Patuelli, Roberto ;
Linders, Gert-Jan ;
Metulini, Rodolfo ;
Griffith, Daniel A.
(2015)
The Space of Gravity: Spatial Filtering Estimation of a
Gravity Model for Bilateral Trade.
Bologna:
Dipartimento di Scienze economiche DSE,
p. 30.
DOI
10.6092/unibo/amsacta/4332.
In: Quaderni - Working Paper DSE
(1022).
ISSN 2282-6483.
Full text available as:
Abstract
Bilateral trade flows traditionally have been analysed by means of the spatial interaction gravity
model. Still, (auto)correlation of trade flows has only recently received attention in the
literature. This paper takes up this thread of emerging literature, and shows that spatial filtering
(SF) techniques can take into account the autocorrelation in trade flows. Furthermore, we show
that the use of origin and destination specific spatial filters goes a long way in correcting for
omitted variable bias in an otherwise standard empirical gravity equation. For a cross-section
of bilateral trade flows, we compare an SF approach to two benchmark specifications that are
consistent with theoretically derived gravity. The results are relevant for a number of reasons.
First, we correct for autocorrelation in the residuals. Second, we suggest that the empirical
gravity equation can still be considered in applied work, despite the theoretical arguments for
its misspecification due to omitted multilateral resistance terms. Third, if we include SF
variables, we can still resort to any desired estimator, such as OLS, Poisson or negative binomial
regression. Finally, interpreting endogeneity bias as autocorrelation in regressor variables and
residuals allows for a more general specification of the gravity equation than the relatively
restricted theoretical gravity equation. In particular, we can include additional country-specific
push and pull variables, besides GDP (e.g., land area, landlockedness, and per capita GDP). A
final analysis provides autocorrelation diagnostics according to different candidate indicators.
Abstract
Bilateral trade flows traditionally have been analysed by means of the spatial interaction gravity
model. Still, (auto)correlation of trade flows has only recently received attention in the
literature. This paper takes up this thread of emerging literature, and shows that spatial filtering
(SF) techniques can take into account the autocorrelation in trade flows. Furthermore, we show
that the use of origin and destination specific spatial filters goes a long way in correcting for
omitted variable bias in an otherwise standard empirical gravity equation. For a cross-section
of bilateral trade flows, we compare an SF approach to two benchmark specifications that are
consistent with theoretically derived gravity. The results are relevant for a number of reasons.
First, we correct for autocorrelation in the residuals. Second, we suggest that the empirical
gravity equation can still be considered in applied work, despite the theoretical arguments for
its misspecification due to omitted multilateral resistance terms. Third, if we include SF
variables, we can still resort to any desired estimator, such as OLS, Poisson or negative binomial
regression. Finally, interpreting endogeneity bias as autocorrelation in regressor variables and
residuals allows for a more general specification of the gravity equation than the relatively
restricted theoretical gravity equation. In particular, we can include additional country-specific
push and pull variables, besides GDP (e.g., land area, landlockedness, and per capita GDP). A
final analysis provides autocorrelation diagnostics according to different candidate indicators.
Document type
Monograph
(Working Paper)
Creators
Keywords
bilateral trade, unconstrained gravity model, spatial filtering
Subjects
ISSN
2282-6483
DOI
Deposit date
07 Aug 2015 08:50
Last modified
23 Oct 2015 09:05
URI
Other metadata
Document type
Monograph
(Working Paper)
Creators
Keywords
bilateral trade, unconstrained gravity model, spatial filtering
Subjects
ISSN
2282-6483
DOI
Deposit date
07 Aug 2015 08:50
Last modified
23 Oct 2015 09:05
URI
Downloads
Downloads
Staff only: