scispace - formally typeset
Open AccessJournal ArticleDOI

Owning, Using and Renting: Some Simple Economics of the "Sharing Economy"

Reads0
Chats0
TLDR
In this article, a survey of consumers broadly supports the modeling assumptions employed, for example, ownership is determined by individuals' forward-looking assessments of planned usage, and the analysis examines bringing-to-market costs such as labor costs and transaction costs, and considers the operating platform's pricing problem.
Abstract
New Internet-based markets enable consumer/owners to rent out their durable goods when not using them. Such markets are modeled to determine ownership, rental rates, quantities, and surplus generated. Both the short run, before consumers can revise their ownership decisions, and the long run, in which they can, are examined to assess how these markets change ownership and consumption. The analysis examines bringing-to-market costs, such as labor costs and transaction costs, and considers the operating platform's pricing problem. A survey of consumers broadly supports the modeling assumptions employed. For example, ownership is determined by individuals' forward-looking assessments of planned usage.

read more

Content maybe subject to copyright    Report

NBER WORKING PAPER SERIES
OWNING, USING AND RENTING:
SOME SIMPLE ECONOMICS OF THE "SHARING ECONOMY"
John J. Horton
Richard J. Zeckhauser
Working Paper 22029
http://www.nber.org/papers/w22029
NATIONAL BUREAU OF ECONOMIC RESEARCH
1050 Massachusetts Avenue
Cambridge, MA 02138
February 2016
Thanks to Andrey Fradkin, Ramesh Johari, Arun Sundararajan, Samuel Fraiberger, Hal Varian and
Joe Golden for helpful discussions and comments. The views expressed herein are those of the authors
and do not necessarily reflect the views of the National Bureau of Economic Research. Author contact
information, datasets and code are currently or will be available at http://www.john-joseph-horton.com/
At least one co-author has disclosed a financial relationship of potential relevance for this research.
Further information is available online at http://www.nber.org/papers/w22029.ack
NBER working papers are circulated for discussion and comment purposes. They have not been peer-
reviewed or been subject to the review by the NBER Board of Directors that accompanies official
NBER publications.
© 2016 by John J. Horton and Richard J. Zeckhauser. All rights reserved. Short sections of text, not
to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including
© notice, is given to the source.

Owning, Using and Renting: Some Simple Economics of the "Sharing Economy"
John J. Horton and Richard J. Zeckhauser
NBER Working Paper No. 22029
February 2016
JEL No. D23,D47,L1
ABSTRACT
New Internet-based markets enable consumer/owners to rent out their durable goods when not using
them. Such markets are modeled to determine ownership, rental rates, quantities, and surplus generated.
Both the short run, before consumers can revise their ownership decisions, and the long run, in which
they can, are examined to assess how these markets change ownership and consumption. The analysis
examines bringing-to-market costs, such as labor costs and transaction costs, and considers the operating
platform’s pricing problem. A survey of consumers broadly supports the modeling assumptions employed.
For example, ownership is determined by individuals’ forward-looking assessments of planned usage.
John J. Horton
Leonard N. Stern School of Business
Kaufman Management Center
44 West Fourth Street, 8-81
New York, NY 10012
john.horton@stern.nyu.edu
Richard J. Zeckhauser
John F. Kennedy School of Government
Harvard University
79 John F. Kennedy Street
Cambridge, MA 02138
and NBER
richard_zeckhauser@harvard.edu

