Institute of Labor Economics (IZA).
  46. Simionescu, Mihaela & Zimmermann, Klaus F., 2017. "Big Data and Unemployment Analysis," GLO Discussion Paper Series 81, Global Labor Organization (GLO).
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