Research
Employee Financial Distress
Financial Behaviors of Consumers in Credit Counseling, Consumer Interests Annual, 2004, Xiao, Sorhaindo, & Garman
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Abstract
Positive financial behaviours of consumers are examined
using a national sample of consumers who use credit counselling
services in the US from a behavioural economic perspective.
The findings indicate that consumers in credit
counselling may follow a hierarchical pattern in their financial
behaviours, paying off debts and adjusting spending
before considering saving. Consumers who are older, have
a part-time job (vs. the unemployed), and report a more
secure retirement, a better family relationship, and a higher
score of self-evaluation of financial behaviours are likely to
report more positive financial behaviours. Reporting more
financial behaviours and a higher score of self-evaluation of
financial behaviours, along with several demographic and
perception variables, tend to reduce financial stress and
increase financial satisfaction among consumers who use
credit counselling services.
Keywords Credit counselling
,
financial behaviour
,
hierarchy
of needs
.
Consumer borrowing is closely related to the financial
health of America's households. 1 Many consumers may
be experiencing financial troubles, which is indicated by
at least two facts. In 2002, outstanding household debt
increased by more than 9%, the largest rate of increase
since 1989, whilst non-business bankruptcy filings
reached record highs. 2 Traditional consumer credit
counselling services have provided assistance in helping
these debt troubled consumers since the 1970s. 3 Their
services improved consumer debt repaying hehaviour. 4 In recent years, more competitors entered the credit
counselling business and several problematic practices
in the credit counselling industry are revealed by a
recent study conducted by Consumer Federation of
America and National Consumer Law Center. 5 As suggested
in a panel at the 2003 Annual Conference of
American Council on Consumer Interests, the industry,
government agencies, and consumer advocates need to
work together to address these issues in order to protect
consumer interests in this area. 6
The rapid growth of consumer credit consulting business
implies that there is an increasing consumer need
for this kind of service. Services offered by various types
of credit counselling companies may give consumers
more choices when fully informed. To help these companies
better meet the needs of consumers, more knowledge
about their behaviours is needed. Financial
behaviours have been studied by consumer economists
for many years, 7,8 but few focused on consumers who
use credit counselling services. 4,9-11 More research is
needed to further understand the behaviour of these
consumers to better serve their financial needs.
The purpose of this study is to identify the factors
associated with financial behaviours of consumers who
use credit counselling services and to examine whether
or not the behaviours are associated with these consumers'
financial stress and satisfaction. Specifically, this
study will:
- From a perspective of behavioural economics,
develop hypotheses about financial behaviours of
consumers who use credit counselling services;
- Identify the factors associated with financial behaviours
of these consumers;
- Examine whether or not the behaviours are associated
with these consumers' financial stress and
satisfaction;
- Based on the findings, develop implications for
credit professionals to better meet the needs of consumers
in credit counselling.
In the rest of the paper, we first conduct a literature
review on previous relevant research. Then we present
our hypotheses. Method, findings, and discussion sections
follow. The last section concludes the paper and
discusses implications of the findings.
Literature review
Financial behaviours
Consumer economists always provide advice for positive
financial behaviours in their textbooks. 12,13 Fitzsimmons,
Hira, Bauer, and Hafstrom provided a good
review for financial behaviour research from the 1970s
to the early 1990s 8 In their own research, they used data
from a cooperative regional research project and developed
a scale of financial management. The scale
included two factors. The first factor has six variables
that are considered as bad financial behaviours. The
second factor includes four variables that are considered
as good financial behaviours. These behaviours
include 'make plans on how to use your money', 'write
down where money is spent', 'evaluate spending on a
regular basis', and 'use a written budget.' Based on their
qualitative study, Muske and Winter reported that consumers
did not use the recommended practices because
of the routine nature of their cash-flow management
and the lack of benefit recognized for those using these
tools. 14 In an online financial quiz posted on an US
cooperative extension web site, 20 recommended financial
practices were asked. The average scores were 67
and 65 out of 100 in 2001 and 2002, respectively, which
implies that consumers do not follow the recommended
practices well. 15
Hogarth, Hilgert, and Schuchardt used data from the
2001 Survey of Consumers to report a profile of money
managers. Financial behaviour variables were collected
in the form of a financial IQ quiz. 16 In their research,
they used financial product ownership and financial
behaviour to develop a typology of money managers
and reported a profile of these types of managers. Fourteen
variables are used to measure financial behaviours.
Using data from the same survey, Hogarth, Beverly, and
Hilgart examined patterns of financial behaviours and
concluded that many households do not follow recommended
financial practices. 17 In another study using the
same data set, Hilgert, Hogarth, and Beverly divided
the financial behaviours in four categories: cash-flow
management, credit management, saving, and investment. 18 Their findings suggest that financial behaviours
may be hierarchical. For example, consumers who are
cash-constrained may engage in cash-flow management
practices and obtain credit, but may not save and invest.
