Abstract

 
 

References (43)



 


 



Information Technology, Productivity and Asset Ownership: Evidence from Taxicab Fleets


Evan Rawley


Columbia Business School - Management

Timothy Simcoe


Boston University - School of Management; NBER

February 23, 2012

US Census Bureau Center for Economic Studies Paper No. CES-WP- 09-39

Abstract:     
This paper develops a simple model that links the adoption of a productivity-enhancing technology to increased vertical integration and a less skilled workforce. We test the model’s key prediction using novel micro data on vehicle ownership patterns from the Economic Census during a period when computerized dispatching systems were first adopted by taxicab firms. Controlling for time-invariant firm-specific effects, firms increase the proportion of taxicabs under fleet-ownership by 12 percent when they adopt new computerized dispatching systems. Using increasingly stringent econometric tests, we verify that the baseline tests are indicative of a casual relationship between dispatching technology adoption and vertical integration. These findings suggest that increasing a firm’s productivity can lead to increased vertical integration, even in the absence of asset specificity.

Number of Pages in PDF File: 38

Keywords: asset ownership, productivity, information technology

JEL Classification: L22

working papers series


Download This Paper

Date posted: December 1, 2009 ; Last revised: October 1, 2012

Suggested Citation

Rawley, Evan and Simcoe, Timothy S., Information Technology, Productivity and Asset Ownership: Evidence from Taxicab Fleets (February 23, 2012). US Census Bureau Center for Economic Studies Paper No. CES-WP- 09-39. Available at SSRN: http://ssrn.com/abstract=1515694 or http://dx.doi.org/10.2139/ssrn.1515694

Contact Information

Evan Rawley (Contact Author)
Columbia Business School - Management ( email )
3022 Broadway
New York, NY 10027
United States

Timothy S. Simcoe
Boston University - School of Management ( email )
595 Commonwealth Avenue
Boston, MA 02215
United States
NBER ( email )
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 381
Downloads: 41
References:  43

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo4 in 0.437 seconds