Skill-biased technical change and labor market inefficiency

Michele Battisti, Massimo Del Gatto and Christopher Parmeter

Journal of Economic Dynamics and Control, 2022, vol. 139, issue C

Abstract: The economic literature has so far produced limited (country-level) evidence on the magnitude of skill-biased technical change (SBTC), and has not yet investigated the extent to which, coupled with labor market imperfections, SBTC is associated with inefficient use of labor. We present a novel approach to estimate SBTC allowing for the presence of labor market inefficiency. Using data taken from the World Input-Output Database across 38 countries and 30 sectors, we provide the first country-sector evidence of SBTC during the 1995–2005 period and quantify the extent of economic inefficiency arising from labor market imperfections. On average, we find that the productivity of skilled workers grows by approximately 11.5% more than that of unskilled workers, mostly driven by SBTC (13.7%), rather than factor accumulation (−2.1%). Economic inefficiency decreases by 10.5% on average, and labor market rigidities are more binding in sectors that are more exposed to technological change. Substantial heterogeneity is also observed.

Keywords: Skill-biased technical change; Technological progress; Production function estimation; Wage premium (search for similar items in EconPapers)
JEL-codes: D24 E24 J24 O33 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:dyncon:v:139:y:2022:i:c:s0165188922001348

DOI: 10.1016/j.jedc.2022.104428

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