Self-employment, efficiency wage, and public policies.
Kumar, Alok
I. INTRODUCTION
Self-employed workers constitute an important segment of the labor
force. In Organization for Economic Cooperation and Development (OECD)
countries, the proportion of self-employed workers varies between 8% and
30% (Blanchflower 2004). In many developing countries they constitute
the majority of workers (Gollin 2008).
In this article, I develop a model of self-employment which allows
for transitions between unemployment and self-employment. I analyze the
effects of tax and labor market policies on the self-employment rate and
the transition between unemployment and self-employment. This study is
motivated by the substantial empirical evidence of transitions between
unemployment and self-employment and the empirical literature linking
higher unemployment benefits to lower rates of self-employment.
Empirical evidence from several countries shows that unemployed
workers are two to three times more likely to become self-employed than
wage-employed workers (e.g., Evans and Leighton 1989 for the United
States, Kuhn and Schuetze 2001 for Canada, and Carrasco 1999 for Spain).
There is a view that many individuals choose self-employment due to
limited job opportunities (Alba-Ramirez 1994; Blanchflower 2004; Storey
1991).
At the same time, there is substantial empirical evidence that a
higher unemployment benefit is associated with a lower rate of
self-employment. Carrasco (1999) finds that a higher unemployment
benefit reduced the transition rate of unemployed workers to
self-employment in Spain. Parker and Robson (2000) find a significant
negative association between unemployment benefits and self-employment
in OECD countries.
The transitions between unemployment and self-employment and
factors affecting them are also very important policy issues.
Governments in many countries consider self-employment to be a possible
solution to their unemployment problem. Many countries (e.g., Australia,
Germany, United Kingdom, and United States) have introduced government
programs to encourage unemployed workers to become self-employed.
Existing models of entrepreneurship (self-employment) typically
assume a perfectly competitive environment in the labor market in which
there is no unemployment (e.g., Kanbur 1979, 1981; Kihlstrom and Laffont
1979; Lucas 1978). In these models, workers choose between wage
employment and entrepreneurship. The absence of unemployment in these
models and their static nature preclude the analysis of transitions
between self-employment and unemployment and factors affecting them.
In this article, I integrate two strands of theoretical
literature--models of occupational choice and models of efficiency wage
to explain the above-mentioned empirical findings. In particular, I
embed the shirking model of Shapiro and Stiglitz (1984) in the
occupational choice framework. Shapiro and Stiglitz's model is one
of the most influential models of unemployment. Dickens et al. (1989)
provide evidence with regard to the importance of worker theft and
shirking and argue that these phenomena are essential to understand the
labor market. In addition, this model is highly tractable analytically.
The model developed in this article distinguishes among three labor
market states: self-employment, wage employment, and unemployment.
Agents in the model can choose to be either self-employed or wage
workers in any time period. Wage workers can be unemployed or wage (or
salary) employed. Self-employed workers create firms and hire workers to
produce.
This article focuses on the flows between unemployment and
self-employment. In this model, only unemployed workers choose to become
self-employed in equilibrium. I do this because existing models allow
workers to choose only between employer status (entrepreneurship) and
wage employment and ignore the flows between unemployment and
self-employment. I view my model as shedding light on a very important,
largely neglected, and interesting component of self-employment. In
addition, as mentioned earlier, empirical evidence suggests that
unemployed workers are much more likely to become self-employed than
wage-employed workers. Finally, focusing on these flows allows me to
clearly differentiate my approach and the mechanism from the existing
models.
In the model developed in this article, I examine the effects of
three important policies-unemployment benefits, start-up cost subsidy,
and wage tax. My primary findings regarding the effects of these
policies are as follows. First, I find that higher unemployment benefits
reduce the self-employment rate and the rate of transition of unemployed
workers to both self-employment and wage employment, which are
consistent with existing empirical evidence.
Second, I find that changes in unemployment benefits do not affect
wages. This prediction is consistent with a large body of empirical
literature which suggests that changes in unemployment benefits have a
negligible effect on post-unemployment wages (e.g., Addison and
Blackburn 2000; Blau and Robins 1986; Classen 1977; Meyer 1995).
Third, a lower start-up cost subsidy reduces the self-employment
rate and the rate of transition of unemployed workers to both
self-employment and wage employment. These results are consistent with
substantial empirical evidence which suggest that a higher start-up cost
reduces new business formation and entrepreneurial activity (e.g., Desai
et al. 2003; Djankov et al. 2009; Klapper et al. 2006; Nystrom 2008).
Finally, a higher wage tax may reduce the self-employment rate and
the rate of transition of unemployed workers to self-employment. The
negative effect of a higher wage tax on the self-employment rate is in
contrast to the prediction of models based on competitive labor markets.
In these models, a higher wage tax increases the self-employment rate.
The remainder of the article is organized as follows. In Section
II, I describe the environment. In Section III, I analyze the optimal
decisions of self-employed and wage workers. In Section IV, I prove the
existence and uniqueness of a stationary equilibrium. In Section V, I
analyze the effects of taxes and subsidies. This is followed by a
conclusion. All proofs are in the Appendix.
