National Culture and Default on Mortgages

AuthorHassan F. Gholipour,Reza Tajaddini
Date01 March 2017
DOIhttp://doi.org/10.1111/irfi.12113
Published date01 March 2017
National Culture and Default on
Mortgages*
REZA TAJADDINI AND HASSAN F. GHOLIPOUR
Department of Accounting, Economics, and Finance, Faculty of Business and Law,
Swinburne University of Technology, Hawthorn, Victoria, Australia
ABSTRACT
In this paper, we investigate the relationship between national cultural
characteristics and default on mortgages (DOM). Using Hofstedes constructs
and controlling for other relevant determinants of DOM, our regression
analyses show that borrowers from countries with high individualism may
default more on their mortgages in both a relatively stable economic period
and during a period of crisis. Moreover, we nd that borrowers from societies
showing lower level of pragmatism and higher level of indulgence default
more on their mortgages in a stable economic period. Our ndings suggest
important implications for multinational nancial institutions that provide
mortgages across countries.
JEL Codes: Z100; G210
I. INTRODUCTION
Defaults on residential mortgages (DOM) have been extensively analysed in liter-
ature in the 1970s and 1980s (e.g. Green and Furstenberg 1975; Morton 1975;
Jackson and Kaserman 1980; Campbell and Dietrich 1983). Prior empirical
research has identied several economic factors (e.g. income, unemployment,
and house prices), socio-demographic factors (e.g. divorce and race), and health
characteristics of borrowers (e.g. prolonged illness and disability) as determinants
of DOM. In recent years, the need to understand the modern determinants of
DOM has received increasing attention by economists and policymakers
(e.g. Bernanke 2008; Igan and Pinheiro 2009; Quercia et al. 2012) because of
the recent rise in DOM and foreclosures in many advanced economies, especially
the USA, where this contributed to the recent Global Financial Crisis (GFC).
1
* We thank Necmi Kemal Avkiran and Toby Hareld for helpful conversations. We also thank
seminar participants at the 2015 Accounting and Finance Association of Australia and New Zealand
Conference, Hobart, Australia; and anonymous referees. Any errors are our own.
1 It should be noted that, on average, housing mortgages over the 20032013 period, account for
about 75% of total consumer lending in the developed economies. In emerging economies, the
share of housing mortgages to total consumer lending has also signicantly increased over the
same period, growing from 39% in 2003 to around 50% in 2013 (Euromonitor International
2014).
© 2016 International Review of Finance Ltd. 2016
International Review of Finance, 17:1, 2017: pp. 107133
DOI: 10.1111/ir.12113
Recent evidence in behavioral nance literature (Seiler et al. 2012; Guiso et al.
2013) argues that DOM depends not only on the socio-demographic, economic,
and legal environment, but also on the behavioral characteristics of borrowers.
Such behaviors include shame, guilt and the social stigma associated with
defaulting, and views about fairness and morality; factors which all, to some
extent, are rooted in the national culture of a country. The purpose of this paper
is to explain the cross-country variation in DOM based on variations in cultural
dimensions, as well as a set of other common control variables (e.g. household
income (INC), unemployment (UNE), and house prices (HPI)) that mainly reect
the ability/willingness of borrowers to pay their mortgages. The Hofstede cultural
dimensions used in this study include power distance, individualism versus
collectivism, masculinity versus femininity, uncertainty avoidance, pragmatism
versus normativeness, and indulgence versus restraint across 42 countries.
Our study is different from Guiso et al. (2013) and Seiler et al. (2012) in at least
two aspects: rst, although uncertainty avoidance and collectivism dimensions
of Hofstede are to some extent similar to the variables such as fear, shame, and
social contagion in Guiso et al. (2013) and Seiler et al. (2012), they do not neces-
sarily explain the same concepts. In addition, there are other important cultural
dimensions such as pragmatism/normativeness and indulgence/restraint that
have not been examined in their studies. Second, Guiso et al. (2013) and Seiler
et al. (2012) used the US survey data, whereas in this paper we use international
data, which provide broader insights about the relationship between borrowers
cultural values and mortgage default rates across countries.
Our research is not only motivated by the gap in literature but also by some
noteworthy observations. Although many countries strengthened their real
estate debt regulations and implemented very similar debt policies after the
GFC, a considerable difference in the mortgage default rate can be observed
among nations with differing cultural backgrounds. For example, Hong Kong
and Germany are classied as developed economies and have employed almost
the same debt and lending regulation in recent years.
2
However, over the
20102013 period, the average mortgage default rates for Hong Kong and
Germany are 0.05% and 2.80%, respectively. Likewise, Brazil and Russia are
classied as fast-growing emerging economies and have implemented very
similar debt and lending regulation. However, the mortgage default rates in
Brazil (4.40%) are double those in Russia (2.48%). This raises an important set
of questions: why do countries with almost the same level of real estate debt
regulation and economic development have such a different level of DOM? Do
any of the national cultural dimensions explain DOM?
2 According to the Regulatory and Legal sub-index scores of Jones Lang LaSalles (JLL) 2012 Global
Real Estate Transparency Index (which measures the availability of data on real estate debt and
the extent to which national regulators monitor that debt), a majority of developed economies
score the highest on the Regulatory and Legal sub-index. For more details, see http://www.
joneslanglasalle.co.jp/japan/ja-jp/Documents/Transparency/JLL_Transparency_2012_E.pdf
International Review of Finance
© 2016 International Review of Finance Ltd. 2016108

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