Technology Innovation and Diffusion as Sources of Output and Asset Price Fluctuations

Working Paper: NBER ID: w15029

Authors: Diego A. Comin; Mark Gertler; Ana Maria Santacreu

Abstract: We develop a model in which innovations in an economy's growth potential are an important driving force of the business cycle. The framework shares the emphasis of the recent "new shock" literature on revisions of beliefs about the future as a source of fluctuations, but differs by tieing these beliefs to fundamentals of the evolution of the technology frontier. An important feature of the model is that the process of moving to the frontier involves costly technology adoption. In this way, news of improved growth potential has a positive effect on current hours. As we show, the model also has reasonable implications for stock prices. We estimate our model for data post-1984 and show that the innovations shock accounts for nearly a third of the variation in output at business cycle frequencies. The estimated model also accounts reasonably well for the large gyration in stock prices over this period. Finally, the endogenous adoption mechanism plays a significant role in amplifying other shocks.

Keywords: No keywords provided

JEL Codes: E2; E3


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
innovation shocks (O39)output (C67)
news of improved growth potential (O49)current hours worked (J22)
endogenous adoption of new technologies (O33)amplifies other shocks (F41)
revisions in beliefs about future earnings from adopted technologies (O33)stock prices (G12)
endogenous technology adoption process (O33)earnings growth (O49)
endogenous technology adoption process (O33)volatility of price-earnings ratios (G17)

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