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Technological innovation and employment in derived labour demand models: a hierarchical meta-regression analysis

Technological innovation and employment in derived labour demand models: a hierarchical meta-regression analysis

Ugur, Mehmet ORCID: 0000-0003-3891-3641, Churchill, Sefa Awaworyi and Solomon, Edna (2017) Technological innovation and employment in derived labour demand models: a hierarchical meta-regression analysis. Journal of Economic Surveys, 32 (1). pp. 50-82. ISSN 0950-0804 (Print), 1467-6419 (Online) (doi:https://doi.org/10.1111/joes.12187)

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Abstract

The effect of technological innovation on employment is of major concern for workers and their unions, policy-makers and academic researchers. We Meta-analyse 570 estimates from 35 primary studies that estimate a derived labour demand model. We contribute to existing attempts at evidence synthesis by addressing the risks of selection bias and that of data dependence in observational studies. Our findings indicate that: (i) hierarchical meta-regression models are sufficiently versatile for addressing both selection bias and data dependence in observational-data studies; (ii) innovation’s effect on employment is positive but small and highly heterogeneous; (iii) only a small part of residual heterogeneity is explained by moderating factors; (iv) selection bias tends to reflect preference for upholding prevalent hypotheses on the employment-effects of process and product innovations; (v) country-specific effect-size estimates are related to labour-market and product-market regulation in six OECD countries in a U-shaped fashion; and (vi) OLS estimates reflect upward bias whereas those based on time-differenced or within estimators reflect a downward bias. Our findings point out to a range of data quality and modeling issues that should be addressed in future research.

Item Type: Article
Uncontrolled Keywords: Innovation, employment, technological change, labour demand, meta-analysis
Subjects: H Social Sciences > HB Economic Theory
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Department of International Business & Economics
Faculty of Business > Institute of Political Economy, Governance, Finance and Accountability (IPEGFA) > Greenwich Political Economy Research Centre (GPERC)
Last Modified: 12 Jun 2019 01:10
Selected for GREAT 2016: None
Selected for GREAT 2017: GREAT c
Selected for GREAT 2018: None
Selected for GREAT 2019: GREAT 6
URI: http://gala.gre.ac.uk/id/eprint/16035

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