II. ENVIRONMENT
Time is continuous. Consider a labor market consisting of a unit
measure of risk-averse infinitely lived agents. These agents discount
the future at the common rate r. These agents can either be
self-employed or unemployed or wage employed (employees). Unemployed and
wage-employed workers together constitute wage workers. No agent in the
model can be in more than one state. Assuming occupational choice as a
discrete rather than a continuous variable is standard in the literature
(e.g., Kanbur 1979, 1981; Kihlstrom and Laffont 1979; Lucas 1978).
Let E, N, and U be the measures of employers, wage-employed
workers, and unemployed workers, respectively, in the economy. Thus at
any time,
(1) E + N + U = 1.
Note that total employment at any time is given by the sum of
self-employed and wage-employed workers, E + N.
An unemployed worker can choose to be self-employed at any point in
time. However, the opportunities to become an employee arise randomly
for an individual unemployed worker. Let f be the job-finding rate (or
the transition rate of unemployed workers to wage employment) and [phi]
be the transition rate of unemployed workers to self-employment.
Individual agents take [phi] and f as given. However, in the model both
[phi] and f are endogenous and are determined in equilibrium. The
transition rate of unemployed workers to self-employment is determined
by the fraction of unemployed workers who choose to join self-employment
at each point in time. The job-finding rate is determined by the number
of unemployed workers who choose to search for wage jobs and the number
of workers hired by employers.
In the model, wage-employed workers can also choose to become
self-employed at any point in time. However, as we will see below, no
wage-employed worker chooses to become self-employed in equilibrium.
Only unemployed workers choose to become self-employed. As mentioned
earlier, the focus on the transitions between unemployment and
self-employment allows me to clearly differentiate my approach and
mechanism from existing models.
Self-employed workers create and manage firms (or businesses) and
organize production. Production at a firm depends on the number of
employees, n, and the average effort level of employees, e. When firms
want to hire workers, they choose workers at random from the pool of
unemployed workers searching for wage jobs. For future reference, I call
unemployed workers who do not choose to become self-employed but search
for wage jobs as unemployed wage workers.
The production function is assumed to be an increasing and concave
function of the number of employees and the average effort level. The
production function is given by (1)
(2) [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]
Since self-employed workers are also employers, I use these two
terms interchangeably throughout the article. Assume that an employer
can create and manage just one firm at a time. Thus, at any time the
number of employers and firms are equal. Starting a business/firm
requires a one-time start-up cost, K. This cost is incurred by new
employers (business entrants).
Employers face the possibility of business failure. Assume that at
any point in time, an employer receives an exogenous business failure
shock at the rate of [mu]. In the case an employer receives a business
failure shock, both the employer and employees become unemployed. A
business failure shock is entirely temporary and a failed employer can
start a business after a spell of unemployment. This assumption ensures
that agents are inherently identical. The idea is that if an employer
fails in one business, it does not preclude her from successfully
starting another business.
Let the period utility function of employers and unemployed workers
be
(3) u(c)
where c is the net income and [u.sub.c](c) > 0 and [u.sub.cc(]c)
< 0.
Suppose that the utility of an employed wage worker depends on both
his or her net income and the effort level exerted by him or her. More
specifically, let the period utility function of an employed wage worker
be
(4) u(c) - [??].
Suppose that there are only two possible effort levels, [??] = 1
and [??] = 0. (2) Thus employed wage workers can be in two states:
either exerting effort ([??] = 1) or shirking (5 = 0). Suppose that
employers can observe effort levels of employees only imperfectly. An
employer can detect a shirking worker at the exogenous rate 9 per unit
of time. In the case a shirking worker is detected, he or she is fired
and becomes unemployed. Note that an employee can also become unemployed
due to business failure.
There is a government that imposes wage tax and pays unemployment
benefits to unemployed workers and start-up cost subsidy to new business
entrants. Suppose that the government imposes a constant proportional wage tax, [[tau].sub.w] (0 < [[tau].sub.w] < 1), on the incomes of
wage workers (both unemployed and employed). Also suppose that the
government pays each new employer a proportional subsidy equal to
[[tau].sub.s] (0 < [[tau].sub.s] < 1). Finally, assume that an
unemployed worker receives unemployment benefits, b, per unit of time
from the government as long as he or she is unemployed.
Let [[lambda].sup.n] , [[lambda].sup.s], [[??].sup.u], and [pi] be
the value functions (expected life-time utility under optimal
strategies) of a non-shirking wage-employed worker, a shirking
wage-employed worker, an unemployed wage worker, and a new employer,
respectively. Then, anticipating an equilibrium in which the value
function of a non-shirking wage-employed worker is greater than or equal
to the value functions of a shirking wage-employed worker, an unemployed
wage worker, and a new employer (i.e., [[lambda].sup.n] [greater than or
equal to] [[lambda].sup.s], [[??].sup.u], [pi]), the evolution of the
number of unemployed workers, wage-employed workers, and employers is
given by
(5) [??] = [micro]N + [micro]E - (f + [phi])U;
(6) [??] = fU - [micro]N; and
(7) [??] = [phi]U - [micro]E.
The left-hand side (LHS) of Equation (5) is the change in the
number of unemployed workers. The first term on the right-hand side
(RHS) is the number of wage-employed workers who become unemployed. The
second term is the number of employers who become unemployed due to
business failures. The last term is the number of unemployed workers who
either become wage employed or employers.
The LHS of Equation (6) is the change in the number of wage
employed workers. The first term on the RHS is the inflow to the wage
employment pool. The second term is the outflow from the wage employment
pool.
