Cookies?
Library Header Image
LSE Research Online LSE Library Services

How effective and fair is user fee removal? Evidence from Zambia using a pooled synthetic control

Lépine, Aurélia, Lagarde, Mylène and Le Nestour, Alexis (2018) How effective and fair is user fee removal? Evidence from Zambia using a pooled synthetic control. Health Economics, 27 (3). 493 - 508. ISSN 1057-9230

[img]
Preview
Text - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview

Identification Number: 10.1002/hec.3589

Abstract

Despite its high political interest, the impact of removing user charges for health care in low-income settings remains a debatable issue. We try to clear up this contentious issue by estimating the short-term effects of a policy change that occurred in 2006 in Zambia, when 54 of 72 districts removed fees. We use a pooled synthetic control method in order to estimate the causal impact of the policy on health care use, the provider chosen, and out-of-pocket medical expenses. We find no evidence that user fee removal increased health care utilisation, even among the poorest group. However, we find that the policy is likely to have led to a substitution away from the private sector for those using care and that it virtually eliminated medical expenditures, thereby providing financial protection to service users. We estimate that the policy was equivalent to a transfer of US$3.2 per health visit for the 50% richest but of only US$1.1 for the 50% poorest.

Item Type: Article
Official URL: https://onlinelibrary.wiley.com/journal/10991050
Additional Information: © 2017 The Authors
Divisions: Health Policy
LSE Health
Subjects: R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Sets: Departments > Health Policy
Research centres and groups > LSE Health
Date Deposited: 24 Oct 2017 15:32
Last Modified: 20 Aug 2021 01:03
URI: http://eprints.lse.ac.uk/id/eprint/84950

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics