On the Relationship between Domestic Saving and the Current Account: Evidence and Theory for Developing Countries

Published date01 August 2020
AuthorMARKUS BRUECKNER,WOJTEK PACZOS,EVI PAPPA
Date01 August 2020
DOIhttp://doi.org/10.1111/jmcb.12658
DOI: 10.1111/jmcb.12658
MARKUS BRUECKNER
WOJTEK PACZOS
EVI PAPPA
On the Relationship between Domestic Saving and
the Current Account: Evidence and Theory for
Developing Countries
We examine the relationship between domestic saving and the current ac-
count in developing countries. Our three main findings are that: (i) domestic
saving has a small effect on the current account; (ii) domestic saving has a
significant positive effect on the trade balance—this effect is much larger
than the effect that domestic saving has on the current account; and (iii) do-
mestic saving has a significant negative effect on net-current transfers. We
use countries in the SSA region during the period 1980-2009 as a laboratory
for an instrumental variables (IV) approach. The IV approach enables to
obtain estimates of causal effects. Underlying the IV approach is the signifi-
cant positive first-stage response of domestic saving to plausibly exogenous
annual rainfall: an unanticipated, transitory supply-side shock. Weconstruct
a small open-economy DSGE model with debt adjustment costs and endoge-
nous current transfers to match the empirical findings. The model enables to
examine the relationship between domestic saving and the current account
for different types of shocks. An important message of our paper is that, for
developing countries, estimates of the relationship between domestic saving
and domestic investmentare not informative for answering the question how
domestic saving affects a country’saccumulation of net foreign assets.
JEL codes:F30, F32, F35, F41, F44, F62
Keywords:domestic saving, current account, current transfers, small
open-economy model, financial frictions, Feldstein–Horioka puzzle.
THE RELATIONSHIP BETWEEN DOMESTIC SAVING and the current
account is an important topic in open-economy macroeconomics. At least since
We would like to thank twoanonymous referees and the editor for thoughtful comments that substan-
tially improved this paper.
MARKUS BRUECKNER is Professor in the Research School of Economics and CAMA, Australian Na-
tional University (E-mail: markus.brueckner@anu.edu.au).WOJTEK PACZOS is at Cardiff University
(E-mail: paczosw@cardiff.ac.uk).EVI PAPPAis at Universidad Carlos III de Madrid and CEPR (E-mail:
ppappa@eco.uc3m.es).
Received September 18, 2017; and accepted in revised form March 28, 2019.
Journal of Money, Credit and Banking, Vol.52, No. 5 (August 2020)
C
2019 The Ohio State University
1072 :MONEY,CREDIT AND BANKING
Feldstein and Horioka (1980), there has been a large amount of research done on
this topic. Already at the early stage of research, the question arose how to interpret
and compare the empirical findings to the predictions from theoretical models (see,
e.g., Obstfeld 1986). Results of least squares regressions that the empirical literature
documented are silent about what types of shocks are driving the variation in domestic
saving. For example: are these permanent or transitory shocks; demand- or supply-
side shocks; anticipated or unanticipated? This is a key issue when relating empirical
results to predictions from theoretical models. In all theoretical models, one has to
specify the type of shock that is causing the variation in domestic saving. Another,
separate issue is that estimation of a causal effect of domestic saving on the current
account is complicated by the endogeneity of domestic saving. Identifying exogenous
shocks to domestic saving in macro-economic data is difficult.
Our contribution to the literature is threefold. First, we provide least squares
estimates of the relationship between domestic saving and the current account for
a large panel of developing countries that covers approximately half of the world’s
population and spans about half a century.We report least squares estimates separately
for different regions in the world; regions are defined according to the World Bank
classification. The relationships established from the least squares regressions are
interesting, but interpreting them as causal or comparing them to a model is not
straightforward. To enable causal interpretation, we use an instrumental variables
(IV) approach. This is our second contribution to the literature. The instrument for
domestic saving is rainfall: an unanticipated, transitory supply-side shock. The IV
analysis is confined to sub-Saharan African (SSA) countries, for reasons described
below. For the SSA region, we can compare least squares to IV estimates. We can
compare least squares estimates for different regions, to see whether the least squares
estimates are different between the SSA region and other developing regions in
the world. Our third contribution to the literature is to build a DSGE model with
endogenous current transfers. The model delivers predictions of the relationship
between domestic saving and the current account. For a transitory productivity shock
like rainfall, we can compare the model’s predictions to the IV estimates. Beyond
comparison purposes, the theoretical model enables us to generate predictions of
the relationship between domestic saving and the current account for other types
of shocks, such as changes in interest rates on external debt or trend Total Factor
Productivity (TFP), for which, at the current date of writing, there is no clearly
exogenous, country-specific instrument available so that a causal relationship can
be estimated.
There are three main results from the least squares regressions: (i) in developing
countries the effect of domestic saving on the current account is small and, for some
regions, statistically indistinguishable from zero; (ii) there is a significant positive
and quantitatively sizable effect of domestic saving on the trade balance; and (iii)
a significant negative effect of domestic saving on net-current transfers. We show
that these results hold in developing countries across different regions in the world.
For developing countries, there is a substantial difference in the relationship between
domestic saving and the current account, and domestic saving and the trade balance.
MARKUS BRUECKNER, WOJTEK PACZOS,AND EVI PAPPA:1073
We document that this difference is specific to developing economies. For developed
economies, that is, High-Income Countries as defined by the World Bank, least
squares regressions show that there is no substantial difference in the relationship
between domestic saving and the current account, and domestic saving and the
trade balance.
In the IV regressions, we use year-to-year variations in rainfall to study how
a transitory, exogenous, and unanticipated supply-side shock to GDP affects the
relationship between domestic saving and the current account. We construct IV
estimates for a panel of 41 SSA countries during the period 1980-2009. The IV
approach is specific to the group of SSA countries. In SSA, the agricultural sector
is relatively large: the average agricultural GDP share is about one-third, and over
two-thirds of the population is employed in agriculture (World Bank 2017). It is
well documented that year-to-year variations in rainfall have a significant effect on
SSA countries’ year-to-year GDP growth (e.g., Miguel et al. 2004, Br¨
uckner and
Ciccone 2011). The novelty in this paper is to realize that because rainfall is a
transitory shock to GDP, the permanent income hypothesis predicts that domestic
saving should respond significantly to this shock as well. Indeed, our panel model
estimates show a highly significant positive effect of rainfall on domestic saving.
A 10% above country-mean increase in the level of rainfall increases the domestic
saving rate by around 1 percentage point.
The main finding from the IV analysis is that domestic saving has a quantitatively
small and statistically insignificant effect on the current account. Controlling for
country fixed effects, country-specific linear time trends, and year fixed effects the
coefficient on domestic saving in the current account equation is around 0.0 with
a standard error of around 0.2. In papers on the Feldstein–Horioka puzzle, see the
discussion below,the dependent variable is domestic investment. When the dependent
variable in the IV estimation is domestic investment, the estimated coefficient on
domestic saving is around 0.5; significantly different from zero and significantly
smaller than unity. That is: about half of domestic saving is channeled into domestic
capital accumulation. If one would have focused, exclusively, on the relationship
between domestic saving and domestic investment, as has been common practice in
previous papers on the Feldstein–Horioka puzzle, then one might have reached the
following conclusion: about half of domestic saving is used to increase net claims on
foreign assets. That would not havebeen the right conclusion for developing countries.
A direct approach to answering the question how domestic saving of developing
countries affects their net claims on foreign assets is to have in the econometric
model as dependent variable the current account (or the change in net foreign assets).
Estimation of that model shows that domestic saving has a small, near-zero, effect
on the current account. An important message is thus: for developing countries it is
in general not true that, in any given period, when domestic saving exceeds domestic
investment there will be an increase in net claims on foreign assets.
When we look at the components of the current account, we find that the effect
of domestic saving on net exports is significantly positive and quantitatively quite
large. The IV regressions yield a coefficient in the net export equation on domestic

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