Owning, Using and Renting:
Some Simple Economics of the “Sharing Economy”
John J. Horton
Leonard N. Stern School of Business
New York University
*
Richard J. Zeckhauser
Har vard Kennedy School
Har vard University
February 12, 2016
Abstract
New Internet-based markets enable consumer/owners to rent out their durable goods when not us-
ing them. Such markets are modeled to determine ownership, rental rates, quantities, and surplus
generated. Both the short run, before consumers can revise their ownership decisions, and the long
run, i n which they can, are examined to assess how these markets change ownership and consump-
tion. The analysis examines bri nging-to-market costs, such as labor costs and transaction costs, and
considers the operating platforms pricing problem. A survey of consumers broadly supports the
modeling assumptions employed. For example, ownership is determined by individuals forward-
looking assessments of planned usage.
JEL L1, D23, D47
Keywords: Sharing economy; peer-to-peer markets; rentals; Airbnb; Uber; bringing-to-market costs;
transaction costs
1 Introduction
In traditional rental markets, owners hold assets to rent them out. In recent years, technology startup
firms have created a new kind of rental market, in which owners sometimes use their assets for personal
consumption and sometimes rent them out. Such markets are referred to as peer-to-peer or shari ng
economy” markets. To be sure, some renting by consumer-owners has long existed, but it was largely
confined to expensive, infrequently used goods, such as vacation homes and pleasure boats, usually
with longer duration rental periods. More often, consumer-owner goods were shared among family and
friends, commonly without explicit payment. In contrast, these peer-to-peer (P2P) rental markets are
open markets, and the good is shared in exchange for payment.
A prominent example of a P2P rental market i s Airbnb, which enables individuals to rent out spare
bedrooms, apartments, or even entire homes. Airbnb and platforms like it have been heralded by many,
*
Author contact information, datasets and code are currently or will be available at http://www.john-joseph-horton.com/
Thanks to Andrey Fradkin, Ramesh Johari, Arun Sundararajan, Samuel Fraiberger, Hal Varian and Joe Golden for helpful dis-
cussions and comments.
1

as they promise to expand access to goods, diversify individual consumption, bolster efficiency by in-
creasing asset utilization, and provide income to owners (
Sundararajan, 2013; Edelman and G eradin,
2015; Botsman and Rogers, 2010). The business interest in these platforms has been intense; Airbnb
alone has attracted nearly $2.4 billion in venture capital investment and was valued at $25.5 billi on dur-
ing their most recent funding round.
1
Companies organizing sharing markets have also attracted policy
interest, much of it negative (
Slee, 2015; Malhotra and Van Alstyne, 2014; Avital et al., 2015).
Critics charge that the primary competitive advantage of these platforms is their ability to duck costly
regulations—regulations that protect third-parties.
2
However, the counter-argument is often made that
existing regu lations were designed to solve market problems that these sharing economy platforms solve
in an innovative fashion, primarily with better information provision and reputation systems (Koopman
et al.
, 2014), thereby making top-down regulation unnecessary. A better understanding of these markets,
and progress in resolving this policy debate, requires elucidating what economic problem these markets
address, why they are emerging now, and what their properties are likely to be in both the short- and
long-runs. This paper seeks to provide that elucidation.
Our first major question is why P2P rental markets only became a force in the 21st century. The eco-
nomic problem P2P rental markets are able to solve—under-utilization of durable goods—is hardly new.
We argue that technological advances, such as the mass adoption of smartphones and the falling cost
and rising capabilities of the Internet, while clearly important, only provide part of the story. P2P rental
markets rely heavily on the hard-won industry and academic exper ience in the design and management
of online marketplaces. In particular, recommender systems and reputation systems, which emerged
during the early days of electronic commerce, are central to the function of P2P rental markets. The
knowledge so conveyed allows P2P rental platforms to overcome—or at least substantially ameliorate—
market problems such as moral hazard and adverse selection. We develop this argument in more depth
and point out relevant works from the literature.
Our second major question i s what are the economic properties of P2P rental markets. For exam-
ple, what determines the rental rate and the quantity exchanged in a P2P rental market? How much
total surplus is “unlocked by the P2P rental market, and how is it distributed? How does the short-run
situation—where existing owners rent to non-owners—differ from the long run in which owners and
non-owners alike can revise their ownership decisions in light of the presence of a P2P rental market?
Does overall ownership increase or decrease, and who owns what goods in the new equilibrium? When
1
http://www.crunchbase.com/organization/airbnb; Uber, which also has a substantial P2P rental market (albeit with a sub-
stantial labor component) was valued at $62.5 billion in their last funding round. http://www.wired.com/2015/12/airbnb-
confirms-1-5-billion-funding-round-now-valued-at-25-5-billion/.
2
For example, Dean Baker, in an opinion piece for the Guardian characterizes Airbnb and Uber as being primar il y based on
evading regulations and breaking the law.” Dont buy the sharing economy hype: Airbnb and Uber are facilitating rip-offs.,
The Guardian, May 27th, 2014. Access online on January 19th, 201 6. http://www.theguardian.com/commentisfree/2014/
may/27/airbnb-uber-taxes-regulation. See
Horton (2014b) for a discussion of the externalities imposed by Airbnb-style
subletting in rented apartments. Edelman and Geradin (2015) discuss both the promised efficiencies of sharing economy”
platforms as well as the regulatory issues they raise. Cannon and Summers (2014) offer a playbook for sharing economy com-
panies to win over regulators.
2

