_____________________________________________________________________________________
Abstract
We model the motives for residents of a country to hold foreign assets, including the precautionary
motive that has been omitted from much previous literature as intractable. Our model captures the
principal insights from the existing specialized literature on the precautionary motive with a novel
and convenient formula for the economy’s target asset ratio. The target is the value of assets that
balances growth, impatience, prudence, risk, intertemporal substitution, and the rate of return. We
use the model to shed light on two topical questions: “Upstream” flows of capital from developing to
advanced countries, and the long-run impact of resorbing global financial imbalances.
Buffer Stock Saving, Net Foreign Assets, Sovereign Wealth Funds, Foreign Exchange Reserves, Small Open Economy
1Carroll: Department of Economics, Johns Hopkins University, Baltimore, MD, http://www.econ2.jhu.edu/people/ccarroll/, ccarroll@jhu.edu, 2Jeanne: Department of Economics, Johns Hopkins University, Baltimore, MD http://www.econ2.jhu.edu/people/ojeanne/, ojeanne@jhu.edu
C61
| PDF: | http://www.econ2.jhu.edu/people/ccarroll/papers/cjSOE.pdf |
| Slides: | http://www.econ2.jhu.edu/people/ccarroll/papers/cjSOE-Slides.pdf |
| Web: | http://www.econ2.jhu.edu/people/ccarroll/papers/cjSOE/ |
| Archive: | http://www.econ2.jhu.edu/people/ccarroll/papers/cjSOE.zip |
| (Contains Mathematica and Matlab code solving the model) |
The remarkable recent accumulation of foreign reserves in emerging economies has captured attention from academics, policymakers, and financial markets, partly because reserve accumulation seems to have played a role in the development of global financial imbalances. A distinct (but probably related) puzzle is that national saving rates of fast-growing emerging economies have been rising over time,2 leading to surprising “upstream” flows of capital from developing to rich countries. The corresponding accumulation of foreign assets in “sovereign wealth funds” has begun to attract scrutiny as those funds have emerged as prominent actors in global capital markets.
A popular interpretation of all these trends is that they reflect precautionary saving against the risks associated with economic globalization.3
Such an interpretation raises several questions. What are the main determinants of the demand for external assets? What are the welfare benefits of international integration, if it leads developing countries to export rather than import capital? How persistent will the recent increase in developing countries’ demand for foreign assets prove to be? How does the precautionary motive for accumulating such assets interact with other, better-understood motives?
This paper introduces a tractable model that can be used to analyze these questions and others. The model is a small-open-macroeconomy version of the model of individual precautionary saving developed by Carroll (2009), based on Toche (2005) (see also Sargent and Ljunqvist (2000)). The model permits us to characterize the dynamics of foreign asset accumulation with phase diagrams that should be readily understandable to anyone familiar with the benchmark Ramsey model of economic growth, and to derive closed-form expressions that relate the target level of net foreign assets to fundamental determinants like the degree of risk, the time preference rate, and expected productivity growth. The model’s structure is simple enough to permit straightforward calculations of welfare-equivalent tradeoffs between growth, social insurance generosity, and risk.
We then present two applications of our framework. First, we look at what the model says about the puzzling relation between economic growth and international capital flows (especially the fact that fast-growing developing countries tend to export capital). We show that this puzzle can be explained in our framework if the bargain that countries make when they embark on a path of rapid development involves not only a pickup in productivity growth but also an increase in the degree of idiosyncratic risk borne by individuals (like unemployment spells that result in substantial lost wages). Second, we use a two-country version of the model to investigate the long-term impact on the United States and the rest of the world if the recent global financial imbalances were to be resorbed by a fall in non-U.S. savings (as some analysts have urged). Our model implies that a decrease in the desired level of wealth in the rest of the world has a substantial negative impact on the global capital stock as well as the U.S. (and global) real wage.
A central purpose of the paper is to distill the main insights of the complex literature that interprets capital flows through the lens of the precautionary motive.4 We aim to improve on an older literature on the ‘intertemporal approach to the current account’ that simply ignores precautionary behavior by considering a linear-quadratic formulation of the consumption-saving problem (see Obstfeld and Rogoff (1995) for a review). (An exception is Ghosh and Ostry (1997), who look at the implications of precautionary motives for the current account balance of advanced economies. They use a model with aggregate income shocks in which the domestic consumer has constant absolute risk aversion utility (an assumption that makes the model solvable in closed form but also implies rather special properties for the dynamics of foreign assets).)
More recently, one strand of the intertemporal literature looks at the effects of aggregate risk on domestic precautionary wealth. For example, Durdu, Mendoza, and Terrones (2007) present some estimates of the optimal level of precautionary wealth accumulated by a small open economy in response to business cycle volatility, financial globalization, and the risk of a sudden stop in credit. They conclude that these risks are plausible explanations of the observed surge in reserves in emerging market countries.5 Arbatli (2008) argues that precautionary motives associated with the possibility of sudden stops can explain the dynamics of the current account in emerging economy business cycles. Fogli and Perri (2006) instead take the perspective of the U.S. and argue that the decrease in its saving rate can be explained partly by the moderation in the volatility of its business cycle.
