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Automation and income inequality in Europe

2026

Abstract: We study the effects of robot penetration on household income inequality in 14 European countries between 2006–2018, a period marked by the rapid adoption of industrial robots. Automation reduced relative hourly wages and employment of more exposed demographic groups, similarly to the results for the United States. Using robot-driven wage and employment shocks as input to the EUROMOD microsimulation model, we find that automation had minor effects on income inequality. Household labour income diversification and tax and welfare policies largely absorbed labour market shocks caused by automation. Transfers played a key role in cushioning the transmission of these shocks to household incomes.

Type: Journal article
Theme(s): Wages and employment     Income inequality: measures, trends and drivers
Keywords: automation, income inequality, microsimulation, robots, wage inequality
JEL Classification: J23, J24, O33
10.1177/00197939261498019

Reference

Doorley, K., Gromadzki, J., Lewandowski, P., Tuda, D. & Van Kerm, P. (2026), 'Automation and income inequality in Europe', Industrial and Labour Relations Review.

@ARTICLE{pvk-2002,
	Author = {Doorley, Karina and Gromadzki, Jan and Lewandowski, Piotr and Tuda, Dora and Van Kerm, Philippe},
	Title = {Automation and income inequality in {E}urope},
	Journal = {Industrial and Labour Relations Review},
	Year = {2026},
	Note = {Accepted}
}

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Doorley, K., Gromadzki, J., Lewandowski, P., Tuda, D. & Van Kerm, P. (2023), 'Automation and income inequality in Europe', IZA Discussion Paper 16499, IZA Institute for the Study of Labor, Bonn, Germany.    

Doorley, K., Gromadzki, J., Lewandowski, P., Tuda, D. & Van Kerm, P. (2023), 'Automation and income inequality in Europe', IBS Working Papers 06/2023, Instytut Badań Strukturalnych (Institute for Structural Research), Warsaw, Poland.    

Dataset(s) used in the paper

Other papers using the same datasets...

D'Aguanno, M.C., Guio, A.-C. & Van Kerm, P. (2026), 'Working, yet poor: The dynamics behind Europe’s in-work poverty rate', LISER Policy Brief 2026-21, Luxembourg Institute of Socio-Economic Research.    

Jacquemin, A., Heuchenne, C. & Van Kerm, P. (2026), 'Lorenz regression analysis of inequality of opportunity and explained inequality', ECINEQ Working Papers 699, Society for the Study of Economic Inequality, Italy.    

D'Aguanno, M.C., Guio, A.-C. & Van Kerm, P. (2026), 'Cross-country evidence on the individual dynamics of in-work poverty in the EU', Economic Systems, 50(2), 101360.    

Sohst, R.R., Fusco, A. & Van Kerm, P. (2024), 'Foreign-born households’ contribution to inequality and polarization in European income distributions', LISER Working Paper 2024-06, Luxembourg Institute of Socio-Economic Research, Esch/Alzette, Luxembourg.    

Sologon, D.M., Van Kerm, P., Li, J. & O'Donoghue, C. (2021), 'Accounting for differences in income inequality across countries: tax-benefit policy, labour market structure, returns and demographics', Journal of Economic Inequality, 19, 13-43.    

Fusco, A., Sohst, R.R. & Van Kerm, P. (2021), 'Foreign-born households in the income distribution and their contribution to social indicators in European countries', in A.-C. Guio, E. Marlier & B. Nolan, Improving the understanding of poverty and social exclusion in Europe, Publications Office of the European Union, Luxembourg, Ch.5, pp.87-102.    

Fusco, A., Gallo, G. & Van Kerm, P. (2021), 'Rotation Group Bias in the Estimation of EU Social Indicators', in A.-C. Guio, E. Marlier & B. Nolan, Improving the understanding of poverty and social exclusion in Europe, Publications Office of the European Union, Luxembourg, Ch.17, pp.295-312.    

Sologon, D.M., Almeida, V. & Van Kerm, P. (2019), 'Accounting for the distributional effects of the 2007-2008 crisis and the Economic Adjustment Program in Portugal', LISER Working Paper 2019-05, Luxembourg Institute of Socio-Economic Research, Esch/Alzette, Luxembourg.    

Jenkins, S.P. & Van Kerm, P. (2017), 'How does attrition affect estimates of persistent poverty rates? The case of EU-SILC', in A.B. Atkinson, A.-C. Guio & E. Marlier, Monitoring Social Inclusion in Europe, Eurostat, European Commission, Luxembourg, Ch.22, pp.402-417.    

Jenkins, S.P. & Van Kerm, P. (2014), 'The Relationship between EU Indicators of Persistent and Current Poverty', Social Indicators Research, 116(2), 611-638.    

Van Kerm, P. & Pi Alperin, M.N. (2013), 'Inequality, growth and mobility: The intertemporal distribution of income in European countries 2003--2007', Economic Modelling, 35(C), 931-939.    

Jenkins, S.P. & Van Kerm, P. (2011), 'Patterns of persistent poverty: evidence from EU-SILC', ISER Working Paper 2011-30, Institute for Social and Economic Research, University of Essex, Colchester, UK.    

Van Kerm, P. (2007), 'Extreme incomes and the estimation of poverty and inequality indicators from EU-SILC', IRISS Working Paper 2007-01, CEPS/INSTEAD, Differdange, Luxembourg.    

Van Kerm, P. (2007), 'Extreme incomes and the estimation of poverty and inequality indicators from EU-SILC', in Comparative EU Statistics on Income and Living Conditions: Issues and Challenges, Proceedings of the EU-SILC Conference, Helsinki, 6-8 November 2006, Eurostat, European Commission, Luxembourg, pp.83-94.    


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9 citations according to CitEc (RePEc)

38 downloads from RePEc services, according to LogEc

All versions of this work together, as of 17 October 2026. Each source covers different material, so the figures differ and are not added up.

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