The LHS of Equation (7) is the change in the total number of
employers. The first term on the RHS is the number of unemployed workers
who become employers. The second term is the total number of employers
who receive business failure shocks.
III. OPTIMAL DECISIONS
I first describe the optimal choices of wage workers and then of
employers.
A. Wage Workers
A wage worker chooses whether to open a business or not, a job
acceptance strategy and the optimal effort level to maximize his or her
expected life-time utility; taking as given the job-finding rate, the
transition rate of unemployed workers to self-employment, and the
strategies of employers and other wage workers. Let w be the wage paid
to employees.
Recall that an unemployed worker can choose to become a business
owner or an unemployed wage worker (i.e., search for a wage job) at any
point in time. Let [[lambda].sup.u] be the value function of an
unemployed worker. Then, [[lambda].sup.u] satisfies
(8) [[lambda].sup.u] = max < [pi], [[??].sup.u] >.
An unemployed worker will choose to become a business owner [pi]
> [[??].sup.u]. On the other hand, he or she will choose to become an
unemployed wage worker iff [[??].sup.u] > [pi].
The value functions of non-shirking employed wage workers, shirking
employed wage workers, and unemployed wage workers are given by
(9) r[[??].sup.u] = u(b(1 - [[tau].sub.w])) + f([[lambda].sup.n] -
[[lambda].sup.u]);
(10) r[[??].sup.n] = u(w(1 - [[tau].sub.w])) - 1 -
[mu]([[lambda].sup.n] - [[lambda].sup.u]); and
(11) r[[??].sup.u] = u(w(1 - [[tau].sub.w])) - ([rho] +
[mu])([[lambda].sup.s] - [[lambda].sup.u])
Equation (9) reflects the fact that the net flow of utility to an
unemployed wage worker is u(b(1 - [[tau].sub.w])), and he or she finds a
wage job at the rate of f, in which case he or she becomes wage
employed. The value function of unemployed wage workers is increasing in
b and decreasing in [[tau].sub.w].
Equation (10) can be interpreted in a similar fashion. The net flow
of utility to a non-shirking wage-employed worker is u(w(1 -
[[tau].sub.w])) - 1. He or she can become unemployed at the rate of
[mu]. Note that in the case of losing a wage job, he or she can choose
to become either a business owner or an unemployed wage worker. Thus,
the net utility loss in the case of losing a wage job is
[[lambda].sup.n] - [[lambda].sup.u]. Finally, the net utility flow of a
shirking wage-employed worker is u(w(1 - [[tau].sub.w])). However, he or
she can become unemployed at the rate of [rho] + [mu]. The value
functions of both shirking and non-shirking employed wage workers are
increasing in net income, w(1 - [[tau].sub.w]).
The optimal job-acceptance strategy for an unemployed wage worker
is to accept a job iff [[lambda].sup.n] > [[??].sup.n]. An employed
wage worker will not shirk iff [[lambda].sup.n] [greater than or equal
to] [[lambda].sup.s]. In addition, an employed wage worker will not
choose to become an employer iff [[lambda].sup.n] [greater than or equal
to] [pi].
B. Employers
A new employer incurs a start-up cost of K and receives a subsidy
proportional to the start-up cost. Thus, the value function of a new
employer is
(12) [pi] = [pi](n) - (1 - [[tau].sub.s]) K
where n is the number of workers hired.
Equation (12) shows that [pi] is increasing in the start-up cost
subsidy.
An employer chooses the number of workers to hire and the wages to
be paid to maximize his or her expected life-time utility, taking as
given the job-finding rate, the transition rate of unemployed workers to
self-employment, and the strategies of wage workers and other employers.
While setting wages, an employer takes into account the incentives of
employees. He or she sets wages such that employees are indifferent between shirking and non-shirking:
(13) [[lambda].sup.s] = [[lambda].sup.n].
Combining Equations (10), (11), and (13), I have
(14) [[lambda].sup.n] - [[lambda].sup.u] = 1/[rho].
Equation (14) implicitly solves for wages.
Since employers pay efficiency wages, no employee shirks and thus,
[??] = 1. From now on, I set the average effort level e = [??] = 1.
Turning to the optimal decision with regard to hiring, an employer
chooses n to maximize his or her expected intertemporal utility,
[pi](n), given by
(15) [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]
where w solves Equation (14). Equation (15) can be interpreted as
follows. The first term is the net flow of utility from profit to an
employer. The second term is the expected continuation value, which
takes into account that he or she can fail at the rate of [mu].
The optimal number of employees, n, is given by
(16) [F.sub.n](n) = w
which equates the marginal product of labor to (efficiency) wages.
IV. EQUILIBRIUM
In the economy, all employers are identical. They choose identical
wages and numbers of employees. Thus, the average wage and the average
employer size in the economy will be equal to w and n, respectively.
Similarly, wage workers are identical and thus they choose the same
optimal strategies. In equilibrium, the choices and strategies of
employers and wage workers will be consistent with the job-finding rate
and the rate of transition of unemployed workers to self-employment.
Also the job-finding rate and the rate of transition of unemployed
workers to self-employment will be consistent with the choices and the
strategies of employers and wage workers.
