Not only can we learn how women have changed
the shape of a formerly male-dominated profession, we can also learn
more about gender characteristics within the workplace, and the
potential for women and leadership within other occupations.
ABSTRACT
Until the mid-1960s most real estate
agents selling residential real estate were male. Over the next
decade, increasing numbers of women entered the profession, and
by 1980, female real estate agents outnumbered male real estate
agents. In this paper, I explore some reasons for this increase
by comparing female and male residential real estate agents
motivations for becoming real estate agents, their satisfaction
with the profession, and differences in the amount of hours worked.
The results show that the use of time and
the amount of hours worked differs significantly for female and
male real estate agents, and that female real estate agents believe
more strongly than male real estate agents that the sex of the agent
matters in residential real estate transactions.
INTRODUCTION
Various studies, including those by Smith
& Smits (1994); Rosener (1995); and Buttner (2001), show that
the presence of women in leadership and professional roles inspires
other women to take on such roles. The residential real estate profession
is an exceptional example of an arena in which women have demonstrated
leadership and have achieved personal and financial success. Until
the mid-1960's, most real estate agents selling residential real
estate were male, but over the next decade increasing numbers of
women entered the profession, and by 1980, female real estate agents
outnumbered male real estate agents. In 1999, the National Association
of Realtors noted that 61% of sales agents and 45% of brokers were
female (Evans, 1999).
Different explanations have been proffered
as to how and why women have come to dominate the residential real
estate profession. Some accounts emphasize structural factors, other
focus on cultural factors. Structural explanations are concerned
with the organizational and institutional constitution of work situations
and families (Evetts, 2000, p. 61). For example, in 1945, Smedley
and Robinson (p. 179) encouraged women to pursue real estate, arguing
that your own common sense and familiarity with the problems of
running a house will tell you why certain properties are more valuable
than others; why they can be rented for more money than others.
Research by Reskin and associates has analyzed the impact of economic
and political transformations of the real estate profession. Reskin
(1990, p. 41) maintains that when the market slump in residential
sales occurred in the 1970's, instead of increasing commissions
to entice men to stay in the profession, brokers actively recruited
women at lower pay. Thomas and Reskin (1990, p. 205) add that this
trend was exacerbated by the Tax Equity and Fiscal Responsibility
Act (TEFRA) of 1982, which determined that real estate agents would
no longer be treated as employees for federal tax purposes. Instead,
they would have independent contractor status, receiving sales-based
commissions rather than hourly pay or salary, with no obligation
on the part of the firm to provide social security, unemployment
insurance, pension plans, or fringe benefits. Other structural explanations
have focused on the flexibility of working hours (Jud &Winkler,
1999) and easy access to training (Thomas & Reskin, 1990).
Cultural explanations are concerned with socialization
and ideologies about gender roles within the culture of work organizations
and professions (Evetts, 2000, p. 59). Accordingly, women's dominance
within the real estate profession is attributed to presumed correlations
between characteristics important for success in real estate and
those traditionally associated with women. Such characteristics
for real estate generally include empathy, integrity, professionalism,
and responsiveness1 -- traits consistent with the intuition, empathy,
and nurturing capacities equated with women by conventional wisdom,
and some theoreticians and observers.2 For instance, Rolle Davis,
owner of a large real estate firm in New Jersey, reflects this sentiment
in discussing why she tends to hire mostly women. "It has been my
experience," she explains, "that women seem to have more of the
skills that are needed for this type of business. This is a very
nurturing type of business and you need different skills than you
do when you are selling office supplies or a piece of furniture.
This business involves ongoing relationships. It can sometimes take
years to sell to a particular person and I think women are often
better suited for this business because they have more patience
than men" (Rose, 1997, p. G1). In other words, female real estate
agents "sell a way of life that implies a traditional female role
(Crispen, 1978, p. 4).