They also found that financial knowledge in credit, saving,
and investment would contribute to financial practices
in these areas.
Financial behaviours and financial stress
Many previous studies examined the relationship
between financial stress and general stress and the relationship
between financial/economic stress and family
well-being. For example, credit card debt and stress
regarding debt are associated with health. 19 Financial
stress is positively associated with absenteeism in a sample
of white-collar workers. 20 Weisman demonstrated
a case study on how to reduce financial stress and
improve workplace performance. 21 Data from a sample
of unemployed youths in Australia showed that financial
strain is positively related to general psychological distress. 22 Economic pressure contributes to lower quality
of marriage. 23 Financial stress contributes to coping
functions of alcohol, drinking motives, and alcohol
involvement. 24-26 Role strains especially economic
strains erode positive concepts of self that results in
depression. 27 Family economic distress adversely affects
family well-being. 28 A study of health care professionals
found that financial stress explains 30% of the variances
in participant financial satisfaction scores. 29 However,
no research is found to examine the relationship
between financial behaviour and financial stress in the
general population.
Financial behaviours and satisfaction
Economic well-being is the degree to which individuals
and families have economic adequacy and security. 30 Using the same wording, financial well being is the
degree to which individuals and families have financial
adequacy and security. Financial well-being can be measured
in both objective and subjective measures. For
objective measures, income and new worth are commonly used. 31,32 In this study, we focus on the subjective
measure of financial well-being. More specifically, we
focus on consumer satisfaction of their financial
statuses.
Many studies have used financial satisfaction to measure
financial well-being. 33-41 Positive financial behaviours
are associated with financial satisfaction. 42-44 The
subjective assessment of credit obligations is more
important in explaining financial satisfaction than the
objective measurement of family debt burden such as
debt repayment-to-income ratio. 45 Using a sample of
white-collar clerical workers, Joo and Grable proposed
and tested a framework for understanding the
determinants of financial satisfaction. 46 Based on their
findings, financial satisfaction is associated with financial
behaviours, financial stress levels, income, financial
knowledge, financial solvency, risk tolerance, and
education.
Financial behaviours of consumers in credit counselling
A few studies researched financial behaviours of consumers
who use credit counselling services. Tokunaga
compared consumers who used credit counselling services
and a control group in San Jose and found that
credit counselling clients took fewer steps to retain their
money and expressed greater anxiety about financial
matters. 47
A few recent studies focused on whether or not consumer
credit counselling services improve consumer
credit management practices. Using data from clients of
agencies affiliated with National Foundation of Consumer
Credit (NFCC), the results provide evidence that
credit counselling that utilizes the NFCC agency methodology
affects credit use and payment behaviours in a
positive way. 4 Another group of researchers using data
collected from an independent credit counselling company
and also documented that credit counselling
improves these clients' financial hehaviours. 9-11 In their
studies, they found that credit counselling and financial
behaviours contribute to family well-being and then
contribute to consumers' health. In their studies, the
financial behaviour is measured by the number of positive
financial behaviours reported by the respondents.
Among consumers who use credit counselling services,
financial stress and satisfaction measures might be better indicators of work outcomes than some objective
variables, such as household income or debt load percentage. 48 When the educational desires of credit counselling
clients are examined, their desires are similar but
quite different in prioritization from those who presumably
are adequately managing their financial resources.
Credit counselling clients gave priority to budgeting and
credit management. 49
This study used data and variables collected from
consumers who use credit counselling services but
expanded upon previous studies in several aspects. First,
this study developed hypotheses from a behavioural
economic perspective in order to understand the financial
behaviour of consumers who have debt troubles and
use credit counselling services. Second, this study examined
a new dependent variable, self-evaluation of financial
behaviours, which is not used by previous studies.
Third, this study examined several independent variables
that are not included in previous studies, such as
perceived retirement security, perceived family relationship,
number of family members to support, year of
residency, and credit card debt balance. Fourth, unlike
previous studies that used only the number of financial
behaviours as a composite measure of financial behaviours,
this study used both the composite measure and
individual, specific financial behaviours among other
independent variables to examine their associations
with financial stress and satisfaction.