Closer to our paper are the contributions that examine the impact of idiosyncratic risk on saving behavior. Mendoza, Quadrini, and Rios-Rull (2007) model the determination of capital flows in a closed world in which economies differ by their level of financial development (market completeness). They find that international financial integration can lead to the accumulation of a large level of net and gross liabilities by the more financially advanced region. Sandri (2008) presents a model in which growth acceleration in a developing country causes a larger increase in saving than in investment because capital market imperfections induce entrepreneurs not only to self-finance investment but also to accumulate precautionary wealth outside their business enterprise. Another recent contribution is by Angeletos and Panousi (2011), who adapt a Merton (1969)-Samuelson (1969) model of portfolio choice to a general equilibrium context in which the risky asset, in each country, is interpreted as reflecting returns to entrepreneurial activity with an undiversifiable risky component. They calibrate the degree of financial development by the magnitude of the undiversifiable component of entrepreneurial risk (entrepreneurs in the less-financially-developed economy are assumed to unavoidably bear a greater risk for any entrepreneurial investment that they engage in). When a regime change suddenly allows international mobility of the riskless asset in their model, the result is an immediate large reallocation of risky capital from the less to the more developed economy.
Also related is recent work by Barro (2006), reviving the proposal of Rietz (1988) that the equity premium puzzle can be explained by a fear of rare but catastrophic events. Our model’s risk is to the consumer’s labor income rather than to an investor’s financial returns, but our framework shares the intuition that precautionary behavior against occasional disasters is powerfully influential even in periods when the disasters are not observed. We also share with this work a certain starkness of focus on a single large risk that is relatively easily understood and analyzed and that can have surprisingly powerful effects.
Several of our analytical results resonate with themes developed, or touched upon, in the papers cited above (in particular, the importance of domestic financial development or social insurance for international capital flows). The main comparative advantages of our analysis are three. First, the insights are reflected in tractable analytical formulas. The impact of key variables can be analyzed using a simple diagram or closed-form expressions—although (as usual) analysis of transitional dynamics requires numerical solution tools (which we provide).6 Second, our model of prudent (Kimball (1990)) intertemporal choice is integrated with a standard neoclassical treatment of production (Cobb Douglas with labor augmenting productivity growth), so that the familiar Ramsey-Cass-Koopmans framework can be viewed as the perfect-insurance special case of our model. This allows us analyze the link between economic development and capital flows in a way that is directly comparable to the corresponding analysis in the standard model.7 Finally, we do not believe that a model of China’s (or Japan’s, or Korea’s) high saving can be fully persuasive without explicitly tackling the relationship of increased saving to rapid economic growth. The financial flows from developing to developed countries in Mendoza, Quadrini, and Rios-Rull (2007) are not related to growth (which is identical in the respective economies), while in Sandri (2008) the increased saving is entirely in the entrepreneurial sector (as in Angeletos and Panousi (2011)), although empirical evidence suggests that much of the recent increase in saving in China has come from the household sector (Song and Yang (2010)), a finding that is consistent with the earlier experience in Japan and other countries.
We consider a small open economy whose population and productivity grow at
constant rates. A resident of this economy accumulates precautionary
wealth in order to insure against the risk of unemployment, which results
in complete and permanent destruction of the individual’s human
capital.8
9
The saving decisions of our individuals aggregate to produce “net foreign assets” for the economy
as a whole.10
Domestic output is produced according to the usual Cobb-Douglas function:
![]() | (1) |
where
is domestic capital and
is the supply of domestic labor.
The productivity of labor increases by a constant factor
in every
period,
![]() |
Capital and labor are supplied in perfectly competitive markets. Capital is perfectly mobile internationally, so that the marginal return to capital is the same as in the rest of the world,
![]() | (2) |
where the Hebrew letter daleth
is the proportion of capital that
remains undepreciated after production, and
is the worldwide constant
risk-free interest factor. Thus, the capital-to-output ratio is constant and equal
to
![]() | (3) |
Labor is supplied by domestic workers. Each worker is part of a ‘generation’
born at the same date, and every new generation is larger by the factor
than
the newborn generation in the previous period. If we normalize to 1 the size of
the generation born at
, the generation born at
will be of size
.
An individual’s life has three phases: Employment, followed by unemployment,
which terminates in death. Transitions to unemployment and to death follow
Poisson processes with constant arrival rates. The probability that an
employed worker will become unemployed is
(while the probability of
remaining employed is denoted as the cancellation of unemployment,
). The probability that an unemployed individual dies before
the next period is
; the probability of survival is cancellation of the
probability of death,
. (Individuals are permitted to die only
after they have become unemployed.) The employed population,
, and
the unemployed population,
thus satisfy the dynamic equations,

Total labor supply is the number of workers times the average labor supply per worker,
![]() | (4) |
(1) and (3) together imply that in the balanced growth equilibrium capital and
output grow by the same factor
in every period. Finally, the real wage is
equal to the marginal product of labor,
![]() |
which grows by the factor
in every period.
Perfect capital mobility means that residents and non-residents can hold
domestic capital, and can hold foreign assets or issue foreign liabilities. Our main
variable of interest is
, the aggregate net foreign assets of the economy at the
end of period
. As a matter of accounting, the country’s net foreign asset
position is equal to the difference between the value of its total wealth and the
value of domestic physical capital,
![]() | (5) |
where
is the present discounted value at the end of period
of next period’s total wealth (see Appendix A.2 for the basic national
accounting relationships in this economy). The dynamics of
are
determined by the consumption/saving choices of individuals, to which we now
turn.
Using lower-case variables for individuals, the period-
budget constraint relates
current consumption
to current labor income and current and future wealth
,11
![]() | (6) |
where
is a dummy variable indicating the consumer’s employment state.
Everyone in this economy is either employed (state ‘e’), in which case
, or
unemployed (state ‘u’), in which case
, so that for unemployed individuals
labor income is zero.
