Congratulations to the authors of this fine paper, published in Economic Inquiry.
Abstract
"New, “big data” sources allow measurement of city characteristics and outcome variables at higher collection frequencies and more granular geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big urban data has the most value for the study of cities when it allows measurement of the previously opaque, or when it can be coupled with exogenous shocks to people or place. We describe a number of new urban data sources and illustrate how they can be used to improve the study and function of cities. We first show how Google Street View images can be used to predict income in New York City, suggesting that similar imagery data can be used to map wealth and poverty in previously unmeasured areas of the developing world. We then discuss how survey techniques can be improved to better measure willingness to pay for urban amenities. Finally, we explain how Internet data is being used to improve the quality of city services."
The paper's publication history says something about publishing, on line versus in print, at least in Economics.
2018 Best EI Article Award Announced!
LIMITATIONS OF IMPROVED MEASURES OF URBAN LIFE -- Volume
56, Issue 1, January 2018, Pages: 114-137
by Edward L. Glaeser, Scott Duke Kominers, Michael Luca, and Nikhil Naik
by Edward L. Glaeser, Scott Duke Kominers, Michael Luca, and Nikhil Naik
Abstract
"New, “big data” sources allow measurement of city characteristics and outcome variables at higher collection frequencies and more granular geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big urban data has the most value for the study of cities when it allows measurement of the previously opaque, or when it can be coupled with exogenous shocks to people or place. We describe a number of new urban data sources and illustrate how they can be used to improve the study and function of cities. We first show how Google Street View images can be used to predict income in New York City, suggesting that similar imagery data can be used to map wealth and poverty in previously unmeasured areas of the developing world. We then discuss how survey techniques can be improved to better measure willingness to pay for urban amenities. Finally, we explain how Internet data is being used to improve the quality of city services."
The paper's publication history says something about publishing, on line versus in print, at least in Economics.
Publication History
- 27 November 2017
- 12 July 2016
- 23 February 2016
- 23 November 2015
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