Hypotheses
Previous theoretical research demonstrated that credit
use is a rational choice for consumers under various
circumstances. For example, the simple Fisher model
demonstrates that it may be rational for the household
to borrow against future income in order to obtain a
preferred path of consumption over time. 50 Based on
the two-period utility model and in a situation where
real income can safely be assumed to either remain
constant or increase, credit use depends crucially upon
the probability that real income increases. 51 However,
for consumers who have debt troubles and use credit
counselling services, the desirable practices are to stop
using credit cards, make more than minimum creditorrequired
payments, and work with the counselling company
to make and follow a plan for repaying debt. 4
Consumers with debt troubles have three options to
distribute their current income: repaying debts, adjusting
spending, and saving for the future. If their income
is limited, they may set priorities for these three goals.
A reasonable assumption is that they will use income
for spending and debt repaying first and then consider
saving, which is consistent with the hierarchical pattern
discussed by previous researchers. For example, based
on national data, most consumers demonstrated high
scores of practices in cash-flow management, lower in
credit management, and much lower in saving and
investment. 18 This hierarchical nature is also reflected in
credit counselling clients' educational desires, 29 consumer
reported saving reasons, 52 and financial asset
holdings. 53 Consumers may use mental accounting when
they make choices between current and future consumption.
They may need to exert more willpower to
save when their economic resources are limited, as
described by the behavioural life-cycle hypothesis, 54 which is based on the prospect theory, 55 the leading
theory in behavioural economics. Therefore, we have
following hypothesis in terms of financial behaviours for
consumers who use credit counselling services:
H1: Credit counselling clients would more frequently
practice activities related to current spending and debt
repaying but less frequently practice activities related to
saving and investment.
Previous research indicates that for the general population,
many consumers do not practice the recommendations
of family economists, but for credit
counselling clients, they have to take certain actions if
they desire to remain in the debt management plan.
Assuming economic and noneconomic resources (such
as agency and family support) are important factors to
encourage their positive financial behaviours, we have
developed the following hypothesis:
H2: Positive financial behaviours, measured either
objectively or subjectively, are positively associated
with the level of economic and noneconomic
resources.
Previous research did not examine the relationship
between financial behaviour and financial stress specifically.
However, previous research indicated that financial
satisfaction is negatively associated with financial
stress and positively associated with financial behaviour
positively. We then have the following hypothesis:
H3: Positive financial behaviours, measured both
objectively and subjectively, would reduce financial
stress.
Previous research indicated that positive financial
behaviours increase financial satisfaction in the general
population, which should be the same for consumers
who use credit counselling services. Then, the last
hypothesis is therefore:
H4: Positive financial behaviours, measured both
objectively and subjectively, would increase financial
satisfaction.
Method
Data
The population for this study was a group of financially distressed consumers who telephoned a large national
non-profit credit counselling organization seeking assistance
with outstanding credit. In mid-June 2003, a 32-
item 'Personal Finances Survey' questionnaire was
mailed to a sample of 7200 who joined the programme
between February and April 2003. Four weeks later, a
follow-up postcard was mailed to people who had not
yet responded, reminding them to return the
questionnaire. After two additional weeks, a second
questionnaire and follow-up letter were mailed to nonrespondents.
A total of 443 surveys were returned as
undeliverable, typically because an address was incomplete,
a person moved without providing a forwarding
address, or the person was deceased. Thus, 6757 questionnaires
were mailed and 3121 respondents returned
useable questionnaires. The response rate is 46% (3121/
6757). The data were self-reported by the respondents
on printed questionnaires and there was no reason to
believe that any respondents misreported responses to
the questions. Additional information on debt load,
debt load percentage, and credit card debt balance were
obtained from client records maintained by the credit
counselling organization. Excluding observations with
missing values of variables relevant to this study, the
samples size used for data analyses is 2044.
Variables
Financial behaviours
This concept was measured in two variables. The first
is the number of positive financial behaviours, an
objective measure. The respondents were asked to
respond to binary questions (yes - 1 or no - 0) of nine
self-reported positive financial behaviours. The total
score of these questions was used as the number of
financial behaviours. Five out of the nine questions
were used in Kim
et al. 9 The second variable is the selfevaluation
of financial behaviours, a subjective measure.
The question is 'On the whole, how would you
characterize your financial behaviours?' very good - 1,
good - 2, satisfactory - 3, and poor - 4. In the analyses,
the values were reverse coded for convenience of
reading the findings.
Financial stress
A single measure of financial stress was used. The question
is 'What do you feel is the level of your financial
stress
today
?' with five options: 1 - overwhelming, 2 -
severe, 3 - moderate, 4 - low, 5 - none. In the analyses,
the values were reverse coded for convenience of reading
the findings.
Financial satisfaction
It was measured by a self-anchoring ladder that was
originally developed by Cantril 56 and used by Porter and
Garman. 57 In this measure, 1 refers to dissatisfied and
10 refers to satisfied.
