Disentangling aggregate and sectoral shocks using price microdata

Orientador(a): Carlos Viana de Carvalho

We estimate the volatility of aggregate and sectoral shocks, as well as their contributions to business cycles fluctuations, using price setting data. The key idea is that sector-specific innovations are associated with the dynamics of price setting statistics, such as average size of price adjustments, within a single economic sector, while the volatility of aggregate disturbances can be inferred from the correlation of these statistics across different sectors. Therefore, price setting data provides useful information about the nature of economic fluctuations. We employ a rich price setting model in which firms face not only menu costs, but also informational frictions and estimate it using Simulated Method of Moments and data from the UK. We find that sectoral shocks are considerably more volatile than their aggregate counterparts.