Technology diffusion and aggregate dynamics

dc.contributor.authorAndolfatto, David
dc.contributor.authorMacDonald, Glenn M.
dc.date.accessioned2026-07-23T13:20:46Z
dc.date.issued1998-01
dc.description.abstractThis paper develops and analyzes a macroeconomic model in which aggregate growth and fluctuations arise from the discovery and diffusion of new technologies; there are no exogenous aggregate shocks. The temporal behavior of aggregates is driven by individuals' efforts to innovate and/or make use of others' innovations. Parameters describing preferences, production possibilities and learning technologies are estimated using post-war U.S. data. The model delivers predicted aggregates that grow and fluctuate much like the data. The key features of post-war growth are explained by new technologies that differ in terms of the magnitude of their improvement over existing methods and the difficulty of acquiring them. The model implies a negative trend in technological dispersion, and that the generally lower growth witnessed during the last two decades is the result of new technologies offering comparatively minor or less broadly-applicable improvements. Data on the growing and fluctuating share of engineering Ph.D.s support the model's technological interpretation of the growth facts, and data on patent applications and adult schooling are consistent with the notion that newer technologies are more specific and proprietary.
dc.identifier.urihttps://hdl.handle.net/10012/23833
dc.language.isoen
dc.publisherUniversity of Waterloo
dc.relation.ispartofseriesWaterloo Economics Series; 98-005
dc.titleTechnology diffusion and aggregate dynamics
dc.typePreprint
uws.contributor.affiliation1Faculty of Arts
uws.contributor.affiliation2Economics
uws.peerReviewStatusUnreviewed
uws.scholarLevelFaculty
uws.typeOfResourceTexten

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