Note that in the model one cannot have [[lambda].sup.n] < [pi]
in equilibrium. If [[lambda].sup.n] < [pi], then all agents would
become employers and wages, w = [F.sub.n], (n), will go to infinity as n
[right arrow] 0. This will lead to [[lambda].sup.n] [right arrow]
[infinity]. Also when [??] > [pi], no agent would choose to be an
employer. So the only interesting case left is that [[??].sup.u] [less
than or equal to] [pi] < [[lambda].sup.n]. (3) In this equilibrium,
no wage-employed worker would have an incentive to become self-employed.
Finally, [pi] > [[??].sup.u] cannot be an equilibrium. In this case,
every agent would like to become self-employed and thus [pi] = -(1 -
[[tau].sub.s]) K < 0. But [[??].sup.u] > 0, and so there is a
contradiction.
Thus in equilibrium, an unemployed worker would be indifferent
between the two states of self-employment and being an unemployed wage
worker at any point in time. Therefore, we have
(17) [pi] = [[??].sup.u] = [[lambda].sup.u].
In the steady state, the inflows to and outflows from any state are
equal. Also the total number of wage-employed workers is equal to the
total number of employees, N = nE. Then utilizing Equations (1) and
(5)-(7), one can derive expressions for the equilibrium number of
employers, wage-employed workers, unemployed workers, and the transition
rate of unemployed workers to self-employment (see Appendix).
The equilibrium number of employers is given by
(18) E = f/([mu]n + (1 + n) f); [E.sub.f] > 0, [E.sub.n] < 0.
Equation (18) is the key equation of the model. It shows that the
equilibrium number of employers is increasing in f and decreasing in n.
Intuitively, for a given n a higher f requires that in equilibrium the
number of employers be larger. On the other hand, for a given f, a
higher n leads to a smaller number of employers.
Similarly, one can derive expressions for the equilibrium number of
wage-employed workers and unemployed workers, which are given by
(19) N = fn/([mu]n + (1 + n) f); [N.sub.f] > 0, [N.sub.n] >
0;
and
(20) U = [mu]n/([mu]n + (1 + n) f); [U.sub.f] <0, [U.sub.n] >
0.
Equation (19) shows that the equilibrium N is increasing in both f
and n. Equation (20) shows that the equilibrium number of unemployed
workers is decreasing in f and increasing in n. Since total employment,
N + E = 1 - U, total employment is increasing in f and decreasing in n.
Finally, the expression for the transition rate of unemployed
workers to self-employment is given by
(21) [phi] = f/n with [[phi].sub.f] > 0, [[phi].sub.n] < 0.
The transition rate of unemployed workers to self-employment is
increasing in f and decreasing in n. Intuitively, a higher f implies
that the outflow from unemployment to wage employment is higher. Then
for a given n, the number of employers must be higher to maintain
equilibrium leading to a higher do. Similarly, for a given f, a higher n
implies a smaller number of employers and thus a lower [phi].
Note that Equation (21) shows that the average employer size, n =
f/[phi], is given by the ratio of the job-finding rate and the
transition rate of unemployed workers to self-employment.
Thus, n can be interpreted as the relative rate of transitions into
wage employment and self-employment by unemployed workers.
A. Wages
Equations (9), (10), (14), and (17) imply that wage implicitly
solves
(22) u(w(1 - [[tau].sub.w])) = u(b(1 - [[tau].sub.w])) + 1 + ((r +
[mu] + f)/[rho]).
The third term in the RHS of Equation (22) is the wage premium
employers must pay to prevent employees from shirking. It is this wage
premium that generates unemployment in equilibrium. At wage w every wage
worker would like to work, but employers do not hire all of them to
prevent employees from shirking.
Equation (22) shows that w is increasing in both b and f. The
reason is that a rise in b and f increases the relative attraction of
outside option (unemployment) to employees. Thus, employers must pay
more to prevent employees from shirking.
The effect of changes in the wage tax is more complicated. The
implicit differentiation of Equation (22) with respect to [[tau].sub.w]
for a given f shows that
(23) dw/d[[tau].sub.w] = [1/[1 - [[tau].sub.w]] [w - [u.sub.c](b(1
- [[tau].sub.w]))b/[u.sub.c] (w(1 - [[tau].sub.w]))].
The sign of dw/d[[tau].sub.w] depends on the sign of the term w -
([u.sub.c](b(1 - [[tau].sub.w]))b/[u.sub.c](w(1 - [[tau].sub.w]))). To
show the effects of changes in [[tau].sub.w], assume that workers have
the CRRA utility function u(c) = ([c.sup.1-[alpha]]/1 - [alpha]). Then,
Equation (23) shows that for any w > b
(24) dw/d[[tau].sub.w] > 0 if [alpha] < 1 and
dw/d[[tau].sub.w] < 0 if [alpha] > 1
for a given f. In the case of a logarithmic utility function
([alpha] = 1), changes in [[tau].sub.w] have no effect on wages.
An increase in [[tau].sub.w] reduces the net income and thus the
utility of both employees and unemployed wage workers. The effect of an
increase in [[tau].sub.w] on w depends on whether the fall in the
utility of employees, [u.sub.c] (w (1 - [[tau].sub.w])) to, is more or
less than the fall in the utility of unemployed wage workers,
[u.sub.c](b(1 - [[tau].sub.w]))b. If the fall in the utility of
employees is relatively more, then wages must rise to induce employees
not to shirk. When [alpha] < 1, [u.sub.c](w(1 - [[tau].sub.w]))w >
[u.sub.c](b(1 - [[tau].sub.w]))b and thus to rises. On the other hand,
when [alpha] > 1, [u.sub.c](w(1 - [[tau].sub.w]))w < [u.sub.c](b(1
[[tau].sub.w]))b and thus to falls. In the case of [alpha] = 1, the
utilities of both employees and unemployed wage workers fall by the same
amount, leaving wages unchanged.
