~/talk

Outsourcing Tasks Online: Matching Supply and Demand on Peer-to-Peer Internet

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Analysis of TaskRabbit 2010–2014 uses 336 city‑month markets and a search‑and‑matching model to show markets clear mainly through elastic seller effort rather than price changes. Empirical facts: average price ≈ $60, doubling tasks → +41% matches, doubling offers → +52% matches. Estimated offer supply is highly price‑elastic (10% price rise → ~30% more offers), surplus per match ≈ $37, and flexible supply raises aggregate value by about 15% versus a fixed‑supply counterfactual. Cities differ by distance and task standardization.

AI-written summary · about

  1. 0:00Diffusion of Online Peer-to-Peer Marketplaces
  2. 3:11TaskRabbit, a Two-Sided Platform for Local Services
  3. 5:26Price
  4. 6:09Rationing
  5. 6:29Seller Effort
  6. 6:40Contribution
  7. 7:39Model of a Market for Services
  8. 8:49Seller Choice of Search Effort
  9. 10:14Market Equilibrium
  10. 10:51Comparative Statics
  11. 11:03Increase in Buyers relative to Sellers
  12. 11:37Increase in Market Size
  13. 12:18From Theory to Empirical Model
  14. 15:11Model Components
  15. 15:37Fluctuations in the Buyer to Seller Ratio
  16. 16:34Changes in Market Size
  17. 17:11Key Identifying Assumption
  18. 18:49Pricing and Matching Parameters
  19. 20:49City Differences in Match Efficiency
  20. 21:21Why City Differences? Geographic Density
  21. 24:03Why City Differences? Level of Task Standardization
  22. 24:50Utility Parameters
  23. 25:50Welfare Implications
  24. 28:11Summary
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