We assume that the labor productivity
of each individual worker who
remains employed grows by a factor
every period because of increasing
eXperience,
![]() | (7) |
where
is the labor supply of a newborn individual.
can be interpreted as
the factor that governs the rate at which an individual’s work skills improve,
perhaps as a result of human capital accumulation, whereas
is the factor by
which productivity grows in the economy as a whole, perhaps due to societal
knowledge accumulation and technological advance (Mankiw (1995)). This
means that for a consumer who remains employed, labor income will grow by
factor

Following Toche (2005), unemployment entails a complete and permanent
destruction of the individual’s human wealth: Once a person becomes
unemployed, that person can never become employed again. Thus,
unemployment could also be interpreted as retirement (we calibrate the model so
that the average length of the working life is forty years). Employed
consumers face a constant risk
of becoming unemployed regardless of their
age.
Consumers have a CRRA felicity function
and discount
future utility geometrically by
per period. We assume that unemployed
workers have access to life insurance р la Blanchard (1985) and can convert their
wealth into annuities. As shown in the appendix, the solution to the unemployed
consumer’s optimization problem is
![]() | (8) |
where the
superscript now signifies the consumer’s (un)employment status,
and
, the marginal propensity to consume for the perfect foresight
unemployed consumer, is given by
, which is necessary for the unemployed consumer’s problem to
have a well-defined solution.
Following ?, it will be useful to define a ‘growth patience factor’:
which is the factor by which
would grow in the perfect foresight version of
the model with labor income growth factor
. We will assume that the growth
patience factor
is less than one This condition—which ? dubs the ‘perfect foresight growth impatience
condition’ (PF-GIC)—ensures that a consumer facing no uncertainty is
sufficiently impatient that his wealth-to-permanent-income ratio will fall over
time.
The Euler equation for an employed worker is
![]() |
Now define nonbold variables as the boldface equivalent divided by the level of
permanent labor income for an employed consumer, e.g.
, and
rewrite the consumption Euler equation as
![]() | (12) |
while the budget constraint of an employed worker can be written, in normalized form, as
![]() | (13) |
Using this equation and
to substitute out
from (12)
(since a worker who becomes unemployed in period
starts with wealth
), we have
![]() | (14) |
Equations (13) and (14) characterize the dynamics for the pair of variables
. It is possible to show (see the appendix) that those dynamics are
saddle-point stable, and that the ratio of wealth to income,
, converges
toward a positive limit, the target wealth-to-income ratio, denoted by
.
Figure 1 presents the phase diagram.
We now determine the long-run target wealth-to-income ratio. Setting
and
in equation (12) gives
![]() | (15) |
and setting
and
in equation (13) gives,
![]() | (16) |
Eliminating
between (15) and (16) then gives an explicit formula for the
target wealth-to-income ratio,
![]() | (17) |
Here is the intuition behind the target wealth ratio: On the one hand, consumers are growth-impatient, which prevents their wealth-to-income ratio from heading off to infinity. On the other hand, consumers have a precautionary motive that intensifies more and more as the level of wealth gets lower and lower. At some point as wealth declines, the precautionary motive gets strong enough to counterbalance impatience. The point where impatience matches prudence defines the target wealth-to-income ratio.
Expression (17) encapsulates several of the key economic effects captured by the
model. The human wealth effect of growth is captured by the
and
terms.
Increasing
will decrease the growth patience factor
and therefore reduce
the target level of wealth. An increase in the worker’s patience (an increase in
and in the growth patience factor
) boosts the target level of wealth. Finally,
an increase in unemployment risk increases the target level of precautionary
wealth.12
Those comparative statics results can be summarized as
The response of the target asset ratio to the risk aversion parameter
is less
straightforward. On the one hand, higher risk aversion enhances the demand for
precautionary reserves. On the other hand, it also implies that consumption is
less elastic intertemporally. The response of
to
is also ambiguous, which is
unsurprising given that even in the deterministic model the relation between
interest rates and spending can be either positive or negative depending on the
relative sizes of the income, subsititution, and human wealth effects. In our
model it is possible to show that if
, then the target level the
wealth-to-income ratio increases with the interest rate. For the usual case where
, however, the sign of the response of
to
could be positive or
negative.
We now add up the individuals’ balance sheets to find the country’s aggregate net foreign assets. We first present a general formula that aggregates the resources of all generations of employed and unemployed workers. We then specialize this formula under two assumptions about the initial ‘stake’ of newborns in the economy. (A ‘stake’ is a transfer received by newborns). In the model without stakes, newborns do not receive any transfer and must accumulate wealth through their own frugality. Their microeconomic problem, therefore, is the one we have described in the previous section. In the model with stakes, newborns receive a transfer that puts their wealth-to-income ratio at par with the rest of the population. The main advantage of the model with stakes is that it is more tractable and yields a closed-form expression for the ratio of net foreign assets to GDP.
First, we focus on the wealth of the employed households. Calculations in the appendix show that the ratio of employed workers’ wealth to output is given by
where
is the wealth-to-income ratio at
of the workers born at
,
and
is the factor by which the share of a generation in total labor supply
shrinks every period. Equation (19), thus, says that the ratio of workers’
wealth to output is the average of the individual wealth-to-labor-income
ratios over the past generations, weighted by the share of each generation
in total labor supply and by the share of labor income in total output
.
Second, consider the wealth of the unemployed households (managed by the Blanchardian life insurance company). The aggregate wealth of unemployed households satisfies the dynamic equation,
![]() |
where the first term on the right-hand side reflects the accumulation of wealth by
the previously-unemployed households, and the second term is the wealth of
newly-unemployed households. The unemployed households consume a constant
fraction of their wealth,
, so that the equation above can be
rewritten,
![]() | (20) |
This equation fully characterizes the dynamics of the unemployed households’ wealth ratio for a given path for the employed workers’ wealth ratio.