Whether structural, cultural, or a combination
of both, accounts of women in real estate primarily have been based
on conversations with real estate agents. What is needed is a systematic
investigation to validate this anecdotal evidence. This paper is
an initial attempt to undertake such a project.
THE STUDY
I developed a questionnaire based on scholarly
and popular accounts of gender differences in the real estate profession.
I asked questions concerning structural and cultural dimensions,
including the number of hours real estate agents predicted they
would work when they first received a real estate license compared
with actual hours they worked once in the profession; the criteria
used for choosing a career in real estate; satisfaction with that
career; characteristics considered important for success in real
estate; and some general perceptions about women and real estate.
The questionnaire was mailed or delivered
to 200 New Jersey members of the National Association of Realtors
and e-mailed to another 200 members. There was a 37% response rate
(73 responses) from the first group and a 17% response rate (33
responses) from the second group, for a total of 106 responses.
Table 1 <#one> shows the make-up of the respondents. 58% were
female and 42% were male. 77% of the women and 77% of the men were
married, and 35% of the women and 52% of the men were parents of
children under fifteen years of age. The average age was 39 for
women and 37 for men. All the respondents had at least a high school
degree, and 52% of the women and 55% of the men had college degrees.
The average length of time in real estate was eight years for women
and seven years for men.
Time Devoted to Real Estate
I first compared how many hours per week residential
real estate agents predicted they would work when they first received
their license to the actual number of hours they worked once in
the profession. Table 2 <#two> shows the results for male
and female respondents, and for male and female respondents according
to whether or not they have children less than fifteen years of
age. A one-way analysis of variance indicates that the number of
hours women predicted they would work was less than the number of
hours men predicted they would work. No one predicted they would
work more than 50 hours per week. The results of a chi-square analysis,
shown in Table 3 <#three> , indicate that the number of hours
real estate agents predicted they would work was more than the expected
count for women and less than the expected count for men.
With respect to actual number of hours worked,
women worked significantly fewer hours per week than did men (Table
2 <#two> ). Table 3 <#three> shows that the actual number
of hours worked were less than the expected count for women and
more than the expected count for men. Table 4 <#four> shows
the percentage of respondents in each time category. Very few men
and about one-third of the women worked part time (less than 40
hours), while less than one-third of the women and almost 90% of
the men worked over 40 hours per week.
In comparing actual hours vs. predicted hours,
both women and men tended to underestimate the hours of work required.
The correlation (using Spearman's rho) between actual and predicted
hours is not significant for women (r = 0.222; p-value = 0.083),
but it is significant, although weak, for men (r = 0.328, p-value
= 0.030) (Table 2 <#two> ).
For respondents with children under fifteen,
differences between women and men were even greater (Table 2 <#two>
). The number of hours mothers predicted they would work was less
than the number of hours fathers predicted they would work. The
number of hours predicted was more than the expected count for mothers
and less than the expected count for fathers (Table 3 <#three>
).
In terms of actual hours worked, mothers worked
significantly less than fathers. Very few of the fathers and more
than half of the mothers worked less than 40 hours, while very few
of the mothers but almost all of the fathers worked 40 or more hours
per week (Table 4 <#four> ). The actual number of hours worked
was less than the expected count for mothers and more than the expected
count for fathers (Table 3 <#three> ). None of the spouses
of the married mothers worked less than 40 hours, while 22% of the
spouses of the married fathers did not work and approximately 35%
worked less than 40 hours per week. While no significant relationship
(using Spearman's rho) existed between the amount of hours mothers
and their spouses worked (r = -0.054; p-value = 0.815), there was
a negative correlation between the amount of hours fathers worked
and the amount their spouses worked (r = -0.419; p-value = 0.050).3
The hours mothers predicted they would work
and the hours they actually worked were not significantly different
(r = 0.024; p-value =0.912); fathers, however, significantly underestimated
the amount of hours they would actually work (r = 0.462; p-value
= 0.030) (Table 2). A t-test of independent samples comparison of
means also shows a significant difference in the amount of time
parents worked during evening and weekend "family time", with fathers
working an average of 15.19 hours and mothers working an average
of 8.79 hours (p-value = 0.001).