there are substantial bringing-to-market costs (such as labor, excess depreciation, and transaction costs),
who bears them, and how does it affect the short- and long-run equilibria?
To address these questions, we develop a simple model in which consumers initially decide w hether
to purchase a good based on their expected usage. We consider a case where there are owners and non-
owners, with the owners using the good less than 100% of the time and non-owners, while not purchasing
the good, would use it some of the time if they did own it.
3
Some technological/entrepreneurial inno-
vation then creates a P2P rental market that allows owners to rent their unused capacity to non-owners.
For clarity, we first assume that owners face no bringing-to-market (BTM) costs (i.e., no depreciation,
labor or transaction costs from rentals).
After the P2P rental market emerges, owners and non-owners use the good as if they were renting the
good at the market-clearing rental rate. Renters do face the rental rate, while for owners, the possibility
of rental creates a new opportunity cost for their own usage. The rental rate is increasing in the valuation
of the owners, which reduces supply, and the valuation of the renters, which increases demand. The
short-run rental market does not necessarily clear: if pre-P2P rental unused capacity exceeds demand,
a glut results. In practice, the inherent costs of bringing excess capacity to the market assures an above
zero price floor.
In addition to the short run, we consider a long run where owners and renters alike can revise their
ownership decisions. We find that if the short-run cost to rent the good 100% of the time is below the
purchase price, then ownership is less attractive. This will reduce purchase demand for the product. In
the long-run P2P rental market equilibrium, the purchase price equals the rental rate (when normalizing
the life of the good to 1). Owners and renters receive the same utility at the margin, thereby decoupling
individual preferences from ownership. The model offers an intuitive test for whether total ownership
will decrease in the long ru n: ownership decreases if the short-run rental rate is below the purchase price.
Surplus increases in both the short- and long-run P2P rental market equilibria relative to the pre-
sharing status quo. Although owners have less consumption, they are more than compensated with
rental i ncome that exceeds their utility loss. The greatest gains in surplus are obtained when original
non-owners value the good nearly as highly as owners, suggesting that goods where income (rather than
taste or planned usage) explains ownership could offer the greatest increase in surplus. The existence of
a P2P rental market allows for a higher maximum price in the product market, as it can generate positive
demand for a good at prices for which even high-types would not buy without the possibility of rental.
When we assume that owners do face BTM costs, the model predictions change in several important
ways. If BTM costs are sufficiently high, no P2P rental market can exist in the short run. If the market
can exist, the BTM costs raise the rental rate and lower the quantity of the good transacted in the market,
in the both the long run and short run. However, BTM costs—being the equivalent of a per-unit sales
3
While we assume a purchase price that splits consumers into owners and non-owners, other equilibria are possible, such as
one where everyone owns the good. For a given set of consumer valuations, there is a range of product market prices that can
support a short-run P2P rental market. To support a P2P rental market, the purchase price of the good must be low enough that
there is a pool of owners, but not so low that everyone with any usage demand for the good already owns the good. Of course,
in the long-run ownership decisions can be revised.
3

Citations
More filters
Journal ArticleDOI

The Battle for Homes: How Does Home Sharing Disrupt Local Residential Markets?

- 01 Dec 2022 - 
TL;DR: Xie et al. as discussed by the authors leveraged a unique quasi-experiment on Airbnb and found that the policy reduced rents and home values by about 3% and did not affect the price-to-rent ratio.
Journal ArticleDOI

Sharing economy of electric vehicle private charge posts

TL;DR: In this paper, the authors examined the impacts of post sharing on the EV charging market and established game theory models on consumer choices among private, public, and shared options, and provided supporting evidence for policy-makers to promote private charge post sharing, especially with certain consumer subsidization at a reasonable level.
Journal ArticleDOI

Manufacturer's product line selling strategy and add-on policy in product sharing

TL;DR: In this paper , the authors investigate the manufacturer's product line selling strategies: either the manufacturer sells low quality products and rents high quality products (i.e., the LH product line), or the manufacturer sold high-quality products and rented low-quality items (e.g., the HL product line).
Journal ArticleDOI

The Limits of Centralized Pricing in Online Marketplaces and the Value of User Control