Now we consider a steady state in which the wealth of the employed is a
constant fraction of GDP,
. Then equation (20) and
imply that the ratio of wealth to GDP is also constant for unemployed
households,13
![]() | (21) |
The ratio of net foreign assets to GDP is obtained by subtracting domestic
capital from domestic wealth. Using (3), (5), (21),
, and
, the ratio of net foreign assets to GDP is given by
![]() | (22) |
This expression gives the country’s ratio of net foreign assets to GDP in terms of
the exogenous parameters and one endogenous variable, the ratio of employed
workers’ wealth to GDP,
. We now present two ways of pinning down the
value of this endogenous variable.
The most natural assumption is that newborns enter the economy with zero wealth, and must save some of their income to ensure that they do not starve if they become unemployed. In this case, analysis must be performed using simulation methods, because households of different ages will have different ratios of wealth to income. (With a concave and nonanalytical consumption function, analytical aggregation cannot be performed.)
In this version of the model, each individual is faced with exactly the same
problem as in section 2.2. We denote by
the level of normalized wealth
held at the beginning of period
of the individual’s life in the problem of
section 2.2. We assume that the individual starts his life with zero wealth,
. In other words,
is the optimal time path of the
individual’s wealth. Then we can replace
by
in equation
(19),
. Note that this ratio is lower than
,
since it is a weighted average of
, which converge toward
from below.
We now consider a version of the model in which an exogenous redistribution program guarantees that the behavior of employed households can be understood by analyzing the actions of a “representative employed agent.” This will be achieved by the introduction of lump-sum transfers that ensure that the newborn individuals are endowed with the same wealth-to-income ratio that older generations already hold. This is explicitly not an inheritance, as we have assumed that individuals have no bequest motive and newborns are unrelated to anyone in the existing population. Our motivation is largely to make the model more tractable, rather than to represent an important feature of the real world; hence, we perform simulations designed to show that the characteristics of the model with no ‘stake’ are qualitatively and quantitatively similar to those of the more tractable model with a carefully chosen ‘stake.’
The details of the model with stakes are given in the appendix. The
transfer ensures that the workers have the same wealth-to-income ratio at
all times. Thus one can replace
by
in equation (19), which
gives,
![]() | (24) |
where
follows the same saddle-point dynamics as for a single agent (adjusted
for the transfer).
One can show (see the appendix) that in the long run,
converges to
![]() | (25) |
so that (25) implies a closed-form expression for the ratio of workers’ wealth to GDP,
This expression can be plugged into equation (22) to find the ratio of net foreign assets to GDP. It is interesting to compare formula (25) with the one that we obtained for an
individual in the model without stakes—equation (17). Since
we have
. Thus equations (17) and (25) both predict that the ratio of wealth to
GDP is lower than
, but in the new formula this comes from the
fact that the target wealth-to-income ratio is lowered by the tax, rather
than from the fact that the wealth-to-income ratio is lower for younger
workers.
We will show below that the model with stakes provides a good approximation to the model with no stake. But the model with stakes has several advantages. First, the transition dynamics can be characterized using equation (26). In the model without stakes the transition dynamics involve an infinite state space as the wealth-to-income ratio must be tracked separately for each generation. Second, the model with stakes gives a closed-form expression for the steady state ratio of foreign assets to GDP. This makes it possible to study analytically how the ratio of foreign assets to GDP depends on the exogenous parameters of the model. With formula (23), by contrast, such a study must rely on numerical simulations.
Our benchmark calibration is reported in Table 1. The value for the
unemployment probability,
, implies that a newborn worker expects to
be employed for 40 years. The value for the probability of death,
,
implies that the expected lifetime of a newly unemployed worker is 20
years.

The long-run levels of
and
are given by
and
. The
time paths for
and
are shown in Figure 2. The convergence to the
targets is relatively rapid. The individual saves more than one third of
his income on average in the first ten years of his life, after which his
wealth-to-income ratio already exceeds two thirds of the target level. The
wealth-to-income ratio reaches 99 percent of the target level after 40 years (the
average duration of employment).
For the benchmark calibration we find:
,
in the
model with no stakes, and
in the model with stakes. These levels
have the right order of magnitude (in view of the fact that most countries have a
ratio of foreign assets to GDP between minus and plus 100 percent of GDP,
based on the database of Lane and Milesi-Ferretti (2007)).
Figure 3 shows the sensitivity of
to changes in
,
,
and
.
The death probability
was adjusted so as to keep the total expected lifetime
of an individual equal to sixty years, i.e.,

First, we observe that the model with stakes gives results that are higher than the model without stakes, but generally provides a good approximation for the variation of the net foreign assets with respect to the main parameters.
The variation with respect to the growth rate and the unemployment
probability confirm theoretical properties derived earlier. The foreign assets ratio
decreases with
, as predicted by (18). The ratio of foreign assets to GDP
also increases with the unemployment probability. The ratio of foreign
assets to GDP is increasing with risk aversion
. Finally, the foreign
asset ratio is increasing with
, mainly because of the impact of higher
interest rates in reducing the ratio of physical capital to output. The
wealth-to-GDP ratio (not reported in Figure 3) is not very sensitive to
, which is consistent with the ambiguity of the model prediction if
.
The Ramsey model corresponds to the particular case where the economy is
populated by one representative infinitely-lived worker (
and
).
Thus, one might expect our model to yield the same results as the Ramsey
model in the limiting case as population growth and unemployment risk go to
zero (
and
).
