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Decomposing Productivity Growth in the U.S. Computer Industry

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Author Info
Hyunbae Chun
M. Ishaq Nadiri

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Abstract

In this paper, we examine the sources of the productivity growth in the U.S. computer industry from 1978 to 1999. We estimate a joint production model of output quantity and quality that distinguishes two types of technological changes: process and product innovations. Based on the estimation results, we decompose total factor productivity (TFP) growth rate into the contributions of process and product innovations and scale economies. The results show that product innovation associated with better quality accounts for about 30 percent of the TFP growth in the computer industry. Furthermore, we find that the TFP acceleration in the computer industry in the late 1990s is mainly derived from a rapid increase in product innovation.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 9267.

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Date of creation: Oct 2002
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Handle: RePEc:nbr:nberwo:9267

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Find related papers by JEL classification:
D24 - Microeconomics - - Production and Organizations - - - Production; Capital and Total Factor Productivity; Capacity
O33 - Economic Development, Technological Change, and Growth - - Technological Change - - - Technological Change: Choices and Consequences; Diffusion Processes

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  3. Peter Thompson & Doug Waldo, 2000. "Process Versus Product Innovation: Do Consumption Data Contain Any Information?," Southern Economic Journal, Southern Economic Association, vol. 67(1), pages 155-170, July.
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    Other versions:
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  1. Mirko Draca & Raffaella Sadun & John Van Reenen, 2006. "Productivity and ICT: A Review of the Evidence," CEP Discussion Papers dp0749, Centre for Economic Performance, LSE. [Downloadable!]
  2. Hyunbae Chun & Jung-Wook Kim & Jason Lee & Randall Morck, 2004. "Patterns of Comovement: The Role of Information Technology in the U.S. Economy," NBER Working Papers 10937, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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