Introduction
This paper assesses influences on
participation in and contributions to all-employee stock plans, using empirical
data on the U.K. Save As You Earn (SAYE or Sharesave) plan. All-employee stock
plans enable employees to acquire options in their companies' shares while
subscribing to a tax advantageous Save As You Earn saving contract so that
options can be exercised in three, five, or seven years time. These plans have
been popular among U.K. companies and their employees since their introduction
over twenty-five years ago. In most years during the 1990s around one million
employees (3Ð4 percent of the employed workforce) typically subscribed to a new
SAYE offer.
Although
rising markets, discounts on market price, and substantial tax concessions
offered the opportunity for substantial gains at no downside risk, by no means
did all eligible employees participate in SAYE offers (see Engelhardt and
Madrian 2004). This raises an interesting question: what factors influence
whether an employee decides to participate in a SAYE plan? And what influences
how much she decides to contribute?
The
role of ownership of company stock in the increasingly important defined
contribution pension system in the United States has generated considerable
interest in these questions (Mitchell and Schieber 1998). They are important
for companies, policy makers, and researchers. Companies need to estimate the
likely take-up of their share plans as a way of forecasting charges under new
accounting standards. If share plans are seen as a way of spreading wealth
(Gates 1998), it
is important to determine whether subscription-based plans counter or merely
reproduce existing patterns of resource inequality. And for academics
interested in the effects of share plans, what goes into a share plan in terms
of employee characteristics is likely to have a bearing in what comes out in
terms of attitudinal and behavioral effects.
Several
specific questions are posed in this paper: One, to what extent do income
levels determine participation and contributions (relating to the inequality
issue)? Two, how far do other personal characteristics, such as age and gender,
influence these decisions? Three, how important are attitudes toward the firm
and views of the plan itself? Four, does "familiarity" with the company and its
share plans influence the level of contributions, as has been suggested in the
behavioral finance literature (Huberman 2001)? Five, are the balance of factors
influencing participation similar to those influencing contribution levels?
The main findings are as
follows. Income, then age, are the strongest influences on participation, although,
similar to other savings studies, age has a hump-shaped effect (Banks and
Tanner 2001). Contrary to some recent findings on 401(k) plans (Huberman et al.
2003), gender does not have an important effect. Attitudinal factors have a
small effect, but attitudes toward the plan are far more important than
attitudes toward the firm (Dewe et al. 1988). In common with other studies
(Degeorge et al. 2004), determinants of the contribution level decision are
broadly similar to those of the participation decision. Finally, the evidence
is supportive of the view that "familiarity" influences the level of
contributions to employee stock plans.
The
paper makes a contribution by extending analysis of participation in pension
plans to other share ownership plans. It shows that the factors influencing
participation and contributions are similar across different types of savings
plans. The research goes beyond most studies in utilizing attitudinal as well
as demographic information. By collecting data directly from employees rather
than from plan records, the results have a greater depth and richness.
The
paper proceeds by reviewing recent literature on influences on savings
decisions. Some predictions are derived from this literature, and these
predictions are then tested using the U.K. data. Results are presented in sequence
for participation decisions and contribution levels.
Background
The 401(k) literature provides a
useful starting point for formulating propositions about SAYE plans because it
deals with savings decisions in general and decisions to acquire employer stock
in particular. This literature has consistently identified a set of individual
factors that account for both the participation decision and, once this
decision has been made, the contribution level decision. In this section we
extrapolate the main findings from this literature to generate research
questions.
This
literature shows that income is a powerful determinant of employee savings
decisions and contribution levels (Huberman et al. 2003; Kusko et al. 1998;
Degeorge et al. 2004; Munnell et al. 2000; Andrews 1992). Contribution levels
and rates (the fraction of income contributed to the plan) also rise with
income (Bassett et al. 1998; Huberman et al. 2003). Typically, four explanations
for the income effect are proposed: liquidity constraints are inversely related
to income; marginal tax rates generate greater benefits for higher earners;
lower earners can rely more on social security for pension benefits; lower
earners are likely to be less educated and thus face greater "set-up" and
transaction costs in deciding whether to join (Bassett et al. 1998; Huberman et
al. 2003). On this basis, I predict that income will be a powerful determinant
of participation in and contributions to SAYE plans.
