Biased Technological Change and Employment Reallocation

Zsofia Barany (baranyzs@ceu.edu) and Christian Siegel

Studies in Economics from School of Economics, University of Kent

Abstract: To study the drivers of the employment reallocation across sectors and occupations between 1960 and 2010 in the US we propose a model where technology evolves at the sector-occupation cell level. This framework allows us to quantify the bias of technology across sectors and across occupations. We implement a novel method to extract changes in sector-occupation cell productivities from the data. Using a factor model we find that occupation and sector factors jointly explain 74-87 percent of cell productivity changes, with the occupation component being by far the most important. While in our general equilibrium model both factors imply similar reallocations of labor across sectors and occupations, quantitatively the bias in technological change across occupations is much more important than the bias across sectors.

Keywords: biased technological change; structural change; employment polarization (search for similar items in EconPapers)
JEL-codes: J24 O33 O41 (search for similar items in EconPapers)
Date: 2018-02
New Economics Papers: this item is included in nep-eff, nep-ino, nep-lma and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Related works:
Journal Article: Biased technological change and employment reallocation (2020)
Working Paper: Biased Technological Change and Employment Reallocation (2020)
Working Paper: Biased Technological Change and Employment Reallocation (2020)
Working Paper: Biased Technological Change and Employment Reallocation (2018)
Working Paper: Biased Technological Change and Employment Reallocation (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:ukc:ukcedp:1801

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