Year: 2002
Type: report
Abstract: In this paper, we re-examine the recent evidence that technology shocks do not produce business cycle patterns in the data.We first extend Galí's (1999) work, which uses long-run restrictions to identify technology shocks, by examining whether the identified shocks can be plausibly interpreted as technology shocks.We do this in three ways.First, we derive additional long-run restrictions and use them as tests of overidentification.Second, we compare the qualitative implications from the model with the impulse responses of variables such as wages and consumption.Third, we test whether some standard "exogenous" variables predict the shock variables.We find that oil shocks, military build-ups, and Romer dates do not predict the shock labeled "technology."We then show ways in which a standard DGE model can be modified to fit Galí's finding that a positive technology shock leads to lower labor input.Finally, we re-examine the properties of the other key shock to the system.
DOI: 10.3386/w8726
Authors: Neville Francis, Valerie Ramey
Language: English
Domain: Social Sciences
Open Access status: green
Funder: National Science Foundation
OpenAlex ID: W1484441916