Age
is also important, though the effects are less straightforward than those of
income (Kusko et al. 1998; Huberman et al. 2003; Munnell et al. 2000; Andrews
1992). Explanations focus on time horizons and the value of human capital.
Investors with longer time horizons, themselves a function of age, seem likely
to invest a larger proportion of wealth in stocks, all things being equal
(Agnew et al. 1999; Bertaut and Starr-McCluer 2000). But as retirement
approaches, time horizons are truncated, leading to a preference for current
consumption and liquidity. At the same time, the value of future human capital
falls, implying that an optimal investment choice will be to move out of
riskier financial assets (Agnew et al. 2003). Thus, the age is likely to have a
hump-shaped effect.
Predictions
for gender effects are mixed. Women tend to exhibit stronger saving
preferences, possibly because of higher life expectancy. Participation rates
and contribution levels in 401(k) plans are higher among women (Huberman et al.
2003), with the gender gap greatest for lower-income employees. However, women
seem to be more conservative investors than men (Barber and Odean 2001) and are
less likely to subscribe to equities in 401(k) plans (Agnew et al. 2003).
Similarly, Degeorge et al. (2004) find that women are more likely to
participate in an employee share purchase plan but contribute less.
Several
studies have investigated the role of job tenure in explaining participation
and contribution rates but with divergent theoretical predictions. One argument
is that tenure and participation/contributions to employee stock will be
inversely related: investments in firm-specific human capital, proxied by
tenure, should be countered by diversified investments rather than further
concentration in employer stock. An alternative view is that human capital risk
declines with tenure because of greater job security. Thus, an optimal
portfolio balances secure human capital with riskier investment assets, such as
employer stock (Agnew et al. 2003). Overall, the evidence indicates a positive
relationship between participation and contribution in 401 (k) plans and tenure
(Andrews 1992; Bassett et al. 1998; Madrian and Shea 2001). As for stock
purchase plans, Degeorge et al. (2004) find that participation rates are
positively affected by tenure (though the effect is small) while contribution
levels are negatively related.
Employee
attitudes and preferences may also affect employee participation in and
contributions to stock plans, though most of the literature has been unable to
explore this possibility. For instance, risk preferences seem likely to impact
on stock plan behavior (Degeorge et al. 2004). Where a savings opportunity is
stock-based, risk-averse individuals might be less likely to participate and
contribute. Those studies that have incorporated risk aversion have tended to
use proxies for risk rather than more direct measures of preferences: Degeorge
et al. (2004), for instance, use occupational levels on the (questionable)
assumption that employees in higher occupational levels will be less risk
averse.
Employee
participation and contributions could also be influenced by commitment to the
firm (Mitchell and Utkus 2002). More committed employees might express their
commitment through a higher propensity to become involved in stock plans (Dewe
et al. 1988). Certainly, there is evidence that organizational commitment is a
powerful predictor of satisfaction with an employee stock ownership plan (ESOP)
(Klein and Hall 1988). However, the evidence on the role of commitment in
influencing voluntary participation in subscription-based share plans is not
supportive: Dewe et al. find that workers who feel a strong sense of commitment
to the firm are no more likely to want to participate than those who do not
(1988: 19). There is also a possibility that less committed employees may be
more likely to participate and to contribute more. Culpepper et al. 2004 find
that the financial value of an ESOP investment is negatively related to
continuance of commitment, suggesting that a substantial ESOP investment can
give employees greater capability to leave their employment. Their research is
concerned with ESOPs, but similar processes could be at work in share
subscription plans: those employees seeking to leave their employment may be
more likely to contribute so as to build up a "nest egg."
