In this paper, we slightly modify the canonical RBC model by adding an
implementation lag in the technology, to reproduce the fact that cons
umption is a leading indicator of output. Indeed, we assume that agent
s have today some information on the realization of the technology sho
ck that will occur tomorrow. Today, inventions are known, and give inf
ormation on the innovations which will be implemented tomorrow. The mo
del is estimated and tested on US data by a simulated method of moment
s, using some suitable reconstructed data that are compatible with tha
t model. The results are in favor of this implementation lag hypothesi
s: the model is not rejected by US post-war data.