There was no significant difference between
the hours worked by fathers and the hours worked by men without
children under fifteen. However, women without children under fifteen
work approximately three hours per week less than men either with
or without children, while women with children under fifteen work
the least amount of hours (Table 2 <#two> and Table 4 <#four>
).
Criteria Influencing the Decision to Become
a Real Estate Agent
Table 5 <#five> shows how the respondents
rated the criteria that motivated them to become real estate agent.
For both female and male respondents, the ability to make money
was very important. Women also rated flexible hours, working with
people, and balancing family and career as significantly more important
than did men.
The Degree of Satisfaction With Different
Aspects of the Job
Table 6 <#six> shows the results when
respondents rated their level of satisfaction with criteria related
to the job. Both women and men felt relatively satisfied with most
of the criteria, although women felt significantly more satisfied
than men with the real estate profession overall.
Characteristics Considered Important in
Real Estate
Table 7 <#seven> shows how respondents
rated the importance of characteristics needed by real estate agents
in attaining success in the profession. Male and female respondents
considered the same for characteristics to be important: negotiating
skills, patience, professionalism, and self-confidence.
Attitudes Concerning Gender and Real Estate
Respondents rated their agreement with three
statements concerning female real estate clients and female real
estate agents. As Table 8 <#eight> shows, women and men agreed
that in a heterosexual couple, the woman generally makes the decision
about which house to buy. Women agreed significantly more than men
with the claim that female real estate agents have a greater understanding
of womens needs in a home, while disagreeing significantly
more than men with claim that the sex of the real estate agent doesnt
matter in real estate transactions.
DISCUSSION
While female and male real estate agents agreed
about many aspects of the real estate profession, there were some
clear differences, particularly related to hours of work. Flexibility
of hours and balancing job and family responsibilities proved the
most important criteria attracting women to the profession, and
women did in fact work significantly fewer hours than the men, The
discrepancy was particularly strong for mothers of children under
fifteen; having children, however, did not impact the number of
hours men worked. This is likely connected to the fact that none
of the husbands of mothers worked less than 40 hours per week while
more than fifty percent of the wives of fathers worked part time
or not at all. Interestingly, when women first got their real estate
license, they predicted they would work more hours than they actually
did, while the reverse was true for men. Once in the profession,
flexibility of hours proved satisfactory for both male and female
respondents, although the amount of time needed for work and balancing
family and career proved slightly less satisfactory than other criteria.
Making money and working with people were
strong motivations and sources of satisfaction for female and male
respondents. While female real estate agents had a significantly
greater overall sense of satisfaction, male respondents also indicated
they were satisfied with the profession--which stands to reason
since the respondents are people who have stayed in the real estate
profession.
In choosing characteristics needed for success
in real estate, both female and male respondents indicated the same
four criteria as most important: negotiating skills, patience, professionalism,
and self-confidence. While both regarded empathy to be an important
attribute, female respondents did in fact consider the so-called
"feminine" characteristic of nurturing skills, as well
as tact and desire to please, to be significantly more important
to success in real estate than did men.
Female and male respondents agreed that in
heterosexual couples, women generally make the final decision about
the house that will be purchased. There were, however, significant
differences in male and female respondents perception of the
role of female real estate agents, in that female respondents believed
more strongly that female real estate agents have a greater understanding
of women's needs in a home and that the sex of the real estate agent
matters. This is an interesting difference that may well be related
to female respondents higher valuation of nurturing skills,
and certainly warrants further research.
CONCLUSION
The results of this research substantiate
anecdotal claims that structural dimensions of the real estate profession
fit the needs of women (and men) who have familial responsibilities.
