It is well-known that the nonsingularity of the Jacobian matrix is a n
ecessary and sufficient condition for the local uniqueness of the solu
tion of a system of equations. A necessary condition for this nonsingu
larity is the existence of a normalization of the equations. If the Ja
cobian matrix is large and sparse, as it is, for instance, for macroec
onometric models, the verification of this necessary condition is not
immediate. The paper shows how this problem can be efficiently investi
gated by means of a graph-theoretic approach. In particular, this is d
one by seeking a maximum cardinality matching in a bipartite graph. Th
e case where a normalization does not exist often constitutes a heavy
challenge to the model builder and is a situation which, again, is ana
lyzed using properties connecting covers to matchings in bipartite gra
phs. The whole approach is qualitative, and this not obvious condition
can be checked prior to the quantification of the model, i.e., at the
stage of the theoretical formulation of the model where numerical met
hod cannot yet been used.