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Hyunjin Kim

Personal Details

First Name:Hyunjin
Middle Name:
Last Name:Kim
Suffix:
RePEc Short-ID:pki507
[This author has chosen not to make the email address public]
https://www.kimhyunjin.com/

Affiliation

Strategy Unit
Harvard Business School
Harvard University

Cambridge, Massachusetts (United States)
http://www.hbs.edu/units/strategy/
RePEc:edi:suharus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Weijia Dai & Hyunjin Kim & Michael Luca, 2023. "Which Firms Gain from Digital Advertising? Evidence from a Field Experiment," NBER Working Papers 30925, National Bureau of Economic Research, Inc.
  2. Edward L. Glaeser & Hyunjin Kim & Michael Luca, 2018. "Measuring Gentrification: Using Yelp Data to Quantify Neighborhood Change," NBER Working Papers 24952, National Bureau of Economic Research, Inc.
  3. Edward L. Glaeser & Hyunjin Kim & Michael Luca, 2017. "Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity," Harvard Business School Working Papers 18-022, Harvard Business School, revised Oct 2017.

Articles

  1. Edward L. Glaeser & Hyunjin Kim & Michael Luca, 2018. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 77-82, May.

Chapters

  1. Edward L. Glaeser & Hyunjin Kim & Michael Luca, 2019. "Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 249-273, National Bureau of Economic Research, Inc.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Edward L. Glaeser & Hyunjin Kim & Michael Luca, 2018. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 77-82, May.

    Mentioned in:

    1. Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change (AEA Papers & Proceedings 2018) in ReplicationWiki ()

Working papers

  1. Edward L. Glaeser & Hyunjin Kim & Michael Luca, 2018. "Measuring Gentrification: Using Yelp Data to Quantify Neighborhood Change," NBER Working Papers 24952, National Bureau of Economic Research, Inc.

    Cited by:

    1. Morgan Ubeda, 2020. "Local Amenities, Commuting Costs and Income Disparities Within Cities," Working Papers 2038, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    2. Martin, Julien & Behrens, Kristian & Boualam, Brahim & Mayneris, Florian, 2018. "Gentrification and pioneer businesses," CEPR Discussion Papers 13296, C.E.P.R. Discussion Papers.
    3. Blanco, Hector & Neri, Lorenzo, 2023. "Knocking It Down and Mixing It Up: The Impact of Public Housing Regenerations," IZA Discussion Papers 15855, Institute of Labor Economics (IZA).
    4. Kristian Behrens & Julien Martin & Florian Mayneris, 2021. "Analyse de la gentrification urbaine dans l'agglomération de Montréal et regard particulier sur les secteurs traversés par la ligne rose," CIRANO Project Reports 2020rp-36, CIRANO.
    5. Ahlfeldt, Gabriel M. & Barr, Jason, 2022. "Viewing urban spatial history from tall buildings," Regional Science and Urban Economics, Elsevier, vol. 94(C).
    6. Yunmi Park & Minju Kim & Kijin Seong, 2021. "Happy neighborhoods: Investigating neighborhood conditions and sentiments of a shrinking city with Twitter data," Growth and Change, Wiley Blackwell, vol. 52(1), pages 539-566, March.
    7. Fe, Hao & Sanfelice, Viviane, 2022. "How bad is crime for business? Evidence from consumer behavior," Journal of Urban Economics, Elsevier, vol. 129(C).
    8. Glaeser, Edward L. & Luca, Michael & Moszkowski, Erica, 2023. "Gentrification and retail churn: Theory and evidence," Regional Science and Urban Economics, Elsevier, vol. 100(C).
    9. Manuel Hermosilla & Jian Ni & Haizhong Wang & Jin Zhang, 2023. "Leveraging the E-commerce footprint for the surveillance of healthcare utilization," Health Care Management Science, Springer, vol. 26(4), pages 604-625, December.

  2. Edward L. Glaeser & Hyunjin Kim & Michael Luca, 2017. "Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity," Harvard Business School Working Papers 18-022, Harvard Business School, revised Oct 2017.

    Cited by:

    1. Athey, Susan & Luca, Michael, 2018. "Economists (and Economics) in Tech Companies," Research Papers 3735, Stanford University, Graduate School of Business.
    2. Jonathan Hersh & Matthew Harding, 2018. "Big Data in economics," IZA World of Labor, Institute of Labor Economics (IZA), pages 451-451, September.
    3. 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.
    4. Bailey, Michael & Farrell, Patrick & Kuchler, Theresa & Stroebel, Johannes, 2020. "Social connectedness in urban areas," Journal of Urban Economics, Elsevier, vol. 118(C).
    5. 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.
    6. Daniel Hopp, 2021. "Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)," Papers 2106.08901, arXiv.org.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Indaco, Agustín, 2019. "From Twitter to GDP: Estimating Economic Activity From Social Media," MPRA Paper 95885, University Library of Munich, Germany.
    17. 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).
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. Qiu, Yue & Zheng, Yuchen, 2023. "Improving box office projections through sentiment analysis: Insights from regularization-based forecast combinations," Economic Modelling, Elsevier, vol. 125(C).
    24. 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.
    25. Evan Rawley & Robert Seamans, 2020. "Internal agglomeration and productivity: Evidence from microdata," Strategic Management Journal, Wiley Blackwell, vol. 41(10), pages 1770-1798, October.
    26. 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.
    27. 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.
    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.