In fact this is not the case. The predictions of our model for net foreign assets
and capital flows exhibit a discontinuity at
. To see this, note that taking
the limit of equation (17) gives
![]() |
so that the ratio of total domestic wealth to GDP goes to zero as the risk of unemployment becomes vanishingly small,14
![]() |
implying that the ratio of foreign assets to GDP is equal to minus the ratio of capital to output,
![]() | (27) |
The Ramsey model does not yield the same formula. If the unemployment
risk is strictly equal to zero (
), we must assume
for the intertemporal income of the worker to be well-defined and
finite.15
In this case income growth is the same at the individual level and at the
aggregate level. We can also assume, without loss of generality, that
, so
that
. Then it is possible to show that the asymptotic ratio of total net
foreign assets to GDP is given by,
![]() | (28) |
(see the appendix).
Comparing (27) with (28) shows that the ratio of foreign assets to GDP is
smaller in the Ramsey model. In fact, it is much smaller for plausible calibrations
of the model. The ratio of gross foreign liabilities to GDP implied by the Ramsey
model is close to 70 if
and
, and goes to infinity as
converges to
from below. The growth impatience condition, which
is necessary for the workers to have a finite target for their wealth to
income ratio when they are vulnerable to unemployment, makes the
infinitely-lived Ramsey consumer willing to borrow a lot against his future
income.
The intuition for the discontinuity is that a consumer with CRRA utility will
never allow wealth to fall to zero if there is a possibility of becoming permanently
unemployed, because unemployment with zero wealth yields an infinitely
negative level of utility (if
). This is the reflection, in the international
macroeconomic context, of a result long understood in the precautionary saving
literature: Perfect foresight solutions are not robust to the introduction of
uninsurable noncapital income shocks, even if those shocks occur with low
probability.16
The model assumes that the income of an unemployed worker falls to zero. This is a reasonable assumption for a country in which unemployed and retired workers receive no social transfer (i.e., in which there are no unemployment benefits and the retirement system is entirely based on capitalization). However, many countries have such transfers, and it is interesting to see their impact on foreign asset accumulation in our model. We consider now the consequences if the government creates a balanced-budget partial ‘unemployment insurance’ system.
Our definition of partial insurance starts by assuming that the ‘true’ labor
income process is the one specified above, but the government interferes with
this process by transferring to the workers who become unemployed in period
a multiple
of the labor income that they would have received if they
had remained employed. The social insurance of our model could be
interpreted as an unemployment benefit or as a pay-as-you-go retirement
benefit.
The wealth of a newly-unemployed worker now includes the payment from the insurance scheme, so that equation (8) becomes:
![]() |
We introduce social insurance in the model with stakes.17 As shown in the appendix, one can compute the target wealth-to-GDP ratio as
where
is the asset ratio without insurance, given by (25). The target
wealth-to-income ratio is (linearly) decreasing with
, as insurance provides a
substitute to precautionary wealth. The formula for
remains (22), with
the ratio of workers’ wealth to GDP given by,
![]() | (30) |
Figure 4 shows how the ratio of foreign assets to GDP,
, varies with
.
The ratio decreases from 0.72 when there is no insurance to negative values when
exceeds 1 year of the worker’s wage. The desired level of foreign assets is thus
quite sensitive to the level of social insurance.
Although the model is highly stylized, plausible calibrations can predict ratios of foreign assets to GDP that are close to the levels observed in the real world.18 This section illustrates how our framework can be applied by looking at two questions that have been discussed in recent policy debates and academic research: The relationship between economic development and capital flows, and the long-run consequences of resorbing global imbalances.
Many observers have noted the paradox that international flows of capital have recently been going “upstream” from developing countries (especially in Asia and most notably China) to the United States. The case of China, which has caused so much consternation recently, is merely the latest and largest example of a long-established pattern: Over long time periods and in large samples of developing countries, the countries that grow at a higher rate tend to export more capital (see the evidence cited in footnote 1), a fact that is difficult to reconcile with the standard neoclassical model of growth (Carroll and Weil (1994); Carroll, Overland, and Weil (2000); Gourinchas and Jeanne (2007); Prasad, Rajan, and Subramanian (2007); Sandri (2008)). Can our model shed light on this puzzle?
In this section we look at the correlation between economic growth and capital flows in a given country over time. We assume that the small open economy enjoys an economic “take-off,” defined as a permanent increase in the growth rate of productivity. However, the rate of growth is not the only thing that increases at the time of the transition: Idiosyncratic unemployment risk rises too. An increase in idiosyncratic risk has been observed in many transition countries as they adopt market systems, a development that has not been associated, in most countries, with a corresponding increase in social insurance. In particular, the rise in idiosyncratic risk has been fingered as a reason for the very high saving rate in China (see, e.g., ? and the references therein).
Informally, we believe that our story also may relate to the literature on rural-to-urban migration within developing countries. That literature has long struggled to answer a simple question: Urban wages are much higher than rural wages, so why doesn’t everyone move to the city? Maybe the answer is “cities are too risky.” If, in your home village, you are part of a well-developed and robust social insurance network (based on extended family, clan, or village ties), it might be perfectly rational to settle for a low but safe rural standard of living in preference to the more lucrative, but also riskier, life of a city dweller (under the presumption that moving to the city would sever some or all of your ties to the village network, and those ties could not quickly be replaced in a new locale). If people differ in their degree of risk tolerance, the least risk averse will migrate to the cities, leaving the most cautious behind; with a finite population, this could lead to equilibria with large and permanent wage gaps.19
Formally, we assume that the economy starts from a steady state with
constant levels for the productivity growth rate and the unemployment
probability,
and
. At time
, those variables unexpectedly jump to
higher levels,
and
. The subscripts
and
respectively
stand for “before” and “after” the transition. The death probability is
adjusted so as to keep the expected lifetime of an individual equal to 60
years.