TL;DR: Weintraub et al. as mentioned in this paper report experimental and quasi-experimental evidence from a "sharing economy" marketplace that transitioned from decentralized to centralized pricing, highlighting the challenges of implementing centralized pricing and assessing its welfare effects.
Journal ArticleDOI

The sharing economy and collaborative consumption: Strategic issues and global entrepreneurial opportunities

TL;DR: In this article , the authors analyze and discuss the topics of sharing economy and collaborative consumption within the domains of global entrepreneurial opportunities, strategic issues, and emerging online businesses, and provide a research agenda and managerial implications of this timely discussion that continues to grow in international entrepreneurship.
References
More filters
Journal ArticleDOI

Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

TL;DR: This paper presents an overview of the field of recommender systems and describes the current generation of recommendation methods that are usually classified into the following three main categories: content-based, collaborative, and hybrid recommendation approaches.
Journal ArticleDOI

Recommender systems

TL;DR: This special section includes descriptions of five recommender systems, which provide recommendations as inputs, which the system then aggregates and directs to appropriate recipients, and which combine evaluations with content analysis.
Journal ArticleDOI

Platform competition in two‐sided markets

TL;DR: In this paper, the authors build a model of platform competition with two-sided markets and reveal the determinants of price allocation and end-user surplus for different governance structures (profit-maximizing platforms and not-for-profit joint undertakings), and compare the outcomes with those under an integrated monopolist and a Ramsey planner.
Journal ArticleDOI

Probable Inference, the Law of Succession, and Statistical Inference

TL;DR: In this article, Probable Inference, the Law of Succession, and Statistical Inference are discussed, with a focus on the law of succession in probabilistic inference.
Related Papers (5)
Frequently Asked Questions (14)
Q1. What contributions have the authors mentioned in the paper "Nber working paper series owning, using and renting: some simple economics of the "SHARING ECONOMY"" ?

Both the short run, before consumers can revise their ownership decisions, and the long run, in which they can, are examined to assess how these markets change ownership and consumption. The analysis examines bringing-to-market costs, such as labor costs and transaction costs, and considers the operating platform ’ s pricing problem. 

Given the energy and vision of entrepreneurs, new developments in both technology and the effective communication of information, P2P rental markets have the potential to transform additional markets. 

The maturation and increasing penetration of the Internet and the proliferation of smartphones (with high-resolution digital cameras) were the technological shocks that made some of these P2P rental markets feasible. 

On the ride-sharing side, there are several signs that Uber is securing market share at the expense of existing taxi firms, such as falling medallion prices and notable bankruptcies. 

The authors find that if the short-run cost to rent the good 100% of the time is below the purchase price, then ownership is less attractive. 

Goods that are used during special occasions like weddings, celebrations, and vacations show the highest rates of rental and lowest rates of ownership, e.g., tuxedos, vacation homes, jet ski, tuxedos, canoes, and bouncy castles. 

Some obvious candidates include examining whether the emergence of P2P rental markets increases access by non-owners, change ownership decisions, and affects rental rates. 

Goods for which it is easy to predict when they will be needed (perhaps because it is easy for the owner to choose when to use the good with little loss in utility) would be easier to rent (or lend out). 

the platform can always increase revenue by lowering BTM costs, as it can simply increase its own fee accordingly, keeping the rental rate and transaction volume unchanged (but making more revenue on each unit transacted). 

The only goods where a larger fraction of respondents cited income rather than usage were high-end headphones and vacation homes. 

The coefficient on the estimated usage regressor in Column (1) implies that a doubling of expected usage for some good—say using a BBQ grill two hours a week instead of one hour—is associated with about a 2.5 percentage point increase in the probability of ownership. 

The condition is that ownership will increase in the long run when the short-run rental rate was above the purchase price, or that rSR > p. 

The loss in utility for the high-type owners due to reduced consumption is∆vH = [ 2αH (αH − r /2)− (αH − r /2) 2 ]︸ ︷︷ ︸New−[ α2H ] ︸ ︷︷ ︸Old= −r 24 . (7)As the authors would expect, the greater the rental rate, the greater the loss in this consumption utility, as a higher rental rate encourages owners to consume less. 

Product demand in the long run is just the fraction of consumers owning the good, orD1(p) = fOW N= θαH + (1−θ)αL −p/2. (21)Before the P2P rental market emerged, there were “kinks” in the product market demand curve at α2H and α2L .