Self-interest or self-defeating? How the self-employed voted in the EU referendum

Author:

Clark Ken123,Drinkwater Stephen4536ORCID

Affiliation:

1. Bank of England, UK

2. University of Manchester, UK

3. IZA, Bonn, Germany

4. University of Roehampton, UK

5. CReAM (UCL), UK

6. WISERD, UK

Abstract

Given the anticipated negative impact of Brexit on the U.K. economy, it might be expected that self-employed individuals would have favoured remaining in the European Union. However, the self-employed are also more likely to have certain demographic characteristics that are associated with voting leave in the 2016 referendum. We investigate such potentially offsetting influences using nationally representative survey data and find that self-employed men were more, and women less, likely to be leave voters compared to the paid-employed. The differences were statistically significant for men but a Gelbach decomposition reveals that they can largely be explained by characteristics, specifically age and education. Our findings, especially for self-employed men, are discussed within the context of the important economic consequences that Brexit continues to have on small businesses in the United Kingdom as well as the need for further evidence on the voting behaviour of the self-employed.

Funder

Economic and Social Research Council

Publisher

SAGE Publications

Subject

Business and International Management

Reference48 articles.

1. Who voted for Brexit? Individual and regional data combined

2. Do the self-employed still vote for centre-right parties? The cases of the UK, Italy and Spain

3. BCC (2022) The Trade and Customs Agreement: Two Years on. British Chambers of Commerce. Available at: https://www.britishchambers.org.uk/media/get/The%20Trade%20and%20Cooperation%20Agreement%20-%20Two%20Years%20On.pdf (accessed 11 July 2022).

4. Who voted for Brexit? A comprehensive district-level analysis

5. The effect of exchange rate fluctuations on the performance of small and medium sized enterprises: Implications for Brexit

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