The results also show that female respondents consider cultural
factors to be beneficial to success in the profession. These findings
are important in understanding the attraction that the real estate
profession holds for women, and this project sets up a road map
for future research, including the determination of what characteristics
actually do prove effective in real estate sales and whether there
are any clear gender differences in the display of these characteristics;
whether female agents, in fact, have an edge in real estate because
of women's traditional association with the home; and the influence
of such factors as ethnicity and class (of both real estate agent
and client). Continued research into women in real estate can have
implications extending beyond the real estate profession. Not only
can we learn how women have changed the shape of a formerly male-dominated
profession, we can also learn more about gender characteristics
within the workplace, and the potential for women and leadership
within other occupations.
NOTE
1See, for instance, Crispen (1978), Johnson,
Nourse, & Day (1988), Roulac (1999).
2For general discussions, see Gilligan (1982),
Chodorow (1999); for discussions in business, see Rosener (1995),
Buttner (2001); for discussions in real estate, see Crispen (1978),
Monroe (1988).
3Only five of the respondents, three women
and two men, were single parents and while no generalizations can
be made from so small a sample, we can note that all worked at least
forty hours per week.
Dr. Karen Schmelzkopf is an Assistant
Professor of Geography in the Department of Interdisciplinary Studies
at Monmouth University. She can be reached via e-mail at: kschmelz@monmouth.edu
Dr. Donald Moliver
is a Professor of Economics at Monmouth University.
REFERENCES
Buttner, E. H. (2001). Examining female entrepreneurs'
management style: An application of a relational frame. Journal
of Business Ethics, 29(3), 253-269.
Chodorow, N. (1999). The reproduction of
mothering, (Reprint edition). Berkeley: University of California
Press.
Crispen, M. (1978). How any woman can get
rich fast in real estate. Kansas City: Sheed Andrews and McNeel.
Evans, B. (1999). REALTORS® are better
than ever, announces the NAR. Realty Times, July 14, p. 1.
Evetts, J. (2000). Analyzing change in womens
careers: Cultural, structural and action dimensions. Gender,
Work, and Organization, 7(1), 57-67.
Gilligan, C. (1982). In a different voice.
Cambridge: Harvard University Press.
Johnson, J., Nourse, H. O., & Day, E.
(1988). Factors related to the selection of a real estate agency
of agent. Journal of Real Estate Research, 3(2), 109-118.
Jud, G. D., & Winkler, D. T. (1999). A
model of real estate sales as a career choice. Journal of Real
Estate Research, 18(3), 481-490.
Monroe, L. (1988). Women in real estate.
Buildings, 82, 55-59.
Reskin, B. F. Queueing and changing occupational
composition. In B. Reskin, & P. Roos (Eds.), Job queues,
gender queues: Explaining women's inroads to male occupations,
(pp. 29-68). Philadelphia: Temple University Press.
Rose, C. (1997, November 30). From garment
industry to selling real estate. Asbury Park Press, p. G1, G3.
Rosener, J. (1995). America's competitive
secret: Utilizing women as a management strategy. New York:
Oxford University Press.
Roulac, S. E. (1999). The role of trust in
real estate. Real estate issues, 24(2), 8 -14.
Smedley, D., & Robinson, L. (1945). Careers
in business for women. New York: Dutton.
Smith, P. L., & Smits, S. J. (1994). The
feminization of leadership? Training & Development, 48(2),
43-46.
Thomas, B. J., & Reskin, B. F. (1990).
A woman's place is selling homes:Occupational change and the feminization
of real estate sales. In B. Reskin, P. Roos (Eds.), Job Queues,
Gender Queues: Explaining Women's Inroads to Male Occupations,
(pp. 183-204). Philadelphia: Temple University Press.
Table 1. Summary of Respondents Gender
of Respondents
Total
Married
Parents of children under age 15
Average age
College education
Average years as realtor
Female
62 (58%)
48 (77%)
22 (35%)
39
30 (52%)
8
Male
44 (42%)
34 (77%)
23 (52%)
37
27 (55%)
7
Table 2.