Note that in order to benefit the domestic population, the transition must strictly increase the expected present value of an individual’s labor income, given by
![]() |
Thus one must have,
![]() | (31) |
The increase in the idiosyncratic risk, in other words, should not be so large relative to the increase in the growth rate as to decrease workers’ expected present value of labor income.
We consider the model with stakes, so that the transition dynamics for aggregate wealth can be derived from those for the representative agent. There is no social insurance. The appendix explains how the path of the main relevant variable can be computed. We are interested in whether capital tends to flow in or out of the country when the transition occurs.
For the sake of the simulation, we assume that the growth rate increases from
2 percent to 6 percent in the transition, whereas the unemployment probability
increases from 2 percent to 3 percent (
,
, and
,
). The other parameters remain calibrated as in Table
1.20
Note that condition (31) is satisfied: indeed, the economic transition multiplies
the expected present value of individual labor income by a factor 20. If the risk
of unemployment did not increase with the transition, the expected net present
value of labor income would become infinite.
Figure 5 shows the time paths for the growth rate, the ratio of net foreign assets to GDP and the ratio of capital outflows to GDP, with and without the increase in unemployment risk. Note that if unemployment risk increases, the growth rate takes time to converge to its new higher level because the rate of labor participation decreases over time, which dampens the acceleration of growth. The figure also shows that the increase in idiosyncratic risk has a large impact on the desired level of net foreign assets in the long run—and thus on the direction of capital flows during the transition. If the level of idiosyncratic risk remains the same, the pickup in growth lowers the long-run level of foreign assets from -23.9 percent to -135.6 percent of GDP, so that the higher growth rate is associated with a larger volume of capital inflows, both in the transition and in the long run. By contrast, if the level of idiosyncratic risk increases with growth, the long-run level of foreign assets increases to 69.7 percent of GDP, implying that higher growth is associated with capital outflows.21 Thus, small changes in the level of idiosyncratic risk have a first-order impact on the volume and direction of capital flows and may help explain the puzzling correlation between economic growth and capital flows that is found in the data.22
We now look at what the model says about the steady-state correlation between
growth and capital flows, rather than the correlation for a given country
over time. The country exports capital if its net foreign asset position
is positive (
), since the level of its net foreign assets increases
over time with output. The ratio of capital outflows to output is given
by,
![]() | (32) |
On the one hand, with faster growth the target value of
will be smaller.
On the other hand, a country that grows faster must export more capital to maintain
a constant ratio of foreign assets to GDP (so the term in parentheses in (32) becomes
larger).23
Even if both initial and final values of
are positive, the sign of the
relation between growth and net capital flows is theoretically ambiguous.
We calibrate the model with the pre-transition regime parameter values
(i.e. with
and
). Figure 6 shows how the right-hand side of
(32) varies with
under two different assumptions. The line “constant risk”
shows the ratio of capital outflows to GDP if the only variable that changes is
the growth rate. The line “increasing risk” is based on the assumption that the
idiosyncratic risk increases linearly by 0.25 percent for every additional percent
of growth. Points A, B, and C respectively correspond to the benchmark
calibration, the pre-transition regime and the post-transition regime of the
previous section.
Two findings stand out. First, if idiosyncratic risk does not increase with growth, the ratio of capital outflows to GDP is decreasing with growth. Second, if idiosyncratic risk increases with growth as we have specified, the ratio of capital outflows to output is positive, i.e., an increase in growth always causes the economy to export more capital (even if it grows at 10 percent per year). The relationship between the ratio of capital outflows to GDP and the growth rate is non-monotonic. Capital outflows increase (as a share of GDP) with the growth rate if the latter is lower than 6 percent. For higher levels of the growth rate the sign of the relationship is reversed.
The main counterpart for the accumulation of net foreign assets by developing countries has been the accumulation of net foreign liabilities by the United States. In a famous 2005 speech, Ben Bernanke hypothesized that the then-prevailing low level of world interest rates and high level of U.S. current account deficits could be due in part to this global “savings glut” (Bernanke (2005)). The U.S. authorities subsequently argued that an orderly resolution of global financial imbalances required the saving rate of Asian emerging market countries, most notably China, to decrease to more normal levels.24
The small economy assumption is not appropriate for studying such large events. We therefore present in this section a two-country general equilibrium version of the model that can be used instead. The model is solved only for the steady state equilibria, which means that we will be interested in the long-term consequences of particular policy experiments. We first look at a closed-economy version of the model.
We assume that the global economy has the same structure as the small open economy that we have considered so far. Global net foreign assets are equal to zero, which using (22) implies
![]() | (33) |
The left-hand side is the desired global stock of wealth whereas the right-hand side is the desired global stock of capital. The equality between the two endogenizes the steady-state interest rate. We assume that the desired stock of wealth comes from the model with stakes and social insurance, i.e., it is given by (30).
Figure 7 shows how the desired stocks of saving and of capital vary with the interest
rate for the benchmark calibration and three different levels of social insurance
and
.25
The desired level of capital is decreasing with the interest rate whereas the
desired level of wealth is increasing with the interest rate. Note that the desired
level of capital is much more sensitive to the interest rate than the desired level
of wealth. This implies that the decrease in desired wealth generated by higher
social insurance is reflected almost one for one in a lower level of capital – an
interesting point because it illustrates the importance of incorporating the
precautionary motive in the model.
This section uses a two-country version of our model to investigate the long-run
impact of a decrease in the desired stock of wealth outside of the United States.