Demographic and other control variables
The demographic variables included employment status,
marital status, number of family members to support,
family income, age, gender, home ownership, and
year of residence. In addition, perceived retirement
security, perceived health, perceived family relationship,
debt load percentage, and credit card debt balance
were also included in the analyses. Debt load percentage
is defined as the ratio of average annual debt payment
to annual family income. Log credit card debt
balance and log family income were used in the regression
analyses.
Analyses
As the data were from a cross-section survey, only associations
between the dependent variables and independent
variables can be explored. Four sets of linear
regression models were used to explore factors associated
with the number of financial behaviours, selfevaluation
of financial behaviours, financial stress, and
financial satisfaction respectively. For each set, various
specifications of the models were explored for better
explaining powers or further explorations. Additional
bivariate and multivariate analyses were also conducted
to explore the data and seek explanations.
Findings
Descriptive statistics
Table 1 presents descriptive statistics of the sample.
Most respondents are full-time workers, married,
female, and supporting at least one person. A little less
than half of them are homeowners. Their average age is
39.4 years old and they have lived in their residence for
an average of 7.3 years. On average, their annual family
income is $26 007 with credit card debt balance of
$15 657. The average debt load percentage is 20.3%.
The average score for financial satisfaction (1 - dissatisfied,
10 - satisfied) is 4.3, financial stress (1 - none, 5
- overwhelming) 3.3, self-evaluation of financial behaviour
(1 - poor, 4 - very good) 2.0, perceived retirement
security (1 - very insecure, 4 - very secure) 2.1, perceived
health (1 - poor, 4 - very good) 2.9, and perceived
family relationship (1 - poor, 4 - very good) 3.1.
Table 2 presents frequencies of self-reported financial
behaviours. Among the nine behaviours, four had
higher percentages that imply being practised more frequently,
having reduced debts (89%, shorter descriptive
wording is used here and the exact wording from the
questionnaire can be found in Table 2), cut down
expenses (80%), followed a budget (74%), and developed
a plan (68%). Five behaviours have lower percentages,
having contacted a financial planner (17%),
participated in a flexible spending plan (20%), determined
retirement needs (34%), contributed to retirement
(38%), and started savings (52%). The findings
support H1. Table 3 presents frequencies of self
| Table 1 |
| Descriptive statistics of the sample (
n
=
2044) |
| Variable |
Percent |
Mean |
SD |
| Job status |
|
|
|
| No job |
11 |
|
|
| Part time |
11 |
|
|
| Full time |
78 |
|
|
| Marital status |
|
|
|
| Married |
53 |
|
|
| Single with a partner |
10 |
|
|
| Single living alone |
37 |
|
|
| Number of people to support |
|
|
|
| None |
48 |
|
|
| One |
34 |
|
|
| Two or more |
18 |
|
|
| Gender |
|
|
|
| Male |
31 |
|
|
| Female |
69 |
|
|
| Home owner |
|
|
|
| Yes |
47 |
|
|
| No |
53 |
|
|
| Age |
|
39.4 |
12.5 |
| Credit card debt balance |
|
15 657 |
14 776 |
| Debt load percentage |
|
20.3 |
17.0 |
| Annual family income |
|
26 007 |
14 444 |
| Year of residence |
|
7.3 |
8.6 |
| Financial satisfaction |
|
4.3 |
2.1 |
| Financial stress |
|
3.3 |
0.9 |
| Self-evaluation of financial behaviour |
|
2.0 |
0.7 |
| Perceived retirement security |
|
2.1 |
0.8 |
| Perceived health |
|
2.9 |
0.8 |
| Perceived family relationship |
|
3.1 |
0.8 |
| SD, standard deviation. |
| Table 2 |
| Percentages of reported financial behaviours
(
n
=
2044) |
| Financial behaviour |
Percent |
| Reduced some of my personal debts |
89 |
| Cut down on living expenses |
80 |
| Followed a budget or spending plan |
74 |
| Developed a plan for my financial future |
68 |
| Started or increased my savings |
52 |
| Contributed to my employer’s retirement plan |
38 |
| Tried to determine how much I will need to live comfortably in
retirement |
34 |
| Participated in and contributed money to pre-tax dependent
care or health care programme |
20 |
| Contacted a financial planner |
17 |
| Table 3 |
| Numbers of reported financial behaviours (
n
=
2044) |
| Number of financial behaviours |
Percent |
| 0 |
1 |
| 1 |
3 |
| 2 |
8 |
| 3 |
15 |
| 4 |
21 |
| 5 |
21 |
| 6 |
16 |
| 7 |
9 |
| 8 |
4 |
| 9 |
2 |
| Mean |
4.6 |
| Mode |
4 |
| Median |
5 |
| Standard Deviation |
1.8 |
reported financial behaviours. Most consumers
reported three to six financial behaviours. The mean,
mode, and median of the number of behaviours are 4.6,
4, and 5 out of 9 behaviours.