B. Employer-Size Curve
Equation (17) pins down the distribution of workers between
employers and wage workers. Using (9), (12), and (14)-(17) (see
Appendix), one can derive a relationship between f and n given by
(25) u(F(n) - n[F.sub.n](n)) = u(b(1 - [[tau].sub.w])) + (f/[rho])
+ ([mu] + r)(1 - [[tau].sub.s])K.
Since Equation (25) determines the ratio of wage workers to
employers, I call this curve the employer-size (ES) curve. It traces an
upward relationship between f and n in the (n, f) space.
The intuition for the positive relationship between f and n is
quite simple. Other things remaining the same, an increase in f raises
the relative return of unemployed wage workers. Thus for equilibrium to
be maintained, the return from self-employment must rise. Since the
profit of employers, F(n) - [F.sub.n](n)n, is increasing in n, the
average employer size rises. Alternatively, wages must fall, which
increases the profit of employers and reduces the return from being an
unemployed wage worker. A fall in wages requires n to rise.
Equation (25) shows that a lower start-up cost subsidy shifts the
ES curve downward to the right in the (n, f) space, that is, for a given
n the associated value of f falls. The intuition is that a lower
start-up cost subsidy reduces the relative return from self-employment.
Thus, more unemployed workers choose to search for wage jobs and the
number of new business entrants falls. An increase in the number of
unemployed wage workers and a fall in the number of employers reduce f.
A higher unemployment benefit and a lower wage tax have similar effects
as they increase the relative return from being an unemployed wage
worker compared to being a self-employed worker.
C. Job-Creation Curve
By combining Equations (16) and (22), I get another equation in n
and f given by
(26) u([F.sub.n](n)(1 - [[tau].sub.w])) = u(b(1 - [[tau].sub.w])) +
1 + ((r + [mu] + f)/[rho]).
Equation (26) gives a negative relationship between f and n and
traces a downward sloping curve in the (n, f) space. I call this curve
the job-creation (JC) curve. The reason for the negative relationship
between the two is efficiency wage considerations. A higher n reduces
the marginal product of labor and thus wages must fall. But then to
prevent employees from shirking it must be the case that f falls.
Equation (26) shows that a higher unemployment benefit shifts the
JC curve down to the left in the (n, f) space, that is, for a given n
associated f falls. For the CRRA utility function, a higher wage tax has
a similar effect for [alpha] < 1. This happens because in both cases
unemployment becomes more attractive relative to wage employment and
thus the associated job-finding rate must fall to prevent employees from
shirking.
When [alpha] = 1, a change in wage tax has no effect on the JC
curve as it does not affect the relative attractiveness of unemployment
vis-a-vis wage employment leaving the associated job-finding rate
unaffected. On the other hand, for [alpha] > 1, a higher wage tax
shifts the JC curve up in the (n, f) space. In this case, a higher wage
tax makes unemployment less attractive relative to wage employment and
thus the associated job-finding rate rises.
D. Existence of Equilibrium
The intersection of the JC and ES curves determines the equilibrium
job-finding rate, [f.sup.*], and the average employer size, [n.sup.*].
LEMMA 1. Under the assumptions that F(O) = 0, [lim.sub.n [right
arrow] 0] [F.sub.n](n) = [infinity], [lim.sub.n [right arrow] 0] n
[F.sub.n](n) = 0, and u([infinity]) - A > u(0), where A is a constant
given by
A = 1 + (r + [mu]/[rho]) - ([mu] + r)(1 - [[tau].sub.s])K
there exists a unique and strictly positive and finite pair of
([[n.sup.*], [f.sup.*]), which solve Equations (25) and (26).
The proof of Lemma 1 is in the Appendix. Once [f.sup.*] and
[n.sup.*] are determined, one can back out equilibrium values of other
endogenous variables. Hence, I have the following proposition:
PROPOSITION 1. There exists a steady-state equilibrium
characterized by Equations (17)-(22), (25), and (26).
The existence of equilibrium is illustrated below in Figure 1.
V. EFFECTS OF PUBLIC POLICIES
A. Start-up Cost Subsidy
The start-up cost subsidy affects only the ES curve (see Equation
(25)). A lower start-up cost subsidy shifts the ES curve downward to the
right in the (n, f) space. Thus, the equilibrium job-finding rate falls
and the average employer size rises.
[FIGURE 1 OMITTED]
The mechanism of these results is as follows. A lower start-up cost
subsidy reduces the relative return from self-employment, which results
in a fall in the number of new business entrants. This negatively
affects the job-finding rate in two ways. First, more unemployed wage
workers search for wage jobs. Second, a lower number of employers reduce
the demand for workers. A fall in the job-finding rate reduces the
efficiency wage, which induces employers to hire more workers.
PROPOSITION 2. A lower start-up cost subsidy, [[tau].sub.s],
reduces the number of employers, E, the transition rate of unemployed
workers to self-employment, [phi], and the job-finding rate, f .
