Technology and Epidemics

Evidence from historical and epidemiological literatures show that epidemics tend to spread in the population according to a logistic pattern. We conjecture that the impact of new technologies on output follows a pattern of spread not unlike that of typical epidemics. After reaching a critical mass, rates of growth will accelerate until the marginal benefits of technology are fully utilized. We estimate spline functions using a GMM dynamic panel methodology for 79 countries. We use imports of machinery and equipment as a fraction of gross domestic product as a proxy for the process of technological adoption. Results confirm our hypothesis.
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Volume/Issue: Volume 1999 Issue 125
Publication date: September 1999
ISBN: 9781451854800
$20.00
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Business and Economics , Exports and Imports , WP , rate of growth , epidemic pattern , upper bound , growth , epidemics , logistic , technology transfer , machinery and equipment , GMM system estimator method , technology coefficient , high-rate-of contagion interval , Estimation techniques , Imports , Emerging technologies , Stocks , East Asia

Summary

Evidence from historical and epidemiological literatures show that epidemics tend to spread in the population according to a logistic pattern. We conjecture that the impact of new technologies on output follows a pattern of spread not unlike that of typical epidemics. After reaching a critical mass, rates of growth will accelerate until the marginal benefits of technology are fully utilized. We estimate spline functions using a GMM dynamic panel methodology for 79 countries. We use imports of machinery and equipment as a fraction of gross domestic product as a proxy for the process of technological adoption. Results confirm our hypothesis.