Factors associated with the number of financial behaviours
Two regression models were used to examine factors
associated with the number of financial behaviours, one
without the self-evaluation of financial behaviour as an
independent variable and the other with it (Table 4).
The second model improved the explaining power by
33% and then results of the second model are discussed.
Regression results at the significance level of 5% indicate
that age, employment status, retirement security,
family relationship, and self-evaluation of financial
behaviours are associated with the number of positive
financial behaviours. Consumers who are older, have a
part time job (vs. the unemployed), perceive a more
secure retirement and a better family relationship, and
report a higher score of self-evaluation of financial
behaviours tend to report significantly more positive
financial behaviours.
To explore differences between consumers who
reported substantially more or fewer financial behaviours,
bivariate analyses were conducted (for categorical
variables, we used Chi-square tests and for continuous
variables, we used
ANOVA
; tables are not presented but
| Table 4 |
| Parameter estimates of factors associated with the
number of financial behaviours |
| Variable |
Model 1 |
Model 2 |
| Intercept |
-6.8300 |
-9.4415 |
| Full time |
0.1571 |
0.1741 |
| Part time |
0.4712*** |
0.4686*** |
| Married |
0.1873 |
0.1840 |
| Living with a partner |
-0.0656 |
-0.0773 |
| Support one person |
0.0759 |
0.0602 |
| Support two or more persons |
0.1144 |
0.0693 |
| Own home |
-0.1930* |
-0.1514 |
| Male |
0.0602 |
0.0260 |
| Age |
0.0106** |
0.0109** |
| Log credit card debt balance |
-0.0070 |
-0.0442 |
| Log family income |
1.5081 |
1.9525 |
| Log family income squared |
-0.0680 |
-0.0898 |
| Debt load percentage |
0.0028 |
0.0047 |
| Year of residence |
0.0076 |
0.0068 |
| Perceived retirement security |
0.6864*** |
0.5512*** |
| Perceived health |
0.0668 |
0.0152 |
| Perceived family relationship |
0.1917*** |
0.1513*** |
| Self-evaluation of financial behaviour |
|
0.6181*** |
| F |
18.62 |
24.53 |
| P |
<0.0001 |
<0.0001 |
| Adj. R2 |
0.1437 |
0.1918 |
| *P < 0.05; **P < 0.01; ***P < 0.001. |
available upon request). The high number of financial
behaviours group included consumers who reported six
or more financial behaviours. The low number group
included those who reported three or fewer financial
behaviours. Consumers are more likely to be in the high
number of financial behaviours group if they are male,
married, and older, have a full-time job and a higher
family income, and perceive a more secure retirement,
better health, and a better family relationship.
Factors associated with the self-evaluation of
financial behaviours
Two models were used to examine factors associated
with self-evaluation of financial behaviours, one without
the number of financial behaviours as an independent
variable and the other with it (Table 5). The second
model explained the variances better by 39%. The
results from the second model are discussed. Credit card
| Table 5 |
| Parameter estimates of factors associated with selfevaluation
of financial behaviours |
| Variable |
Model 1 |
Model 2 |
| Intercept |
4.2253 |
4.8520 |
| Full time |
-
0.0276 |
-
0.0420 |
| Part time |
0.0041 |
-
0.0391 |
| Married |
0.0052 |
-
0.0120 |
| Living with a partner |
0.0190 |
0.0250 |
| Support one person |
0.0253 |
0.0183 |
| Support two or more persons |
0.0730 |
0.0625 |
| Own home |
-
0.0673 |
-
0.0496 |
| Male |
0.0553 |
0.0498 |
| Age |
-
0.0005 |
-
0.0015 |
| Log credit card debt balance |
0.0602* |
0.0608* |
| Log family income |
-
0.7190 |
-
0.8574 |
| Log family income squared |
0.0353 |
0.0416 |
| Debt load percentage |
-
0.0030 |
-
0.0033* |
| Year of residence |
0.0014 |
0.0007 |
| Perceived retirement security |
0.2188*** |
0.1558*** |
| Perceived health |
0.0834*** |
0.0772*** |
| Perceived family relationship |
0.0654*** |
0.0478*** |
| Number of financial behaviours |
|
0.0918*** |
| F |
13.66 |
19.57 |
| P |
<
0.0001 |
<
0.0001 |
| Adj. R2 |
0.1076 |
0.1577 |
| *
P
<
0.05; **
P
<
0.01; ***
P
< 0.001. |
debt balance, debt load percentage, retirement security,
health, family relationship, and the number of positive
financial behaviours are associated with the selfevaluation
of financial behaviours. Consumers who have
a higher balance of credit card debt, lower debt load
percentage, perceive a more secure retirement, better
health, and a better family relationship, and report more
positive financial behaviours tend to report a higher
score on self-evaluation of their financial behaviours.