Furthermore, it increases the average employer size, n, unemployment, U,
and reduces total employment, E + N, and wage, w.
Note that since both f and [phi] fall and n rises, it implies that
[phi] falls relatively more than f. A lower [[tau].sub.s] reduces the
transition rate of unemployed workers to self-employment relatively more
than the job-finding rate. In addition, a lower start-up cost subsidy
may increase or lower wage employment, because E falls and n rises
(Figure 2).
B. Unemployment Benefits
To analyze the effects of unemployment benefits, it is convenient
to combine Equations (25) and (26). Combining these two equations, I get
one equation in one unknown, n:
(27) u(F(n) - [F.sub.n](n)n) = u([F.sub.n](n)(1 - [[tau].sub.w])) -
1 - (r + [mu]/[rho]) + ([mu] + r)(1 - [[tau].sub.s])K.
[FIGURE 2 OMITTED]
In the proof of Lemma 1, I show that there exists a unique
[n.sup.*] which solves Equation (27).
Equation (27) shows that the average employer size is independent
of the unemployment benefit. Then from Equation (26) it follows that a
higher unemployment benefit reduces the equilibrium job-finding rate.
As discussed earlier, a higher unemployment benefit shifts the JC
curve downward to the left in the (n, f) space as a higher b makes
unemployment more attractive relative to wage employment. Thus, both n
and f fall. On the other hand, a higher unemployment benefit shifts the
ES curve downward to the fight in the (n, f) space as it increases the
return from being an unemployed wage worker relative to being a
self-employed worker. This leads to a fall in f, but a rise in n. The
result is that f unambiguously falls. However, a reduction in n
resulting from the shift in the JC curve is completely offset by the
shift in the ES curve.
Intuitively, an increase in b has two effects. First, a higher b
increases wages, which reduces n. A decline in n reduces the job-finding
rate. Second, a higher b reduces the number of new business entrants and
increases the pool of unemployed wage workers. This further reduces the
job-finding rate. This additional reduction in the job-finding rate
induces employers to reduce wages and increase the number of workers
hired. The resulting increase in n completely offsets the initial
decline in n.
[FIGURE 3 OMITTED]
Since n = f/[phi], this implies that both f and [phi] fall by the
same proportion. Also as w = [F.sub.n](n), changes in unemployment
benefits do not affect wages. In the model, the positive effect of a
higher unemployment benefit on wages is completely offset by the
negative effect of a decline in the job-finding rate (Figure 3).
PROPOSITION 3. A higher unemployment benefit, b, reduces the number
of employers, E, the transition rate of unemployed workers to
self-employment, [phi], and the job-finding rate, f. It increases
unemployment, U, and reduces wage employment, N, and total employment, E
+ N. However, it does not affect the average employer size, n, and wage,
w.
C. Wage Tax
The wage tax affects both the ES and the JC curves. As discussed
earlier, a higher wage tax shifts the ES curve up to the left in the (n,
f) space as it reduces the return from unemployment relative to
self-employment. On the other hand, a higher wage tax has an ambiguous
effect on the JC curve.
PROPOSITION 4. Assume that agents have the CRRA utility function,
u(c) = ([c.sup.1-[alpha]]/1 - [alpha]).
(i) Suppose [alpha] < 1. Then a higher wage tax, [[tau].sub.w],
reduces the average employer size, n, and increases wage, w.
(ii) Suppose [alpha] = 1. Then a higher wage tax, [[tau].sub.w],
increases the number of employers, E, the transition rate of unemployed
workers to self-employment, [phi], and the job-finding rate, f.
Furthermore, it reduces the average employer size, n, and unemployment,
U, and increases total employment, E + N, and wage, w.
(iii) Suppose [alpha] > 1. Then a higher wage tax,
[[tau].sub.w], increases the job-finding rate, f.
Proposition 4 shows that the effect of changes in the wage tax on
the self-employment rate and the transition rate of unemployed workers
to self-employment is ambiguous in general. An increase in [[tau].sub.w]
shifts the ES curve up to the left in the (n, f) space. In the case of
[alpha] < 1, an increase in [[tau].sub.w] shifts the JC curve down to
the left in the (n, f) space. Thus, n necessarily falls but f may rise
or fall.
When [alpha] = 1, an increase in [[tau].sub.w] does not affect the
JC curve and thus f rises and n falls. In the case of [alpha] > 1, an
increase in [[tau].sub.w] shifts the JC curve up to the fight in the (n,
f) space. Thus, f necessarily rises but n may rise or fall.
The ambiguous effect of changes in the wage tax on E and n in this
model is in contrast to a model based on a perfectly competitive labor
market. A model with a perfectly competitive labor market predicts that
a higher wage tax should unambiguously lead to an increase in E and a
reduction in n. This can be shown as follows. In the model with a
perfectly competitive labor market, since E + N = 1 and N = nE, the
equilibrium E and N are given by
(28) E = 1/(1 + n),
(29) N = n/(1 + n).
It is straightforward to show that [E.sub.n] < 0 and [N.sub.n]
> 0. Since a self-employed worker and an employee should be
indifferent between these two states in equilibrium, we have
(30) u([F.sub.n](n)(1 -[[tau].sub.w])) = u(F(n) - [F.sub.n](n)n) -
K(1 - [[tau].sub.s]).