We consider a two-country world, where each country has the same structure
as before. The two countries (denoted by
and
, respectively for
“home” and “foreign”) are identical, except for their populations and
levels of social insurance (
and
). The shares of countries
and
in world output are respectively denoted by
and
. The two
countries have the same growth rate, so that there is a well-defined balanced
growth path in which each country maintains a constant share of global
output.
The condition that global foreign assets must be equal to zero,
![]() |
endogenizes the global interest rate
. Normalizing by the countries’ GDP, this
equation can be rewritten,
![]() |
where for each country,
is given by (22), with
.
We consider the following experiment. Assume that the share of the home
country in total GDP is 20 percent (
and
), which is the
right order of magnitude for the United States. Assume that
, implying
that the home country has net liabilities because the desired ratio of wealth to
GDP is lower at home than in the rest of the world. We assume the values
and
, which implies
,
and
(the values of the other parameters remaining
as in Table 1). The ratio of U.S. liabilities to GDP is higher than the
current level (which is closer to 25 percent), but not implausible looking
forward if the U.S. were to continue to maintain large current account
deficits.
We then consider what would happen if global imbalances were resorbed as a
consequence of a reduction in the desired wealth-to-income ratio in the rest of
the world; this is achieved by increasing
to the home level (from 0.75 to 1.5).
Figure 8 shows the long-run response of the foreign assets and liabilities, as well
as the global real interest rate and real wage (normalized by productivity). As
expected, the net foreign assets of the home and foreign countries go to
zero as the two countries converge to the same ratio of wealth to GDP.
However, this convergence is achieved mainly by a decrease in global
capital, which is reflected in an increase in the real interest rate (from
4.2 to 5.6 percent), and a decrease in the normalized real wage (by 5.4
percent).
The decrease in the desired foreign level of wealth thus has a large negative impact on the real wage. The welfare effect is unambiguously negative for the home country. The long-run welfare impact is also negative in the foreign country, although not necessarily during the transition, as the generations that are alive at the time of the increase in social insurance benefit from consuming the accumulated net foreign assets. The home country enjoys an export boom during the transition, but this is associated with lower investment rather than higher output.
The intuition should be clear from the analysis of the closed economy in the previous section. The decrease in the desired level of foreign wealth raises the world interest rate, with little impact on the level of home wealth. Thus, it is reflected mainly in a decrease in the ratio of capital to output, which depresses the real wage.
This paper has presented a tractable model of the net foreign assets of a small open economy. The desired level of domestic wealth was endogenized as the optimal level of precautionary wealth against an idiosyncratic risk. We presented two applications of the model. The first concerned the relationship between economic development and capital flows. The second concerned the long-run global implications of reducing global imbalances by reducing the desired stock of saving outside of the United States.
Although very stylized, the model is able to predict plausible orders of magnitude for the ratio of net foreign assets to GDP. This being said, there are several dimensions in which the model could be made more realistic, probably at the expense of tractability. In particular, it would be interesting to know the exchange rate implications of a multi-goods extension of the model. (We anticipate that such an extension would show that a developing country that increases its desired level of foreign assets following economic liberalization will see a depreciation of its real exchange rate.) It would be also interesting to look at the impact of changes in the desired level of wealth on the price of assets other than currencies.
Our paper also has potential implications for future empirical work. To the best of our knowledge, the empirical literature has not looked at the impact of idiosyncratic risk and social insurance on net foreign assets in the context of a large sample of countries. The available evidence is anecdotal or focused on one country (e.g., ?), or it is about financial development rather than social insurance (Mendoza, Quadrini, and Rios-Rull (2007)). It would be interesting to see if the predictions of our framework for net foreign assets can be tested with the available data (although we have not been able to find a cross-country database on social insurance that could be used for such an empirical study).
We provide the following tables to aid the reader in keeping track of our notation.

Some combinations of the parameters above are used as convenient shorthand:



The aggregate budget constraint of residents can be written,
![]() |
Using (2) this equation can be rewritten as,
![]() |
where
is domestic investment, and
is given by (5). Using
the GDP identity (domestic output is either consumed, invested or exported),
and defining
as net exports, we have
![]() |
it follows that net exports are equal to
. By definition, the
current account balance is equal to net exports plus the income on net foreign
assets,
![]() |
from which we can derive the balance-of-payments equation,
![]() |
The current account balance is equal to the increase in the country’s
net foreign asset position, i.e., the volume of capital outflows in period
.
An insurance company a la Blanchard (1985) provides each newly unemployed
worker with an annuity, i.e., a consumption path that is conditional on the
individual staying alive. The annuity contract maximizes the welfare of the
individual conditional on the expected present value of his consumption being
equal to his wealth. For a worker becoming unemployed at
it solves the
problem,
![]() |
subject to

The Euler equation is,
![]() |
Using this expression to substitute out
from the expected present value
constraint then gives,
![]() |
We first characterize the iso-
and iso-
loci in the space
. Equation
(13) implies that the iso-
locus is a line defined by,
![]() |
Similarly, setting
in equation (14) gives the following equation for
the iso-
locus,
![]() |
The iso-
locus is an upward-sloping line which intersects the
-axis below
the iso-
line. The iso-
line and the iso-
lines intersect in the positive
quadrant (as indicated on Figure 1) if and only if
. This is true
because,
![]() |
where the last inequality follows from the growth impatience condition (11).
Using equation (13), it is straightforward to see that
increases (decreases)
if and only if
is below (above) the iso-
line. Equation (14) implies
that
is decreasing with
. Therefore,
decreases if and only if
is in the region to the right of the iso-
locus. This is also the region below the
locus, because this locus is upward-sloping. Thus, the phase diagram is as it is
shown on Figure 1, and the dynamics for the pair
are saddle-point
stable.
