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We study how and why these two features make the market more efficient; and explore how alternate pricing and matching rules can improve outcomes further. To this end, we develop a structural model of the ridesharing market with four components: (1) dynamically optimizing drivers who make entry, exit and search decisions; (2) stochastic demand; (3) surge pricing rule and (4) a matching technology. Relative to our benchmark model, surge pricing generates large gains for all agents; primarily during late nights. This is driven by the role surge plays in inducing drivers to enter the market. In contrast, centralized matching reduces match frictions and increases surplus for consumers, drivers, and the ridesharing platform, irrespective of the time of the day. We then show that a simple, more flexible pricing rule can generate even larger welfare gains for all agents. Our results highlight how and why centralized matching and surge pricing are able to make the market more efficient. We conclude by drawing policy implications for improving the competitiveness between taxis and ridesharing platforms.
Trade, Development and Political Economy takes fundamental issues in trade and development policy and subjects them to well-based economic analysis in a form that is easily accessible to the non-specialist. Distinguished contributors address some of the following questions: Are critics of outward-orientated development wrong? What caused the financial crisis of East Asia? Who supports trade and aid in the US? And, what are the conditions needed to promote growth? They also look forward to what trade policies and agreements will be needed in the future.
These essays by the author of The Political Economy of Growth and co-author of Monopoly Capital cover the working range of a strong and original mind. They are as diverse as his well-known discussion of Marxism and psychoanalysis, and his expert handling of the politics and economics of development.