|
Figure 3 Relationship between initial exposure to routinisation and changes in the labour share (%)
Sources: Autor and Dorn (2013); European Union Labor Force Survey; Integrated Public Use Microdata Series International; Integrated Public Use Microdata Series USA; International Labour Organization; Authors’ calculations.
Estimating a long-difference regression that relates labour shares to long-term changes in technology (measured by the change in the relative price of investment goods), the country’s initial exposure to routinisation, changes in both its trade and financial integration, as well as reforms to policies and institutions, our results paint a picture that reveal important commonalities, but also some striking differences underlying the decline in labour share across countries.
In advanced economies as an aggregate, technology has been the largest contributor to the decline in labour shares, accounting for almost half of the overall decline. Importantly, for a given change in the relative price of investment, economies with high exposure to routinisation experienced about four times the decline in labour income shares than those with low exposure. Global integration – in particular, participation in global value chains and financial integration – is estimated to have contributed about half as much as technology. The results for advanced economies as a group are generally also true for individual economies. For example, jointly, technology and global integration can explain roughly three-quarters of the decline in labour shares in Germany and Italy and more than half the decline in the US. For emerging markets, technology has played a negligibly small role in the aggregate, due to both the milder decline in the price of investment goods in these economies and their significantly lower exposure to routinisation to begin with. Instead, the forces of global integration have had large effects, as participation in global value chains has lowered the labour share of income (partially offset by financial integration), consistent with our theoretical mechanism.
We complement the aggregate analysis with an examination of labour shares at the industry-country level using a newly assembled dataset on industry-level labour shares. The industry level analysis sheds light on the forces whose impacts may naturally be expected to differ across sectors, such as the plausibly large role of global trade integration in the tradable sectors.
Sectoral analysis confirms the large role of technology in advanced economies – declines in the relative price of investment have been associated with declines in labour shares, more so for sectors with higher initial exposures to routinisation. Estimating the model separately for the tradable and nontradable sectors reveals that rising participation in global value chains is associated with declines in labour shares only in the tradable sectors. This is in line with the predictions of the mechanism outlined earlier – as labour-intensive tasks are offshored, labour shares in tradable sectors are expected to decline as production becomes more capital-intensive.
The decline in labour shares has coincided with increases in inequality, not just due to the concentration of capital income at the top of the income distribution, but also due to diverse impacts across workers of different skill levels. We document that the labour income share of high-skilled workers has been rising while that of middle- and low-skilled workers has been declining, and that decline in labour shares driven by technology and global integration has been particularly sharp for middle-skilled labour. Moreover, countries with higher initial exposure to routinisation and a greater increase in participation in global value chains have experienced stronger declines in the middle-skilled labour income share. This is consistent with evidence for the US and European economies, where declining costs of automating routine tasks have caused a polarisation of employment and wages along the skill spectrum, as highlighted by Autor and Dorn (2013) and Goos et al. (2014).
References
Autor, D H, F Levy and R J Murnane (2003), “Computer-based technological change and skill demands: Reconciling the perspectives of economists and sociologists”, in Low-Wage America: How Employers Are Reshaping Opportunity in the Workplace. New York, NY: Russell Sage Foundation.
Autor, D H and D Dorn (2013), “The growth of low-skill service jobs and the polarization of the US labor market”, American Economic Review 103(5): 1553–97.
Autor, D H, D Dorn, L F Katz, C Patterson and J Van Reenen (2017), “Concentrating on the fall of the labor share”, NBER, Working paper 23108.
Blanchard, O (1997), “The medium run”, Brookings Papers on Economic Activity (2): 89–158.
Dao, M C, M Das, Z Koczan and W Lian (2017), “Why is labor receiving a smaller share of global income? Theory and empirical evidence”, IMF, Working paper WP/17/169.
Das, M and B Hilgenstock (2017), “Labor market consequences of routinization in developed and developing economies”, manuscript.
Elsby, M W, B Hobijn and A Şahin (2013), “The decline of the US labor share”, Brookings Papers on Economic Activity (2): 1–63.
Goos, M, A Manning and A Salomons (2014), “Explaining job polarization: Routine-biased technological change and offshoring”, American Economic Review 104(8): 2509–26.
Harrison, A (2002), “Has globalization eroded labor’s share? Some cross-country evidence”, University of California, Berkeley, and NBER.
Karabarbounis, L and B Neiman (2014), “The global decline of the labor share”, Quarterly Journal of Economics 129(1): 61–103.
Rognlie, M (2015), “Deciphering the fall and rise in the net capital share: Accumulation or scarcity?”, Brookings Papers on Economic Activity (1): 1–69.
|