Factors associated with financial stress
Three models were used to examine factors associated
with the financial stress variable (Table 6). The first
model excluded the two behavioural variables while the
second model included them. The purpose of the third
model is to explore what specific behaviours are associated
with financial stress. We first report findings from
the second model. Financial stress is associated with
| Table 6 |
| Parameter estimates of factors
associated with financial stress |
| Variable |
Model 1 |
Model 2 |
Model 3 |
| Intercept |
-2.4161 |
-1.9413 |
-5.7321 |
| Full time |
-0.2698** |
-0.2675** |
-0.2291** |
| Part time |
-0.1545* |
-0.1308* |
-0.2160* |
| Married |
-0.0721 |
-0.0620 |
-0.0991 |
| Living with a partner |
-0.0468 |
-0.0464 |
-0.0352 |
| Support one person |
-0.0537 |
-0.0452 |
-0.0115 |
| Support two or more persons |
-0.0551 |
-0.0356 |
-0.0025 |
| Own home |
0.0664 |
0.0442 |
0.0439 |
| Male |
-0.0827 |
-0.0693 |
-0.1076 |
| Age |
-0.0070*** |
-0.0065*** |
-0.0070** |
| Log credit card debt balance |
-0.0068 |
0.0044 |
0.0058 |
| Log family income |
1.3435 |
1.2795 |
2.0069 |
| Log family income squared |
-0.0626 |
-0.0592 |
-0.0937 |
| Debt load percentage |
0.0074*** |
0.0070*** |
0.0070* |
| Year of residence |
0.0027 |
0.0033 |
0.0061 |
| Perceived retirement security |
-0.2151*** |
-0.1400*** |
-0.1882*** |
| Perceived health |
-0.0657* |
-0.0466 |
-0.0468 |
| Perceived family relationship |
-0.1191*** |
-0.0973*** |
-0.1128** |
| Number of financial behaviours |
|
-0.0486*** |
|
| Self-evaluation of financial behaviours |
|
-0.1909*** |
|
| Developed a plan for my financial future |
|
|
0.0283 |
| Started or increased my savings |
|
|
-0.1150 |
| Reduced some of my personal debts |
|
|
-0.3107*** |
| Followed a budget or spending plan |
|
|
-0.1438* |
| Cut down on living expenses |
|
|
0.0653 |
| Contacted a financial planner |
|
|
0.0842 |
| Participated in flexible spending programme |
|
|
0.0249 |
| Tried to determine retirement needs |
|
|
-0.0339 |
| Contributed to employer’s retirement plan |
|
|
-0.0603 |
| F |
11.17 |
14.11 |
7.37 |
| P |
<0.0001 |
<0.0001 |
<0.0001 |
| Adj. R2 |
0.0883 |
0.1225 |
0.1385 |
| *P < 0.05; **P < 0.01; ***P < 0.001. |
employment status, age, debt load percentage, retirement
security, family relationship, number of financial
behaviours, and self-evaluation of financial behaviours.
A higher number of financial behaviours and higher
score of self-evaluation of financial behaviours are associated
with a lower stress level. In addition, a lower
stress level is associated with those who are employed,
older, having a lower debt load percentage, and perceive
better health and a better family relationship.
Further examination (model 3) found that two specific
financial behaviours might help reduce stress significantly.
Having reduced some personal debts and
having followed a budget or spending plan are associated
with a lower level of stress. However, other behaviours
do not show significant associations with financial
stress.