Here we derive equation (19). The aggregate wealth of employed workers is given by,
![]() |
where
is the number of employed workers born in period
, and
is the level of wealth held by the representative worker in
the generation born at
. Using
and
we
have
![]() |
with
. Using
the ratio of foreign assets to
output can be written
![]() | (34) |
Each individual has a labor endowment that increases at rate
until he
becomes unemployed. Thus, in period
the generation born at
supplies a quantity of labor equal to the number of workers from this
generation who are still employed at
, times the labor supply per worker,

![]() | (35) |
Using this expression to substitute out
from equation (34) then gives
equation (19).
We add to the model a transfer that ensures that the workers have the
same wealth-to-income ratio at all times. More precisely, the transfer
ensures that if all workers have the same ratio
in period
, then
this is also true in period
. So one simply needs to assume that
all workers had the same ratio
at some point in the past for this
to be true in all periods. This would be the case, for example, if the
country started with a first generation at some distant period in the
past.
The period-
budget constraint of an individual is
![]() |
where
is a lump-sum transfer. The transfer puts newborn individuals at the
same net wealth-to-income ratio as the rest of the population. For the
other workers the transfer is a lump-sum tax that is proportional to their
generation’s wealth. For an employed worker born at
the tax
is,
![]() |
whereas for a new-born worker the transfer is given by,
![]() |
In all periods of a worker’s life, thus, the normalized budget constraint is given by,
![]() | (36) |
which generalizes (13). Equation (15) remains valid,
![]() |
whereas (16) is replaced by
![]() |
Eliminating
between these two equations then gives the following expression
for the target wealth-to-income ratio,
![]() | (37) |
The equilibrium level of
results from the following equality,
![]() |
The left-hand side is the flow of payment that is required to endow each newborn
individual with the same ratio of after-tax net wealth to income as the rest of
the population. The right-hand side is the proceeds of the tax on the employed
workers. Using (35) to substitute out
, this equation simplifies to
, which implies
![]() | (38) |
Using this expression to substitute out
from (37) gives (25).
The Ramsey model corresponds to the particular case where there is one
representative infinitely-lived worker (
and
). In this case
income growth is the same at the individual level and at the aggregate
level. We can assume, without loss of generality, that
, so that
.
The individual’s problem at time
is to maximize,
![]() |
subject to the budget constraint,
![]() |
where
is the country’s output. For the worker’s discounted
intertemporal income to be finite we must assume
.
Iterating on the budget constraint and using
(from the Euler
equation) and
to substitute out consumption and output, we have

must be such that the terms in
cancel out in the expression above. Using this property to substitute out
, the expression for
simplifies to,
![]() |
The limiting wealth-to-output ratio is given by,

Here we derive equation (29). The worker’s normalized budget constraint is still
given by (36), taking into account that the wage is taxed at rate
to pay for
the unemployment benefits,
![]() | (39) |
Equation (12) still applies, with
. Setting
and
in equations (12) and (39) we obtain


between these equations gives,
![]() | (40) |
where
is given by equation (25). The tax rate
must satisfy,
![]() |
The left-hand-side is the flow of tax receipts at time
. The right-hand-side is
the amount needed to finance the transfer to the newly unemployed workers.
Using
and
one has,
![]() |
Using this expression and (38) to substitute out
from equation (40) gives
equation (29).
Normalizing
to 1, the equation for the dynamics of aggregate labor supply
is,
![]() |
implying that in steady state,
![]() |
Up until period
(inclusive), the economy is in a steady growth path with
and
, so that
![]() |
In period
it is announced that from period
onwards the productivity
growth rate and the flow probability of unemployment jump to higher levels,
and
. Starting from
, the dynamics of labor supply are given
by,
![]() |
from which it is possible to compute the whole path
, as well as the
gross rate of growth in labor supply,
. It follows from (1) and (2) that
output grows at the same rate as
. Hence the gross rate of output growth,
, is given by
![]() |
for
. Using this expression we can compute the whole path
.
We now come to the ratios of net foreign assets and capital outflows to GDP,
and
. Using the definition of
equation (5), we
have
![]() |
![]() |
where
is the ratio of aggregate wealth to aggregate labor income.
The path for
is the individual convergence path for the model with stakes,
where the initial condition
is given by (25) with
and
. This
gives us the whole path
. As for
, the initial condition can be derived
from equation (21),
![]() |
The path for
can then be derived from equation (20), which can be rewritten
in normalized form,
![]() |
Here we describe our algorithm for finding the consumption function.
We know two points on the “true” consumption function: For wealth of zero,
consumption must be zero; and for wealth equal to its target value, consumption
must match the target. We can thus construct a crude starting approximation to
the consumption function as
, the unique line that goes
through the points
and
(where the 0 presubscript indicates that
we have executed zero iterations of the ‘improvement’ algorithm described
below).
We will need to improve upon this approximation considerably in order to
obtain a satisfactory solution to the model. Our first step is to construct a set of
points at which to evaluate any approximating function, which we choose on the
interval
. Dividing that interval equally into
subintervals, we obtain a
set of states
for
.
Now rewrite the Euler equation (12) as
![]() |
and note that starting with iteration
we can generate a ‘next’ set of
consumption points from the current points using
![]() | (41) |
We solve by iterating on this equation. The iterative scheme stops when successive approximate consumption functions change little at the gridpoints.
Given the initial function for
,
, the algorithm can be
summarized as follows:
using (41)
by fitting the points
, stop; else increment
and go to step
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