Opinions about the stock plan itself may be a
powerful influence on the decision to contribute. The employee ownership
literature contends that employee-owners seek more control of decision making,
and there is some evidence that satisfaction with employee ownership is
greatest where greater control is secured (Klein and Hall 1988). Klein (1987)
has called this—perhaps confusingly in the present context—an "instrumental orientation."
However, others have argued that a financial orientation tends to be strongest:
employees seek personal profit rather than control from ownership (French
1987). The literature to date has not assessed the role of these possible
orientations in determining employee decisions to participate in
subscription-based stock plans.
A related explanation for
employee subscriptions to employer stock has focused on familiarity (Huberman
2001). The issue at stake here is why employees violate sound investment principles
by investing in employer stock, often to excessive levels. Huberman argues that
people like to invest in what is familiar to them. On this basis, it might be
anticipated that tenure will influence the decision to participate, on the
basis that greater familiarity with stock plans will derive from duration of
employment. Further, contribution levels may be influenced by the length of
time employees have participated in stock plans. The more familiar they are
with the plan, the more they subscribe.
To
summarize, several predictions are made about the influences on decisions
concerning participation in and contribution to SAYE plans: One, income will be
a powerful determinant of participation and contributions. Two, age is likely
to influence both participation and contributions, though the magnitude of
these effects may decline beyond a certain age point. Gender is expected to
have mixed effects: women are predicted to be more likely to participate but to
contribute less (conditional on participation). Three, employee attitudes and
orientations will influence participation and contributions. Employee
commitment to the firm and risk preferences are predicted to positively
influence participation and contributions. It is also predicted that control
over and financial orientation to share plans will have a positive impact on
participation and contribution levels. Four, familiarity with stock plans, as
expressed by tenure, will influence participation. It will also influence
contribution levels, as expressed by the duration of participation in the plan.
The Empirical
Study
Data
were collected from 2,600 employees in three large U.K. companies with Save As
You Earn plans in 1999. Company A is in banking and finance, Company B is a
food manufacturer, and Company C is in leisure and brewing. All three companies
are long-established, listed firms with an established tradition of employee
stock ownership plans. Plan design is similar among the three companies,
primarily because the Inland Revenue rules governing the plan are fairly
prescriptive. For instance, the same discount (20 percent) on market price was
offered. Also, all three companies had experienced rising stock prices over the
previous five years, with similar levels of volatility. These similarities between
the participating companies have advantages and disadvantages. The main
disadvantage is that we cannot systematically explore the role of plan design
and company-specific features in accounting for variations in participation and
contributions. The advantage is that the research design controls to some
extent for company specific factors. This is important given the small number
of companies in the study.
The
survey collected data on all aspects of employee participation in SAYE and
other stock plans. Questionnaires were passed to share plan administrators in
each of the three companies, with the request that line managers distribute
them to their employees on a random basis. The survey responses indicate that
participation rates in SAYE plans are high: two of the companies record take-up
rates of 70 percent or more.
The
SAYE plan is a combined savings and stock option plan. Participating employees
decide on a level of option awards for three or five (extendable to seven)
years hence. Firms may offer up to a 20 percent discount on the market price at
grant, and this is free of income tax. Employees take out a SAYE
tax-advantageous savings plan, with regular payments up to a maximum of £3,000
per annum. At the end of the savings period they can either take the tax-free
lump sum or use it to exercise their SAYE options. Other data from this survey
indicates that about 55 percent exercise and hold, with the remainder choosing
to exercise and sell. Few just take the money from the savings contract. Those retaining
shares are liable to capital gains tax when shares are sold, though the taper
relief introduced since this study was conducted means that the tax liability
declines to zero if shares are retained for four years or more.
Data and
Variables
Two
dependent variables are created for the analysis.
Participation. This is a 0,1 variable recording whether respondents are currently
participating in the SAYE options plan by saving a regular amount each week or
month.
Contribution. This is a
continuous measure of the amount SAYE participants are saving each year.
Nonparticipants are excluded, so this variable is always greater than zero. It
is presented in log form in the regressions.
