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Measuring Total Factor Productivity, Technical Change And The Rate Of Returns To Research And Development

Sang Nguyen and Edward Kokkelenberg

Working Papers from U.S. Census Bureau, Center for Economic Studies

Abstract: Recent research indicates that estimates of the effect of research and development (R&D) on total factor productivity growth are sensitive to different measures of total factor productivity. In this paper, we use establishment level data for the flat glass industry extracted from the Census Bureau's Longitudinal Research Database (LRD) to construct three competing measures of total factor productivity. We then use these measures to estimate the conventional R&D intensity model. Our empirical results support previous finding that the estimated coefficients of the model are sensitive to the measurement of total factor productivity. Also, when using microdata and more detailed modeling, R&D is found to be a significant factor influencing productivity growth. Finally, for the flat glass industry, a specific technical change index capturing the learning-by-doing process appears to be superior to the conventional time trend index.

Keywords: CES; economic; research; micro; data; microdata; chief; economist (search for similar items in EconPapers)
Date: 1991-05
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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https://www2.census.gov/ces/wp/1991/CES-WP-91-03.pdf (application/pdf)

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Working Paper: Measuring Total Factor Productivity, Technical Change and the Rate of Returns to Research and Development (1990) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:cen:wpaper:91-3

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