Implicit differentiation of Equation (30) shows that [MATHEMATICAL
EXPRESSION NOT REPRODUCIBLE IN ASCII]. Thus, a higher wage tax leads to
a fall in n and an increase in E.
VI. CONCLUSION
In this article, I developed a theory of self-employment in the
efficiency wage framework. The major contribution of this article is to
incorporate transitions between self-employment and unemployment in a
model of occupational choice. The model is able to explain many
empirical regularities, particularly with regard to the effects of
unemployment benefits, which are not explained by the existing
theoretical models of self-employment. In this model, a higher
unemployment benefit reduces the self-employment rate and the rate of
transition from unemployment to self-employment, which are consistent
with empirical evidence (Carrasco 1999; Parker and Robson 2000). This
model also predicts that a higher unemployment benefit does not affect
wages. This prediction is consistent with a large body of empirical
literature which suggests that changes in unemployment benefits have a
negligible effect on post-unemployment wages (e.g., Addison and
Blackburn 2000; Blau and Robins 1986; Classen 1977; Meyer 1995).
In addition, in this model a higher start-up cost reduces the
self-employment rate and the rate of transition from unemployment to
self-employment. These results are consistent with substantial empirical
evidence which suggests that a higher start-up cost reduces new business
formation and entrepreneurial activities (e.g., Desai et al. 2003;
Djankov et al. 2009; Klapper et al. 2006; Nystrom 2008).
In this article, I used an efficiency wage model to generate
unemployment in part due to its analytical tractability. An alternative
way to generate unemployment is to use the search and matching model of
Mortensen and Pissarides (MP). The MP model is more complex due to
two-sided search and Nash bargaining. In analytical work, it is
generally assumed that there are firms with large numbers of jobs. Some
of these jobs are filled and some are vacant. This assumption of large
firms removes the uncertainties with regard to labor market flows at the
firm level. Equivalently, one can assume that there is a large number of
firms with one job each. More precisely, with these assumptions one does
not have to worry about the size distribution of firms. However, in the
occupational choice framework, one cannot assume that new firms are
large. Given the uncertainty about the hiring process, business failure,
and job-destruction, this will lead to a non-degenerate distribution of
firm size.
My conjecture is that the effects of changes in unemployment
benefits and start-up cost subsidy on self-employment would go through
in the MP framework. An increase in unemployment benefits is likely to
reduce self-employment for two reasons. First, it will raise the
reservation wage of unemployed wage workers, which will reduce the
profit of employers. Second, it will increase the attractiveness of
unemployment vis-a-vis self-employment. Similarly, a reduction in the
start-up cost subsidy would reduce self-employment by increasing the
attractiveness of unemployment vis-a-vis self-employment. However, due
to the non-degenerate distribution of firm size, showing the effects of
public policies analytically in the MP framework is a very difficult
problem. Thus, the analysis of the effects of public policies on
self-employment in the MP framework is left for future research.
APPENDIX
Derivation of Equations (18)-(21)
In the steady state, Equations (5), (6), and the condition that N =
n E imply that
(A1) [mu](1 + n)E = (f + [phi])U and
(A2) U = ([mu]/f)n E.
Equations (1), (A2), and N = nE imply that
(A3) E = f/([mu]n + (1 + n) f);
(A4) N = f n/([mu]n + (1 + n) f);
and
(A5) U = [mu]n/([mu]n + (1 + n) f).
(A1) and (A2) imply that
(A6) [phi] = f/n.
Derivation of the ES Curve (Equation (25))
Equations (9), (14), and (17) imply that
(A7) r[[lambda].sup.u] = u(b(1 - [[tau].sub.w])) + (f/[rho]).
Equations (12) and (15)-(17) imply that
(A8) r[pi](n) = u(F(n) - n[F.sub.n](n)) - [mu](1 - [[tau].sub.s])
K.
Then Equations (12), (17), (A7), and (A8) imply that
(A9) u(F(n) - n[F.sub.n](n)) = u(b(1 - [[tau].sub.w])) + (f/[rho])
+ ([mu] + r)(1 - [[tau].sub.s]) K
which traces the ES curve. Since d[F(n) - [F.sub.n](n)n]/dn > 0,
the ES curve traces an upward relationship between n and f in the (n, f)
space.
Proof of Lemma 1
Recall that F(0) = 0, [lim.sub.n [right arrow] 0] [F.sub.n](n) =
[infinity], [lim.sub.n [right arrow] 0] n [F.sub.n] (n) = 0, &
[u.sub.c](c) > 0. From Equations (25) and (26), we have
(A10) u(F(n) - n[F.sub.n](n)) = u([F.sub.n](n)(1 - [[tau].sub.w]))
- (r + [mu]/[rho]) - 1 + ([mu] + r)(1 - [[tau].sub.s]) K.
Equation (A10) is one equation with one unknown, n.
Given that d[F(n) - [F.sub.n](n)n]/dn > 0 and [u.sub.c](c) >
0, the LHS of Equation (A10) is increasing in n. On the other hand, the
RHS is decreasing in n. To show the existence of equilibrium, it is
sufficient to show that [lim.sub.n [right arrow] 0] RHS > [lim.sub.n
[right arrow] 0] LHS.
