Structural Change and Non-Constant Biased Technical Change
Edgar Cruz
No 2015/324, UB School of Economics Working Papers from University of Barcelona School of Economics
Abstract:
Empirical evidence suggests that the differences in rates of technical progress across sectors are time-variant, implying that the bias in technological change is not constant. In this paper, we analyze the implications of this non-constant sectoral biased technical change for structural change and we assess whether this is an important factor behind structural transformations. To this end, we develop a multi-sectoral growth model where TFP growth rates across sectors are non-constant. We calibrate our model to match the development of the U.S. economy during the twentieth century. Our findings show that, by assuming non-constant biased technical change, a purely technological approach is able to replicate the sectoral transformations in the U.S. economy not only after but also prior to the World War II.
Keywords: Multi-sector growth model; Structural change; Sector biased technical change; Baumol effect. (search for similar items in EconPapers)
JEL-codes: E29 O14 O41 O47 (search for similar items in EconPapers)
Pages: 38 pages
Date: 2015
New Economics Papers: this item is included in nep-eff, nep-gro and nep-mac
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Journal Article: Structural change and non-constant biased technical change (2017) 
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Persistent link: https://EconPapers.repec.org/RePEc:ewp:wpaper:324web
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