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Show Results For
- All HBS Web
(7,062)
- News (1,242)
- Research (4,360)
- Events (108)
- Multimedia (70)
- Faculty Publications (3,036)
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- August 2005 (Revised April 2008)
- Teaching Note
GuestFirst Hotel (B): Statistics Review with Data Desk (TN)
By: Frances X. Frei
Presents an overview of the statistical analysis covered in the case discussion. View Details
- Article
The Asymmetric Experience of Positive and Negative Economic Growth: Global Evidence Using Subjective Well-being Data
By: Jan-Emmanuel De Neve, George Ward, Femke De Keulenaer, Bert Van Landeghem, Georgios Kavetsos and Michael I. Norton
Are individuals more sensitive to losses than gains in terms of economic growth? We find that measures of subjective well-being are more than twice as sensitive to negative as compared to positive economic growth. We use Gallup World Poll data from over 150 countries,... View Details
De Neve, Jan-Emmanuel, George Ward, Femke De Keulenaer, Bert Van Landeghem, Georgios Kavetsos, and Michael I. Norton. "The Asymmetric Experience of Positive and Negative Economic Growth: Global Evidence Using Subjective Well-being Data." Review of Economics and Statistics 100, no. 2 (May 2018): 362–375.
- 23 Sep 2017
- Working Paper Summaries
Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity at Scale
- 1998
- Working Paper
Some Evidence on the Optimal Welfare State Based on Subjective Data
By: Rafael Di Tella and Robert MacCulloch
It is often difficult to evaluate all the costs and benefits of the welfare state. This paper suggests an alternative approach based on surveys of citizen satisfaction with welfare programs. In the first part of the paper we estimate the level of unemployment benefits... View Details
- January 2018
- Article
Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life
By: Edward L. Glaeser, Scott Duke Kominers, Michael Luca and Nikhil Naik
New, "big" data sources allow measurement of city characteristics and outcome variables at higher frequencies and finer geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big data has the most value for... View Details
Glaeser, Edward L., Scott Duke Kominers, Michael Luca, and Nikhil Naik. "Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life." Economic Inquiry 56, no. 1 (January 2018): 114–137.
- September 2022
- Article
House Prices, Home Equity and Entrepreneurship: Evidence from U.S. Census Micro Data
By: Sari Pekkala Kerr, William R. Kerr and Ramana Nanda
During 1992-2007, house price growth is strongly correlated with local entrepreneurship. We show with Census Bureau data that most of this entry is related to construction and real estate; these entrants tend to be small and short-lived. Using a 1998 Texas reform that... View Details
Keywords: House Prices; Collateral Channel; Entry; Entrepreneurship; Housing; Real Estate Industry; Construction Industry
Kerr, Sari Pekkala, William R. Kerr, and Ramana Nanda. "House Prices, Home Equity and Entrepreneurship: Evidence from U.S. Census Micro Data." Journal of Monetary Economics 130 (September 2022): 103–119.
- May–June 2018
- Article
Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations
By: Joel Goh, Mohsen Bayati, Stefanos A. Zenios, Sundeep Singh and David Moore
Cost-effectiveness studies of medical innovations often suffer from data inadequacy. When Markov chains are used as a modeling framework for such studies, this data inadequacy can manifest itself as imprecision in the elements of the transition matrix. In this paper,... View Details
Keywords: Markov Chains; Cost Effectiveness; Medical Innovations; Colorectal Cancer; Health Care and Treatment; Cost vs Benefits; Innovation and Invention; Mathematical Methods; Health Industry
Goh, Joel, Mohsen Bayati, Stefanos A. Zenios, Sundeep Singh, and David Moore. "Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations." Operations Research 66, no. 3 (May–June 2018): 697–715. (Winner, 2014 INFORMS Health Applications Society Pierskalla Award & Finalist, 2014 INFORMS George E. Nicholson student paper competition.)
- Article
Considerations of Fairness and Strategy: Experimental Data from Sequential Games
By: V. Prasnikar and A. E. Roth
Prasnikar, V., and A. E. Roth. "Considerations of Fairness and Strategy: Experimental Data from Sequential Games." Quarterly Journal of Economics 107, no. 3 (August 1992): 865–888.
