IDEAS home Printed from https://ideas.repec.org/r/nbr/nberch/14276.html
   My bibliography  Save this item

Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity

In: Big Data for Twenty-First-Century Economic Statistics

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Josh Matti, 2020. "Reaching for the Stars: Spatial Competition and Consumer Reviews," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 48(3), pages 339-353, September.
  2. Susan Athey & Michael Luca, 2019. "Economists (and Economics) in Tech Companies," Journal of Economic Perspectives, American Economic Association, vol. 33(1), pages 209-230, Winter.
  3. Qiu, Yue & Zheng, Yuchen, 2023. "Improving box office projections through sentiment analysis: Insights from regularization-based forecast combinations," Economic Modelling, Elsevier, vol. 125(C).
  4. Jonathan Hersh & Matthew Harding, 2018. "Big Data in economics," IZA World of Labor, Institute of Labor Economics (IZA), pages 451-451, September.
  5. Gallin, Joshua & Molloy, Raven & Nielsen, Eric & Smith, Paul & Sommer, Kamila, 2021. "Measuring aggregate housing wealth: New insights from machine learning ☆," Journal of Housing Economics, Elsevier, vol. 51(C).
  6. Soraya SEDKAOUI & Rafika Benaichouba, 2019. "How data analytics drive sharing economy business models?," Proceedings of International Academic Conferences 9911754, International Institute of Social and Economic Sciences.
  7. Bailey, Michael & Farrell, Patrick & Kuchler, Theresa & Stroebel, Johannes, 2020. "Social connectedness in urban areas," Journal of Urban Economics, Elsevier, vol. 118(C).
  8. Elliot Anenberg & Chun Kuang & Edward Kung, 2022. "Social learning and local consumption amenities: Evidence from Yelp," Journal of Industrial Economics, Wiley Blackwell, vol. 70(2), pages 294-322, June.
  9. 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.
  10. Olson, Alex & Calderon-Figueroa, Fernando & Bidian, Olimpia & Silver, Daniel & Sanner, Scott, 2020. "Reading the city through its neighbourhoods: Deep text embeddings of Yelp reviews as a basis for determining similarity and change," SocArXiv 8jbvg, Center for Open Science.
  11. Brad Humphreys & Josh Matti, 2018. "The Spatial Distribution of Urban Consumer Service Firms: Evidence from Yelp Reviews," Working Papers 18-03, Department of Economics, West Virginia University.
  12. Dominik Gutt & Philipp Herrmann & Mohammad S. Rahman, 2019. "Crowd-Driven Competitive Intelligence: Understanding the Relationship Between Local Market Competition and Online Rating Distributions," Information Systems Research, INFORMS, vol. 30(3), pages 980-994, September.
  13. Mohammed Alyakoob & Mohammad S. Rahman, 2022. "Shared Prosperity (or Lack Thereof) in the Sharing Economy," Information Systems Research, INFORMS, vol. 33(2), pages 638-658, June.
  14. Daniel Hopp, 2021. "Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)," Papers 2106.08901, arXiv.org.
  15. Ron Tidhar & Kathleen M. Eisenhardt, 2020. "Get rich or die trying… finding revenue model fit using machine learning and multiple cases," Strategic Management Journal, Wiley Blackwell, vol. 41(7), pages 1245-1273, July.
  16. Evan Rawley & Robert Seamans, 2020. "Internal agglomeration and productivity: Evidence from microdata," Strategic Management Journal, Wiley Blackwell, vol. 41(10), pages 1770-1798, October.
  17. Dominik Gutt & Philipp Herrmann & Mohammad S. Rahman, 2018. "Crowd-Driven Competitive Intelligence: Understanding the Relationship Between Local Market Competition and Online Rating Distributions," Working Papers Dissertations 41, Paderborn University, Faculty of Business Administration and Economics.
  18. Andini, Monica & Boldrini, Michela & Ciani, Emanuele & de Blasio, Guido & D'Ignazio, Alessio & Paladini, Andrea, 2022. "Machine learning in the service of policy targeting: The case of public credit guarantees," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 434-475.
  19. Xiaofan Liang & Clio Andris, 2022. "Measuring McCities: Landscapes of chain and independent restaurants in the United States," Environment and Planning B, , vol. 49(2), pages 585-602, February.
  20. Joel Alcedo & Alberto Cavallo & Bricklin Dwyer & Prachi Mishra & Antonio Spilimbergo, 2022. "Back to Trend: COVID Effects on E-commerce in 47 Countries," NBER Working Papers 29729, National Bureau of Economic Research, Inc.
  21. Schintler, Laurie A. & Fischer, Manfred M., 2018. "Big Data and Regional Science: Opportunities, Challenges, and Directions for Future Research," Working Papers in Regional Science 2018/02, WU Vienna University of Economics and Business.
  22. Thackway, William & Ng, Matthew Kok Ming & Lee, Chyi Lin & Pettit, Christopher, 2021. "Building a predictive machine learning model of gentrification in Sydney," SocArXiv hkc96, Center for Open Science.
  23. Leonardo Fabio Morales & Carlos Ospino & Nicole Amaral, 2021. "Online Vacancies and its Role in Labor Market Performance," Borradores de Economia 1174, Banco de la Republica de Colombia.
  24. Gabriel E. Kreindler & Yuhei Miyauchi, 2019. "Measuring Commuting and Economic Activity inside Cities with Cell Phone Records," Boston University - Department of Economics - Working Papers Series WP2020-006, Boston University - Department of Economics, revised Apr 2020.
  25. Timothy R Wojan & Timothy F Slaper, 2020. "Are the problem spaces of economic actors increasingly virtual? What geo-located web activity might tell us about economic dynamism," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-22, September.
  26. Indaco, Agustín, 2020. "From twitter to GDP: Estimating economic activity from social media," Regional Science and Urban Economics, Elsevier, vol. 85(C).
  27. Silver, Daniel & Silva, Thiago H, 2021. "Complex Causal Structures of Neighbourhood Change: Evidence From a Functionalist Model and Yelp Data," SocArXiv wprf8, Center for Open Science.
  28. Alexander Cardazzi & Robert A. Lawson, 2023. "Economic freedom and one‐way truck rental prices: An empirical note," American Journal of Economics and Sociology, Wiley Blackwell, vol. 82(4), pages 313-318, July.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.