Analysis of Variances of Comparison of Means for Hours Realtors
Predicted They Work When They First Received Real Estate License
Compared With Actual Hours Worked Once in the Profession Respondents
Hours Predicted to Work
Number
Mean
Standard Deviation
Female
62
37.82
3.09
Male
44
41.48
3.34
Total
106
39.34
3.66
F=33.725
Actual Hours Worked
Female
62
41.77
6.78
Male
44
48.07
6.40
Total
106
44.39
7.29
F=23.223
df=1
p-value=0.000
Parents
and Non Parents
Hours Predicted to Work
Number
Mean
Standard Deviation
Female Parent
23
36.74
2.86
Male Parent
22
41.59
3.23
Female Non-Parent
39
38.46
3.07
Male Non-Parent
22
41.36
3.51
Total
106
39.34
3.66
F=12.952
Actual Hours Worked
Female Parent
23
37.61
3.65
Male Parent
22
48.41
6.05
Female Non-Parent
39
44.23
7.03
Male Non-Parent
22
47.73
6.85
Total
106
44.39
7.29
F=14.367
df=3
p-value=0.000
Table 3.
Chi-Square Results of Hours Real Estate Agents Predicted They Would
Work When They First Received Real Estate License Compared to Actual
Hours Worked. Gender of Respondents
Hours Predicted to Work
Hours
35 40 45
Female Count
31
27
4
Expected Count
21.1
28.1
12.9
Male Count
5
21
18
Expected Count
14.9
19.9
9.1
Chi-square = 26.134 df = 3 p=value = 0.000
Gender
of Respondents Actual Hours Worked
Hours
35 40 45 50+
Female Count
22
14
17
9
Expected Count
14.6
9.9
21.6
15.8
Male Count
3
3
20
18
Expected Count
10.4
7.1
15.4
11.2
Chi-square = 22.390 df = 3 p-value = 0.000
Parents
and Non-Parents Hours Predicted
to Work
Hours
35 40 45
Female Parents Count
16
6
1
Expected Count
7.8
10.4
4.8
Male Parents Count
2
11
9
Expected Count
7.5
10.0
4.6
Female Non-Parents Count
15
21
3
Expected Count
13.2
17.7
8.1
Male Non-Parents Count
3
10
9
Expected Count
7.5
10.0
4.6
Chi-square = 32.912 df = 9 p-value = 0.000
Parents
and Non-Parents Actual Hours
Worked
Hours
35 40 45 50+
Female Parents Count
14
6
3
0
Expected Count
5.4
3.7
8.0
5.9
Male Parents Count
1
1
11
9
Expected Count
5.2
3.5
7.7
5.6
Female Non-Parents Count
8
8
14
9
Expected Count
9.2
6.3
13.6
9.9
Male Non-Parents Count
2
2
9
9
Expected Count
5.2
3.5
7.7
5.6
Chi-square = 38.349 df = 9 p-value = 0.000
Table 4.
Percent of Respondents in Time Categories for Predicated and Actual
Hours of Work Per Week Predicted
Hours Per Week
Less than 40 hours
40 hours
41-50 hours
50 or more hours
Female
50%
44%
6%
0%
Male
11%
48%
40%
0%
Actual
Hours Per Week
Less than 40 hours
40 hours
41-50 hours
50 or more hours
Female
35%
23%
27%
15%
Male
7%
7%
20%
66%
Predicted
Hours Per Week
Less than 40 hours
40 hours
41-50 hours
50 or more hours
Female Parents
70%
26%
4%
0%
Male Parents
9%
50%
41%
0%
Female Non-Parents
38%
54%
8%
0%
Male Non-Parents
14%
45%
41%
0%
Actual
Hours Per Week
Less than 40 hours
40 hours
41-50 hours
50 or more hours
Female Parents
61%
26%
13%
0%
Male Parents
4%
4%
50%
42%
Female Non-Parents
21%
21%
36%
23%
Male Non-Parents
9%
9%
41%
41%
Table 5.