Given that [lim.sub.n [right arrow] 0] F(n) - n[F.sub.n](n) = 0,
and [lim.sub.n [right arrow] 0] [F.sub.n](n) = [infinity], under the
condition that u(infinity]) - A > u(0), where A = 1 + (r +
[mu]/[rho]) - ([mu] + r)(1 - [[tau].sub.s])K, we have [lim.sub.n [right
arrow] 0] RHS > [lim.sub.n [right arrow] 0] LHS]. Thus, there exists
a unique 0 < n < [infinity] which solves Equation (A10). Then one
can back out the associated f from Equation 26.
Proof of Propositions 1, 2, 3, and 4
Follows from the discussion in the text.
doi: 10.111 l/j.1465-7295.2011.00417.x
ABBREVIATIONS
ES: Employer-size
JC: Job-creation
MP: Mortensen and Pissarides
OECD: Organization for Economic Cooperation and Development
REFERENCES
Addison, J., and M. L. Blackburn. "The Effects of Unemployment
Insurance on Post-Unemployment Earnings." Labor Economics, 7, 2000,
21-53.
Alba-Ramirez, A. "Self-employment in the Midst of
Unemployment: The Case of Spain and the United States." Applied
Economics, 26, 1994, 189-204.
Blau, D. M. and P. K. Robins. "Job Search, Wage Offers, and
Unemployment Insurance." Journal of Public Economics, 29, 1986,
173-97.
Blanchflower, D. G. "Self-employment: More May Not Be
Better." Swedish Economic Policy Review, 11, 2004, 15-74.
Carrasco, R. "Transitions to and from Self-employment in
Spain: An Empirical Analysis." Oxford Bulletin of Economics and
Statistics, 61, 1999, 315-41.
Classen, K. "The Effect of Unemplolyment Insurance Benefits on
the Duration of Unemployment and Subsequent Earnings." Industrial
and Labor Relations Review, 30, 1977, 438-44.
Desai, M., P. Gompers, and J. Lerner. "Institutions, Capital
Constraints and Entrepreneurial Firm Dynamics: Evidence from
Europe." NBER Working Paper No. 10165, 2003.
Dickens, W., L. Katz, F. Lawrence, K. Lang, and L. Summers.
"Employee Crime and the Monitoring Puzzle." Journal of Labor
Economics, 7, 1989, 331-48.
Djankov, S., T. Ganser, C. McLiesh, R. Ramalho, and A. Shleifer.
"The Effects of Corporate Taxes on Investment and
Entrepreneurship." NBER Working Paper No. 13756, 2009.
Evans, D. S., and L. S. Leighton. "Some Empirical Aspects of
Entrepreneurship." American Economic Review, 79, 1989, 519-35.
Gollin, D. "Nobody's Business But My Own: Self-employment
and Small Enterprise in Economic Development." Journal of Monetary
Economics, 55, 2008, 219-33.
Kanbur, S. M. "Of Risk Taking and the Personal Distribution of
Income." Journal of Political Economy, 87, 1979, 769-97.
--. "Risk Taking and Taxation: An Alternative
Perspective." Journal of Public Economics, 15, 1981, 163-84.
Kihlstrom, R. E., and J. J. Laffont. "A General Equilibrium Entrepreneurial Theory of Firm Promotion Based on Risk-Aversion."
Journal of Political Economy, 87, 1979, 719-48.
Klapper, L., L. Laeven, and R. Rajah. "Entry Regulation as a
Barrier to Entrepreneurship." Journal of Financial Economics, 82,
2006, 591-629.
Kuhn, P. J., and H. J. Schuetze. "Self-employment Dynamics and
Self-employment Trends: A Study of Canadian Men and Women,
1982-1998." Canadian Journal of Economics, 34, 2001, 760-84.
Lucas, R. B. "On the Size Distribution of Business
Firms." Bell Journal of Economics, 9, 1978, 508-23.
Meyer, B. D. "Lessons from the U.S. Unemployment Insurance
Experiments." Journal of" Economic Literature, 33, 1995,
91-131.
Nystrom, K. "The Institutions of Economic Freedom and
Entrepreneurship: Evidence from Panel Data." Public Choice, 136,
2008, 269-82.
Parker, S.C., and M.T. Robson. "Explaining International
Variations in Self-employment: Evidence from a Panel of OECD
Countries." Working Paper, No. 2008, Department of Economics and
Finance, University of Durham, 2000.
Shapiro, C. and J. Stiglitz. "'Equilibrium Unemployment
as a Worker Discipline Device." American Economic Review, 74, 1984,
433-44.
Storey, D. J. "The Birth of New Firms--Does Unemployment
Matter?: A Review of the Evidence." Small Business Economics, 3,
1991, 167-78.
ALOK KUMAR *
* I thank the editor and two anonymous referees for their detailed
and very helpful comments. This research is supported by the Social
Sciences and Humanities Research Council of Canada.
Kumar: Department of Economics, University of Victoria, Victoria,
British Columbia, Canada V8W 2Y2. Phone 250-7218543, Fax 250-7216214,
E-mail kumara@ uvic.ca
(1.) For any function g(x), [g.sub.x] and [g.sub.xx] denote first
and second derivatives, respectively.
(2.) The results of this paper do not depend on whether the utility
function is quasi-linear in effort level or not.
(3.) The value function of an existing employer, [pi](n), can be
higher or lower than the value function of a wage-employed worker,
[[lambda].sup.n], depending on the start-up cost, K.