- July 2015 (Revised October 2017)
- Case
Podium Data: Harnessing the Power of Big Data Analytics
By: Lynda M. Applegate, Karim R. Lakhani and Nicole Bucala
Applegate, Lynda M., Karim R. Lakhani, and Nicole Bucala. "Podium Data: Harnessing the Power of Big Data Analytics." Harvard Business School Case 816-007, July 2015. (Revised October 2017.)
- May 1986
- Case
Data Administration in Citibank Brazil (A): The Competitive Advantage
By: Shoshana Zuboff
Keywords: Banks and Banking; Information Management; Competitive Advantage; Banking Industry; Brazil
Zuboff, Shoshana. "Data Administration in Citibank Brazil (A): The Competitive Advantage." Harvard Business School Case 486-109, May 1986.
- 27 Feb 2023
- Research & Ideas
How One Late Employee Can Hurt Your Business: Data from 25 Million Timecards
authors reach their conclusions by correlating the timesheet records to a host of other data points, including daily store sales, scheduling practices, store traffic, and weather. In conducting their analyses, the researchers created a... View Details
- April 1988
- Article
Nihon Kigyou no Kokusai Teikei Senryaku: Data ni Motozuku Genjou Bunseki (International Collaboration Strategy of Japanese Firms: New Findings from Data Analysis)
By: Hirotaka Takeuchi and Hiroshi Kobayashi
Takeuchi, Hirotaka, and Hiroshi Kobayashi. "Nihon Kigyou no Kokusai Teikei Senryaku: Data ni Motozuku Genjou Bunseki (International Collaboration Strategy of Japanese Firms: New Findings from Data Analysis)." Hitotsubashi bijinesu rebyū [Hitotsubashi Business Review] (April 1988).
- 2022
- Working Paper
House Prices, Home Equity and Entrepreneurship: Evidence from U.S. Census Micro Data
By: Sari Pekkala Kerr, William R. Kerr and Ramana Nanda
During 1992-2007, house price growth is strongly correlated with local entrepreneurship. We show with Census Bureau data that most of this entry is related to construction and real estate; these entrants tend to be small and short-lived. Using a 1998 Texas reform that... View Details
Kerr, Sari Pekkala, William R. Kerr, and Ramana Nanda. "House Prices, Home Equity and Entrepreneurship: Evidence from U.S. Census Micro Data." Harvard Business School Working Paper, No. 15-069, February 2015. (Revised June 2022.)
- September 1985 (Revised August 1992)
- Background Note
Note on Marketing Data Diskettes and MAT (Marketing Analytical Tools)
Kaufmann, Patrick J. "Note on Marketing Data Diskettes and MAT (Marketing Analytical Tools)." Harvard Business School Background Note 586-056, September 1985. (Revised August 1992.)
- 01 Nov 2018
- Working Paper Summaries
Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning
- Article
Measurement of Multiple Sites in Service Firms with Data Envelopment Analysis
By: R. Metters, F. Frei and V. Vargas
Metters, R., F. Frei, and V. Vargas. "Measurement of Multiple Sites in Service Firms with Data Envelopment Analysis." Production and Operations Management 8, no. 3 (Fall 1999): 264–281.
- August 2001
- Article
Technology as a Complex Adaptive System: Evidence from Patent Data
Fleming, L., and O. Sorenson. "Technology as a Complex Adaptive System: Evidence from Patent Data." Research Policy 30, no. 7 (August 2001).
- 2020
- Book
Handbook on Using Administrative Data for Research and Evidence-based Policy
By: Shawn Cole, Iqbal Dhaliwal, Anja Sautmann and Lars Vilhuber
Cole, Shawn, Iqbal Dhaliwal, Anja Sautmann, and Lars Vilhuber, eds. Handbook on Using Administrative Data for Research and Evidence-based Policy. Cambridge, MA: Abdul Latif Jameel Poverty Action Lab (J-PAL), 2020.
- Article
Mining Big Data to Extract Patterns and Predict Real-Life Outcomes
By: Michal Kosinki, Yilun Wang, Himabindu Lakkaraju and Jure Leskovec
Kosinki, Michal, Yilun Wang, Himabindu Lakkaraju, and Jure Leskovec. "Mining Big Data to Extract Patterns and Predict Real-Life Outcomes." Psychological Methods 21, no. 4 (December 2016): 493–506.