Abstract

The conceptualisation and measurement of benefit coverage is muddled with considerable confusion. In this forum contribution, we propose a new consolidated framework for the analysis of benefit coverage. Three sequential steps in measurement are suggested, involving the calculation of coverage rates, eligibility rates and take-up rates in social protection. Each step of the analysis focuses on particular aspects of programme legislation and implementation, and together the new framework will substantially improve the possibilities of research to inform policymaking. We provide an empirical illustration of our approach based on Swedish data, and highlight how our new consolidated framework for analysing benefit coverage provides a reorientation of the research agenda on benefit coverage.

Highlights

  • The difficulties involved in the conceptualisation and measurement of welfare states and social policy are well known (Clasen and Siegel, 2007; GreenPedersen, 2007; Gilbert, 2009; Goodin et al, 1999)

  • We have introduced a new consolidated framework for analysing benefit coverage

  • Coverage as potential recipients is complemented by analyses of eligibility and take-up

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Summary

Introduction

The difficulties involved in the conceptualisation and measurement of welfare states and social policy are well known (Clasen and Siegel, 2007; GreenPedersen, 2007; Gilbert, 2009; Goodin et al, 1999). This article introduces a new consolidated framework to analyse the intricate relationships between coverage, (non-)eligibility and (non-)take-up in cash benefit programmes. We highlight specific areas of programme coverage where new research is needed. Three aspects are typically in focus in international analyses and in policymaking: financing, income replacement and coverage. Financing is perhaps the most straightforward aspect of analyses of cash benefit programmes, as it involves the share of costs carried by employers, employees and the individuals themselves (Sjöberg, 1999). The validity of replacement rate indicators is continuously discussed in research (Danforth and Stephens, 2013; Ferrarini et al, 2013; Kunißen, 2019; Kvist et al, 2013; Scruggs, 2013; Wenzelburger et al, 2013)

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