Work

More Data and Appropriate Statistical Methods Needed to Fully Measure the Displacement Effects of Development Assistance for Health

Year: 2013

Type: article

Abstract: Christopher Murray and colleagues provide a perspective on displacement due to development assistance for health, and argue for more data and better statistical methods to measure aid displacement.

Source: PLoS Medicine

DOI: 10.1371/journal.pmed.1001365

Authors: Christopher J. L. Murray, Joseph L. Dieleman, Chunling Lu, Michael Hanlon

Institutions: University of Washington, Institute for Health Metrics and Evaluation, Harvard University

Language: English

Topic: International Development and Aid

Subfield: Development

Field: Social Sciences

Domain: Social Sciences

SDGs: Good health and well-being, Reduced inequalities

Open Access status: gold

Estimated APC paid: $6,460

Funders: Bill and Melinda Gates Foundation, World Health Organization

OpenAlex ID: W2003459487

FWCI: 2.087

Cites: 8

Cited by: 3

Related to: 10