Michael Munger on the Sharing Economy

Episode Summary

Executive Summary: Russ Roberts and Mike Munger examine the sharing/peer-to-peer economy through Uber, Airbnb, and related apps. They argue these platforms reduce transaction costs, exploit idle capacity, and use ratings to substitute for traditional regulation, while also challenging medallion, licensing, and hotel/taxi incumbents. The conversation extends to driverless cars, which they see as a potentially transformative next step.

Main Topics: What the sharing economy is (Priority: 5/5): The hosts define the core model as web- and smartphone-based platforms that connect underused assets—cars, homes, parking spaces, pets—to people who need temporary access. Uber, ratings, and price flexibility (Priority: 5/5): Uber is discussed as a real-time matching service that locates nearby drivers, shows prices and ETAs, and uses rider/driver ratings to manage quality and trust. Regulation, licensing, and medallions (Priority: 5/5): They debate whether taxi medallions and similar licenses are legitimate property rights or rent-seeking restrictions that should not be protected when technology undermines them. Airbnb and excess housing capacity (Priority: 4/5): Airbnb is presented as a way to monetize spare rooms and capacity during peak demand, especially in expensive or event-driven housing markets. Monkey Parking and other niche platforms (Priority: 3/5): Parking-space apps, dog-sitting platforms, and car-sharing services are used to illustrate how the same logic can extend to many everyday resources. Driverless cars as the next revolution (Priority: 5/5): The discussion shifts from ride-hailing to autonomous vehicles, with speculation that driverless cars could eliminate many current costs, reduce accidents, and reshape cities.

Key Arguments: These platforms work because they lower transaction costs and make previously idle assets productive. Uber’s convenience, not just price, is a major source of its appeal: location-based matching, ETA estimates, and seamless payment improve service quality. Traditional regulation often protects incumbent rents rather than solving real externalities; medallions may be more like political privileges than true property rights. Peer-to-peer ratings and reputation systems can substitute for some state licensing and inspection functions, especially when many users contribute information. Platforms have stronger incentives to maintain quality because their brand and business depend on reputation, though they still face lemons and safety risks. Airbnb and similar services expand supply during peak periods, helping with shortages that hotels and taxis often fail to handle well. Driverless cars could multiply the gains by removing labor costs, reducing accidents, freeing rider time, shrinking parking needs, and changing urban land use. Political opposition from concentrated losers will be strong, but the speakers believe technological change usually wins over time.

Data Points: EconTalk appearances by Mike Munger: 25 - Russ Roberts jokingly notes Munger as his most frequent guest. Uber pickup estimate: within 3 minutes - Roberts describes the app telling him a nearby driver was available quickly. Uber ride rating threshold: 4.6 - A driver tells Roberts that if his rating falls below 4.6, he can no longer drive for Uber. Uber price for the described trip: $15.56 - Roberts recounts the fare shown after the ride. Chicago new taxi medallion starting price expectation: $350,000 - Munger cites an auction that expected medallions to start at this level. New York medallion value: as much as $1 million - They note that medallions in New York had sold for this amount despite market disruption. Uber valuation in venture round: $17 billion - Roberts cites a recent investment implying this value. Capital injected into Uber: a little over $1 billion - Referenced when discussing Uber’s private financing and valuation. Lives potentially saved annually by autonomous cars: 40,000 to 50,000 - Roberts and Munger discuss the safety impact of driverless vehicles. Uber fare multiplier during surge demand: up to 5x - They mention surging prices during rain or snowstorms as a controversial feature. Example surge increase: 1.15x - Roberts mentions a case where Uber warned the fare would be 15% higher than usual.

Pivotal Quotes: "It's a way of undercutting or offering a new technology that gets around something that right now is either more difficult or more expensive than it — and I'm making air quotes — should be." — Mike Munger: Munger summarizes the economic logic behind sharing-economy platforms. "It's a big increase in when people are in desperate need of a ride, a lot more people show up." — Russ Roberts: Roberts explains surge pricing as a mechanism that expands supply in bad weather or peak demand. "I think the technology wins because the people who benefit from it... The technology wins." — Mike Munger: Munger argues that concentrated incumbents usually cannot stop major innovations forever.

Implications: The discussion suggests the sharing economy is not a niche trend but a broad reorganization of ownership, access, and regulation. If autonomous vehicles mature, the effects could extend far beyond taxis, reshaping work, cities, parking, and labor markets.