trends of prices - and various buyers and sellers’
characteristics – such as the income and occupation
of the buyers/sellers as well as their social perception
of homeownership - on the magnitude of the
endowment effect (Bao & Gong, 2016).
To better simulate the realities of the housing
market, the researchers created a between subject
study by splitting the participants into roughly equal
groups of buyers and sellers, and to control for
confounding variables, both groups share similar age
and gender characteristics. Following this, interviews
are conducted with individual participants through
collecting their answers to a bi-partite questionnaire.
The first part of the questionnaire focuses on
recording important characteristics of the buyers and
sellers as quantitative dichotomous variables (either
recorded as 0 or 1 corresponding to yes/no to relevant
questions). Several variables of note are ‘income’ –
whether or not the participants’ monthly income is
higher than the average disposable level in Beijing;
‘occupation’ – whether or not the participant works in
the private sector. While the variables of ‘symbol’ –
notion of homeownership as symbol of success - and
‘importance’ – significance of the notion to the
participants. The second part of the questionnaire
provide both buyers and sellers with the imaginary
scenario of trading an imaginary housing property
without consideration to the constraints of their
personal finances and are surveyed of their respective
WTA and WTP prices given different information on
the property. Both buyers and sellers are first given
an evaluation of the current market price of the
property, and then through providing information on
the price of the same property four years and two
years ago, the researchers attempts to establish the
market trend of this property over the past four years
– up-market scenario establish when the price is
observed to rise during the period and conversely
down-market scenario is observed when the price
falls. Eventually when the market trend is established,
the final set of WTA-WTP prices between the up-
market and down-market scenarios are compared
against one another. Moreover, the effort in providing
the participants with multiple scenarios was also a
conscious attempt to train them to acquire more
market experience to mitigate the confounding
impact of market inexperience on the results.
Given this procedure, the researchers first ran a
hypothesis test on the sample mean WTA and WTP
prices and a significant difference was found pointing
to the presence of the endowment effect. It is also
observed that the difference between the two prices is
markedly higher in up-market scenarios by a
significant margin of almost two hundred thousand
RMB. Besides the influence of market trends,
regression analysis ran on the variables of ‘income’,
‘occupation’, ‘symbol’ and ‘success’ also points to a
strong and negative correlation of them and the
magnitude of the difference in prices and hence
endowment effect (Bao & Gong, 2016). Hence,
through their study, Bao and Gong has observed a
significant endowment effect in the housing market
as well as the significant impact of market conditions
and buyers and sellers’ characteristics have on the
effect.
2.2 Observational Evidence from the
Boston Market
For a more grounded and realistic perspective on the
effect’s influence on the housing market, Genesove
and Mayer’s observation study on the Boston
condominium market can offer more grounded
insights into the interaction between sellers’ initial
asking price, the loss aversion mechanic and the
eventual adjusted market price of a certain property
(Genesove & Mayer, 2001). The researchers
monitored and analysed the listing and selling prices
data from a well-defined and rather affluent
neighbourhood in downtown Boston over the period
of 1990-97. To investigate the realistic functioning of
the loss aversion mechanic from the sellers’ side, they
first defined the variable of ‘LOSS’ as the difference
between previous selling price and potential selling
price in this period (Genesove & Mayer, 2001). From
their analysis of over 3000 properties sold, a
specified range of ‘coefficient on loss’ (0.25-0.35) –
parameter measuring the percentage to which seller
would raise or lower their asking prices based
percentage change of the variable LOSS – is observed
(Genesove & Mayer, 2001). Challenging standard
economic theory’s suggestion of eventual
‘correction’ to the market price, the researchers have
observed that although the eventual coefficient on
loss of properties sold were lower – between 3 and 18
percent – the loss aversion mechanic is still persistent
(Genesove & Mayer, 2001). They explained this
phenomenon as sellers more sensitive to losses would
have withdrawn from the market leaving those who
are less sensitive to losses eventually selling their
properties. Additionally, they also observed that
despite having a lower coefficient on loss than
average consumers, investors of investment
properties still exhibited evidence of the endowment
effect by having a positive coefficient. Hence,
Genesove and Mayer’s study further validifies the
presence of endowment effect in the housing market
by validating the significance of the loss aversion