To explore differences between consumers with
extremely high or low stress levels, we conducted bivariate
analyses (tables are not presented but available
upon request). The high stress group included consumers
who reported 'severe' or 'overwhelming' to the
stress question. The low stress group included those who
reported 'low' or 'none' when the financial stress question
is asked. Consumers who are younger, have a
higher debt load percentage, and perceive a less secure
retirement, poorer health, and a poorer family relation-
| Table 7 |
| Parameter estimates of factors associated with financial satisfaction |
| Variable |
Model 1 |
Model 2 |
Model 3 |
| Intercept |
-2.4547 |
-4.6607 |
-6.7839 |
| Full time |
0.0320 |
0.0206 |
0.1291 |
| Part time |
0.0953 |
-0.0164 |
0.1991 |
| Married |
0.1542 |
0.1066 |
0.0197 |
| Living with a partner |
-0.0018 |
-0.0037 |
-0.2797 |
| Support one person |
-0.0711 |
-0.1111 |
-0.1311 |
| Support two or more persons |
-0.0071 |
-0.0985 |
-0.1316 |
| Own home |
-0.3657*** |
-0.2614** |
-0.1403 |
| Male |
0.0975 |
0.0343 |
0.0510 |
| Age |
0.0176*** |
0.0157*** |
0.0171** |
| Log credit card debt balance |
-0.1370 |
-0.1890* |
-0.2651* |
| Log family income |
1.1160 |
1.4121 |
1.8792 |
| Log family income squared |
-0.0677 |
-0.0837 |
-0.0946 |
| Debt load percentage |
-0.0075 |
-0.0054 |
0.0015 |
| Year of residence |
0.0217*** |
0.0187** |
0.0097 |
| Perceived retirement security |
0.8301*** |
0.4773*** |
0.6896*** |
| Perceived health |
0.1722** |
0.0824 |
0.1421 |
| Perceived family relationship |
0.2453*** |
0.1430* |
0.0981 |
| Number of financial behaviours |
|
0.2293*** |
|
| Self-evaluation of financial behaviours |
|
0.8928*** |
|
| Developed a plan for my financial future |
|
|
0.4901** |
| Started or increased my savings |
|
|
0.8896** |
| Reduced some of my personal debts |
|
|
0.8227*** |
| Followed a budget or spending plan |
|
|
0.2205 |
| Cut down on living expenses |
|
|
-0.0875 |
| Contacted a financial planner |
|
|
0.3783* |
| Participated in flexible spending programme |
|
|
-0.3306* |
| Tried to determine retirement needs |
|
|
0.2336 |
| Contributed to employer’s retirement plan |
|
|
-0.5657*** |
| F |
21.30 |
39.69 |
17.84 |
| P |
<0.0001 |
<0.0001 |
<0.0001 |
| Adj. R2 |
0.1620 |
0.2917 |
0.2983 |
| *P < 0.05; **P < 0.01; ***P < 0.001. |
ship are more likely to be in the high stress group. On
average, consumers in the high stress group, compared
with the low stress group, reported a lower number of
financial behaviours (4.0 vs. 5.4) and a lower score of
self-evaluation of financial behaviours (1.8 vs. 2.3).
Factors associated with financial satisfaction
Similar to financial stress, three models were used to
examine factors associated with financial satisfaction
(Table 7). Findings from the second model are presented.
Financial satisfaction is associated with home
ownership, age, credit card debt balance, year of residence,
perceived retirement security, perceived family
relationship, number of financial behaviours, and selfevaluation
of financial behaviour. Consumers who are
renters and older, have a lower balance of credit card
debt, live longer years in their residence, perceive a
more secure retirement and a better family relationship,
report more financial behaviours, and provide a higher
score of self-evaluation of financial behaviours are associated
with a higher level of satisfaction.
Further examination (model 3) found that four financial
behaviours might increase financial satisfaction. The
four specific financial behaviours are: having developed
a plan for my financial future, started or increased my
savings, reduced some of my personal debts, and contacted
a financial planner. However, two behaviours
(having participated in flexible spending programme
and contributed to my employer's retirement plan) are
negatively associated with financial satisfaction. One
possible explanation is that consumers who participated
in a flexible spending programme and contributed to
their retirement plan while having debt problems would
have to sacrifice their current spending and divert their
resources for debt repaying that decreases satisfaction
about their finances.
To explore the differences between consumers who
are most satisfied with their finances and those who are
least satisfied, we conducted several bivariate analyses
(tables are not presented but available upon request).
The high satisfaction group included consumers whose
satisfaction score is seven or higher. The low satisfaction
group included those whose score is four or lower. Consumers
are more likely to be in the high satisfaction
group if they are older, live in the current residence
longer, and perceive a more secure retirement, better
health, and a better family relationship. Compared with
the low satisfaction group, consumers in the high satisfaction
group averagely reported more financial behaviours
(5.8 vs. 3.9) and a higher score of self-evaluation
of financial behaviours (2.5 vs. 1.7).
Discussion
Some evidence shows that consumers may follow a hierarchical
pattern in their financial behaviours when they
have financial troubles and use credit counselling services.
They may be more concerned about how to
reduce debts and adjust current spending and less concerned
about their savings and future consumption as
indicated in the findings presented in Table 2. Similar
hierarchical behavioural patterns were also found in
previous studies.18,29,52,53
In this study, two behaviour variables are used: the
number of financial behaviours and self-evaluation of
financial behaviours. Both variables showed significant
negative associations with financial stress and positive
associations with financial satisfaction, supporting H3
and H4. When the two variables are used as dependentvariables, several differences are shown. Age and
employment status have significant associations with
the number of behaviours, but insignificant associations
with the self-evaluation of behaviours. Perceived health
and credit card debt balance are positively associated
with the self-evaluation but not with the number of
behaviours. These differences imply that the two variables
may measure two different concepts and need to
be used together to better explain financial stress and
satisfaction.