The independent
variables are as follows:
Age. Respondents were asked their age, using a five-category ordinal question. This
has been converted into four dummy variables for each of the following age
categories: 26Ð34, 35Ð44, 45Ð54, and 55 and older, with 16Ð25 as the reference
group.
Salary. An eight-category question on
respondents' income was converted into three dummies. These are annual salary
categories of £10,000Ð19,999, £20,000Ð29,999, £30,000 and above, with £1Ð9,999
as the reference group.
Sex. This is a 0,1 dummy (female is 1).
Tenure. This measures the length of employment
in years.
Commitment. Employees were asked the six positively worded
five-point items from the British Organizational Commitment scale (Cook and
Wall 1980). Exploratory factor analysis was used to determine the underlying
factors, bearing in mind that three factors typically arise in research into
organizational commitment. In this case all items loaded onto one factor. The
items were therefore combined together into a single scale with lower scores
indicating higher levels of commitment (Alpha = 0.83).
Risk
Preferences. A
single item was used to measure employees' orientations toward risk.
Respondents were asked to respond to the statement "Share ownership is only
worthwhile if there is no risk involved," using a five-point scale, where 1 =
strongly agree and 5 = strongly disagree.
Control. This is a single-item, five-point
scale based on a question as to whether stock plans are a good way of securing
greater control of the company.
Financial. This assesses financial
orientations to the stock plan. Respondents were asked to what extent they see
the stock plan as delivering financial benefits to workers. It is a five-point,
single-item scale.
SAYE Duration. This is an ordered category
variable (1Ð5) recording the length of time the respondent has participated in
the SAYE plan. This proxies for familiarity when I analyze contributions (see
table 1).
Results
Participation
The first
analysis assesses the determinants of participation in the SAYE plan. Four
models are estimated, as seen in table 2. The first includes just age, sex, and
income, without company dummies. The second adds company dummies. The third
model adds tenure, while the fourth includes employee commitment to the firm,
risk preferences, and orientation to share plans. The probit models show marginal
probabilities (when other variables are held at their means) rather than
coefficients because the former are easier to interpret.
The
first model (as do subsequent models) shows that salary is a powerful
determinant of participation. Marginal effects rise with each income category
and are substantial for salaries of £20,000 or more. These results are robust
to the insertion of company dummies and other variables. Age is also important: the results
indicate a hump-shaped effect, with the probability of participating in SAYE
plans rising with age up until age fifty-five. Beyond this age the probability
of participating in SAYE is not much higher than the under twenty-five group,
and the results are not significant at 0.05. In the first model sex is significantly
negative, indicating that women are more likely to subscribe. However, this
result is sensitive to the inclusion of company dummies. The dummy for the
brewing company is significant: many of this company's employees are female.
Model 3 also includes tenure. In this model, tenure has a tiny marginal effect
(too small to be recorded at two decimal places), though this effect is
significant at 0.01. The age effects are slightly smaller in this model than in
the previous model, suggesting some of these effects are now embodied in
tenure. Age and tenure are highly correlated in the data (r = 0.5706), as all
three organizations provide career employment (mean tenure = eleven years;
median tenure = nine years). Nevertheless, the overall conclusion is that age
is a more significant determinant of participation than tenure. This also
suggests that familiarity is not a significant influence on the decision to
participate, once other factors are controlled for.
Model
4 adds the various attitudinal variables. Here the results are mixed.
Surprisingly, participation in SAYE plans is associated with lower rather than higher levels of
commitment to the organization. It is difficult to explain why this is so. At
the least it implies that the decision to participate in SAYE is in some sense
separate from attitudes toward the firm. According to this interpretation, SAYE
would appear to be perceived as a savings opportunity made available by the
firm but not linked to the firm in any close way. This implies a strongly
instrumental approach toward SAYE participation.