T-Test of Independent Samples Comparing Means of Criteria for Choosing
Real Estate Career
Criteria Gender of Respondents
Mean
Standard Deviation
P-value
Results of buying/selling own home Female
Male
2.77
3.09
1.21
1.12
0.167
Balancing career and family Female
Male
1.92
2.59
1.25
1.09
0.004*
Flexible hours Female
Male
1.50
2.14
0.92
1.00
0.001*
Can make good money Female
Male
1.65
1.70
0.98
0.79
0.731
Can work from home Female
Male
2.00
2.61
1.20
1.20
0.001*
Minimal boss supervision Female
Male
2.40
2.45
1.23
1.13
0.825
Enjoy working with people Female
Male
1.53
2.11
0.86
0.97
0.002*
Couldn't figure out what else to do Female
Male
3.76
3.68
0.67
0.64
0.554
1 = Very Important, 2 = Important, 3 = Somewhat
Important, 4 = Unimportant
* = Significant at the 0.01 level
Table 6. T-Test of Independent Samples
Comparing Means of Satisfaction with Real Estate Profession
Criteria Gender of Respondents
Mean
Standard Deviation
P-value
Balancing career and family Female
Male
2.06
2.36
1.04
0.75
0.106
Flexibility of hours Female
Male
1.87
1.84
0.97
0.83
0.864
Income Female
Male
2.02
1.98
1.00
0.90
0.835
Minimal boss supervision Female
Male
1.61
1.77
0.64
0.89
0.309
Working with clients Female
Male
1.81
1.80
0.79
0.82
0.945
Amount of time needed to work Female
Male
2.21
2.41
0.98
0.90
0.280
Real estate profession in general Female
Male
1.85
2.20
0.74
0.79
0.024*
1 = Very Important, 2 = Important, 3 = Somewhat
Important, 4 = Unimportant
* = Significant at the 0.01 level
Table 7. T-Test of Independent Samples
Comparing Means of Ranking of Characteristics Considered Important
for Success in Real Estate
Attribute Gender of Respondents
Mean
Standard Deviation
P-value
Tact Female
Male
1.32
1.60
0.60
0.73
0.032*
Patience Female
Male
1.14
1.49
0.37
0.67
0.002*
Desire to please Female
Male
1.63
2.37
0.79
0.82
0.000*
Self-confidence Female
Male
1.30
1.42
0.60
0.59
0.317
Tolerance Female
Male
1.32
1.56
0.60
0.73
0.073
Nurturing capacity Female
Male
1.91
2.51
1.02
0.91
0.003*
Good grooming Female
Male
1.54
2.07
0.83
0.83
0.002*
Professionalism Female
Male
1.09
1.40
0.34
0.66
0.003*
Organizational skills Female
Male
1.32
1.84
0.60
0.75
0.000*
Assertiveness Female
Male
1.58
1.81
0.80
0.76
0.142
Empathy Female
Male
1.70
1.98
0.91
0.71
0.103
Negotiating skills Female
Male
1.23
1.26
0.54
0.44
0.783
Tenacity Female
Male
1.42
1.74
0.65
0.83
0.036*
1 = Very Important, 2 = Important, 3 = Somewhat
Important, 4 = Unimportant
* = Significant at the 0.01 level
Table 8. T-Test of Independent Samples
Comparing Means of Perceptions About Women and Real Estate
Statement Gender of Respondent
Mean
Standard Deviation
P-value
In heterosexual couple, the women makes the
ultimate decision about which house to buy Female
Male
2.05
2.19
0.86
0.70
0.368
Female real estate agents have greater understanding
of women's needs in a home Female
Male
1.76
2.65
0.80
0.87
0.000*
Sex of the real estate agent doesn't matter
Female
Male
2.21
1.72
0.79
0.73
0.002*
1 = Strongly Agree, 2 = Agree, 3 = Disagree,
4 = Strongly Disagree
* = Significant at the 0.01 level
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