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Medical expenditure growth and the diffusion of medical technology

Authors: Justin Polchlopek;

Medical expenditure growth and the diffusion of medical technology

Abstract

The general consensus among health economists is that the increasing capability of medical providers-often called medical technology-is responsible for the majority of growth in medical expenditure. And yet, the principle means of understanding medical technology is through the use of total factor productivity, which, despite giving reasonable estimates of the magnitude of the effects, is not a theory of technology, leaving policymakers without effective tools for prediction. This paper develops a descriptive model of technology that may have interesting implications for health economics. The model suggests that the manner of diffusion of technology is critical, and when technology diffuses haphazardly, the effects on expenditure can be unexpectedly large.

Keywords

Sraffian Economics, O33, ddc:330, I11, Input-Output Economics, I12, Health Care Production, National Health Expenditures, Total Factor Productivity, B51, Health Economics, Technological Diffusion Processes, D24, D57, B51, C67, D24, D57, I11, I12, O33 [Health Economics, Health Care Production, National Health Expenditures, Sraffian Economics, Total Factor Productivity, Input-Output Economics, Technological Diffusion Processes JEL Codes], C67

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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