We
also test the role of views about share plans in general. As can be seen in
Model 4, a control orientation has no effect at all on the decision to
participate. Caution must be exercised in interpreting this result: it does not
necessarily mean that share plan participants are uninterested in control but
merely that participants are not more likely than nonparticipants to view SAYE
plans as a means of gaining greater control. This is well-founded because
research evidence indicates that share plans do not give significant governance
rights—de jure or de facto—to employees (Pendleton 1997). By contrast, the
result for a financial orientation to share plans is positive and significant
at 1 percent. The probability of joining SAYE is greater among those who view
share plans as a good way of saving for the future. This reinforces the
interpretation that participation in SAYE plans is influenced by instrumental
reasoning. Finally, those with positive risk preferences have a slightly higher
probability of participating in SAYE.
Contribution
Rates
The next stage of the
analysis is an investigation of the determinants of contribution levels
(measured in log form). Five models are presented in table 3. The first is a
basic model comprising measures of income, age, sex, and company dummies. The
second includes the tenure variable, while the third further adds the measure
for commitment to the organization. The fourth model also includes the measures
for risk preferences and orientations toward share ownership plans. The final
model includes the measure for duration of participation in SAYE and is
designed to test the proposition that familiarity influences contribution
levels.
The
results for the determinants of contributions are much as expected. In Model 1
salary is clearly the strongest determinant of contribution levels, with the
highest beta attached to the highest salary category. Contribution levels also
rise with age up until the fifty-five and over age group. Sex does not have
significant effects. These results are very similar to the structure of results
for participation in SAYE. When tenure is added, the age effects are attenuated
somewhat though they remain strong. However, tenure has significant effects on
contributions independently of age. This finding is consistent through all but
the final specification and appears to indicate a familiarity effect (see
below). In Model 3 commitment is added and is significant at 95 percent in the
direction predicted—that is, more committed employees tend to contribute more.
However, when the measure for risk preferences is inserted (Model 4), its
effect is halved and becomes insignificant. Risk preference is a sizeable and
significant influence on contribution levels. In Model 4 orientations toward
share plans are included: the view that share plans enable greater employee
control is negative and insignificant, while the view that share plans provide
a good ways of securing a financial return is significantly related to contribution
levels in the direction expected.
Finally,
Model 5 assesses the effect of familiarity on SAYE contributions. The measure
for duration of participation in SAYE plans is strongly positive (significant
at 0.001), and the model fit improves from 0.22 to 0.32. The finding that
length of duration in SAYE plans is related to contribution levels suggests
that familiarity is an important influence, given that the influence of income
(also expected to rise with longevity of employment) continues to be strong. It
is notable that age effects are much reduced and that tenure becomes negative.
In other words, it appears not to be age or tenure per se that influence
contribution levels but increasing familiarity with SAYE as employees grow
older and accrue tenure.
Summary and
Conclusions
Several
observations can be made in relation to the questions raised at the outset.
First, income is clearly an important influence on participation and
contributions, and this finding is consistent with both the 401(k) and broader
savings literature. Second, age is also important, though to a lesser extent.
Third, there is some evidence that views and attitudes can influence
participation and contribution levels. The most important views are those
associated with risk preferences and a belief that share plans are a good way
of achieving financial returns. The influence of commitment to the organization
is the opposite of what was expected for participation but an insignificant
determinant of contribution levels. These findings are consistent with those of
Dewe et al. (1988) in that beliefs about the plan are more important than
attitudes toward the firm. However, the overall contribution of these
influences should not be overstated: model fit improves only slightly with the
addition of these variables. Fourth, familiarity appears to influence
participation levels and has a large impact on the size of contributions, conditional
on participation.
The
final question is whether the factors influencing participation are similar to
those influencing contribution levels. On the whole the answer is yes, since
most of the variables share similar signs and significance levels between the
two though with some qualifications. However, differences in the company
dummies indicate that company actions and characteristics can influence
participation levels but not, on the whole, contribution levels. In summary,
these results confirm earlier findings that emphasise the role of income and
age. The novelty of the study is that the role of attitudes can be assessed but
the results indicate that these are of limited importance.
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