Articles

  1. Edward L. Glaeser & Hyunjin Kim & Michael Luca, 2018. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 77-82, May.

    Cited by:

    1. Athey, Susan & Luca, Michael, 2018. "Economists (and Economics) in Tech Companies," Research Papers 3735, Stanford University, Graduate School of Business.
    2. Morgan Ubeda, 2020. "Local Amenities, Commuting Costs and Income Disparities Within Cities," Working Papers 2038, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    3. Martin, Julien & Behrens, Kristian & Boualam, Brahim & Mayneris, Florian, 2018. "Gentrification and pioneer businesses," CEPR Discussion Papers 13296, C.E.P.R. Discussion Papers.
    4. Blanco, Hector & Neri, Lorenzo, 2023. "Knocking It Down and Mixing It Up: The Impact of Public Housing Regenerations," IZA Discussion Papers 15855, Institute of Labor Economics (IZA).
    5. Breithaupt, Patrick & Kesler, Reinhold & Niebel, Thomas & Rammer, Christian, 2020. "Intangible capital indicators based on web scraping of social media," ZEW Discussion Papers 20-046, ZEW - Leibniz Centre for European Economic Research.
    6. Imryoung Jeong & Hyunjoo Yang, 2021. "Using maps to predict economic activity," Papers 2112.13850, arXiv.org, revised Apr 2022.
    7. 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.
    8. Christopher Rick & Jeehee Han & Spencer Shanholtz & Amy Ellen Schwartz, 2022. "Examining the Link Between Gentrification, Children’s Egocentric Food Environment, and Obesity," Center for Policy Research Working Papers 245, Center for Policy Research, Maxwell School, Syracuse University.
    9. Kristian Behrens & Julien Martin & Florian Mayneris, 2021. "Analyse de la gentrification urbaine dans l'agglomération de Montréal et regard particulier sur les secteurs traversés par la ligne rose," CIRANO Project Reports 2020rp-36, CIRANO.
    10. Stephan D. Whitaker, 2023. "Understanding Migration Trends to Prepare for the Post-Pandemic Future," Cleveland Fed Regional Policy Report, Federal Reserve Bank of Cleveland, issue 20230801, pages 1-32, August.
    11. Antwan Jones & Prentiss Dantzler, 2021. "Neighbourhood perceptions and residential mobility," Urban Studies, Urban Studies Journal Limited, vol. 58(9), pages 1792-1810, July.
    12. Ahlfeldt, Gabriel M. & Barr, Jason, 2022. "Viewing urban spatial history from tall buildings," Regional Science and Urban Economics, Elsevier, vol. 94(C).
    13. Yunmi Park & Minju Kim & Kijin Seong, 2021. "Happy neighborhoods: Investigating neighborhood conditions and sentiments of a shrinking city with Twitter data," Growth and Change, Wiley Blackwell, vol. 52(1), pages 539-566, March.
    14. 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.
    15. Fe, Hao & Sanfelice, Viviane, 2022. "How bad is crime for business? Evidence from consumer behavior," Journal of Urban Economics, Elsevier, vol. 129(C).
    16. Glaeser, Edward L. & Luca, Michael & Moszkowski, Erica, 2023. "Gentrification and retail churn: Theory and evidence," Regional Science and Urban Economics, Elsevier, vol. 100(C).
    17. Manuel Hermosilla & Jian Ni & Haizhong Wang & Jin Zhang, 2023. "Leveraging the E-commerce footprint for the surveillance of healthcare utilization," Health Care Management Science, Springer, vol. 26(4), pages 604-625, December.

Chapters

  1. Edward L. Glaeser & Hyunjin Kim & Michael Luca, 2019. "Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 249-273, National Bureau of Economic Research, Inc.
    See citations under working paper version above.Sorry, no citations of chapters recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-PAY: Payment Systems and Financial Technology (3) 2017-11-26 2018-09-24 2023-03-06. Author is listed
  2. NEP-URE: Urban and Real Estate Economics (2) 2017-11-26 2018-09-24. Author is listed
  3. NEP-EXP: Experimental Economics (1) 2023-03-06. Author is listed
  4. NEP-GEO: Economic Geography (1) 2017-11-26. Author is listed
  5. NEP-MAC: Macroeconomics (1) 2017-11-26. Author is listed
  6. NEP-MKT: Marketing (1) 2023-03-06. Author is listed

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