Both economic and non-economic factors may contribute
to positive financial behaviours. For example,
factors associated with the number of financial behaviours
(Table 4, Model 2), such as employment status
(part-time workers vs. unemployed), age, and perceived
retirement security can be considered factors relating to
economic resources. Perceived family relationship and
self-evaluation of financial behaviours can be considered
as non-economic factors. The higher levels of these
economic and non-economic resources are associated
with more positive financial behaviours, which supports
H2.
Conclusion and implications
Before the conclusion is presented, a note of caution is
needed. The data used in this study are from a crosssection
survey, which limits the findings that show only
associations between the dependent and independent
variables. The findings only suggest but do not show
causal relationships for those having significant associations.
To examine possible causal relationships of these
variables, panel data are needed in future research.
Thus, the following conclusion and implications are suggestive
but not conclusive.
Data from a national sample of credit counselling
clients are used to examine factors associated with
financial behaviours and the effects of financial behaviours
on financial stress and satisfaction. Financial
behaviours of consumers in credit counselling may follow
a hierarchical pattern in their financial behaviours.
They may be more concerned about debt repaying and
spending adjustment and less concerned about saving
and investment.
Regression results indicate that consumers who are
older, have a part-time job (vs. the unemployed),perceive a more secure retirement and a better family
relationship, and report a higher score of self-evaluation
of financial behaviours are likely to report more positive
financial behaviours.
Consumers who have a higher level of credit card
debt and a lower level of debt load percentage, perceive
a more secure retirement, better health, and a better
family relationship, and report more positive financial
behaviours are likely to evaluate their own financial
behaviours more positively.
More positive financial behaviours and a higher score
of self-evaluation of financial behaviours, along with
several demographic and perception variables, tend to
reduce financial stress. In addition, consumers who
report having reduced some of their personal debts and
followed a budget or spending plan are likely to report
a lower level of financial stress.
Financial satisfaction tends to be increased when consumers
report more positive financial behaviours and a
higher score of self-evaluation of financial behaviours,
along with several demographic and perception variables.
Four specific financial behaviours are likely to
increase financial satisfaction: having developed a plan
for one's financial future, started or increased one's savings,
reduced some of one's personal debts, and contacted
a financial planner. However, two financial
behaviours, having participated in a flexible spending
programme and contributed to employer's retirement
plan, are likely to lower the financial satisfaction level.
Implications for credit counselling professionals
Credit counsellors may consider the hierarchical nature
of behaviours when they encourage their clients to
engage in positive financial behaviours. Counsellors
may help their clients reduce debts and cut current
spending first. Encouraging savings for retirement and
other purposes may be the next step only when their
clients are ready for these activities.
To encourage their clients to engage in more positive
financial behaviours, counsellors may need to ask them
to think about their retirement security and to maintain
good family relations. Counsellors may need to pay special
attention to people who are younger and unemployed,
and develop effective strategies to help these
clients engage in positive financial behaviours.
As a higher score of self-evaluation of financial
behaviour may help reduce financial stress and increase
financial satisfaction, counsellors should encourage
their clients to think about their retirement security,
maintain good health and good family relationships, and
encourage more positive financial behaviours to help
clients feel better about their own financial behaviours
because this may lead to less stress and more
satisfaction.
Credit counsellors should realize that both the number
of positive financial behaviours and a positive selfevaluation
of financial behaviours may help reduce
clients' financial stress. These two factors interact; therefore,
counsellors should motivate their clients to engage
in more positive financial behaviours and help them
realize that a positive self-evaluation of their financial
behaviours may reduce financial stress. Counsellors can
also advise clients that reducing debts and following a
budget may significantly help reduce financial stress.
Counsellors should use all available suggestions and
strategies that are appropriate to help their clients
achieve their financial goals and reduce their distress
about financial matters.
Both the behaviours and self-evaluation of the behaviours
increase financial satisfaction. Similar strategies
aimed at reducing stress could work to increase financial
satisfaction. In particular, several behaviours may significantly
increase financial satisfaction and should be
emphasized in counselling. These include developing a
plan, starting to save, reducing debt, and contacting a
financial planner. Also note that two behaviours may
decrease financial satisfaction based on the findings
from this study: participating in a flexible spending programme
and contributing to a retirement plan. Counsellors
should work with their clients to determine
whether or not they should participate in these planned
spending and saving programmes based on their economic
and non-economic circumstances. However, they
should be aware that these activities might decrease
clients' financial satisfaction.
Acknowledgements
Sincere appreciation is extended to the InCharge Education
Foundation and the InCharge Institute of America
for their support of this research.
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