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A Basic Income Trilemma: Affordability, Adequacy, and the Advantages of Radically Simplified Welfare

Published online by Cambridge University Press:  26 June 2019

LUKE MARTINELLI*
Affiliation:
Institute for Policy Research, University of Bath, Bath BA2 7AY, UK

Abstract

As basic income (BI) has ascended the policy agenda, so proposals have come under increasing scrutiny for their affordability and adequacy for meeting need. One common objection to BI has been that it is impossible to design a scheme that simultaneously conforms to these two criteria. In this article, I develop a conceptual framework for analysing the trade-offs that afflict BI policy design. I suggest that while the idea of a policy dilemma between affordability and adequacy does indeed afflict ‘full’ BI schemes, it is possible to design an affordable and adequate ‘partial’ BI scheme. However, this comes at the cost of (at least partly) forfeiting some key advantages that motivate interest in BI in the first place, since these only arise as a consequence of the elimination of means testing and related conditionality from the welfare system. Thus, BI proponents face a three-way trade-off in policy design between affordability, adequacy, and securing the full advantages of BI as a radical simplification of existing welfare policy. The trilemma is illustrated with reference to original microsimulation evidence for the UK, which demonstrates that at most two of the three criteria can be achieved in a single scheme.

Type
Article
Copyright
© Cambridge University Press 2019

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Footnotes

The results presented here are based on EUROMOD version H1.0+ (ISER, 2017). EUROMOD is maintained, developed and managed by the Institute for Social and Economic Research (ISER) at the University of Essex, in collaboration with national teams from the EU member states. We are indebted to the many people who have contributed to the development of EUROMOD. The process of extending and updating EUROMOD is financially supported by the European Union Programme for Employment and Social Innovation (2014-2020). The results and their interpretation are the author’s responsibility.

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