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Overview

Resource ID: INDIGO-ARES-0015

Link: https://www.worldbank.org/en/topic/poverty/brief/poverty-and-social-impact-analysis-psia

PSIA is a versatile analytical approach to assess the distributional and social impacts of policy reforms on different groups, with emphasis on the poor and vulnerable. It aims to inform the design of policies and programs in four main ways:
1. Providing evidence on the poverty, social, and distributional effects of reforms;
2. Proposing changes and course corrections to a policy or program, and identifying measures to mitigate any adverse impacts;
3. Identifying alternative options to enhance poverty reduction and positive outcomes;
4. Creating space for public dialogue around reforms through engaging stakeholders.

A PSIA enhances policy effectiveness, contributes to national dialogue, and increases accountability and transparency surrounding policies and programs. PSIAs can use both quantitative and qualitative methods, and can be undertaken before, during or after a policy reform. If done before or during the reform process, the analysis can inform the design and sequencing of alternative policy options, and suggest changes along the way. If undertaken after the reform, PSIA can help assess the actual impacts of the policy, which can suggest ways to mitigate any adverse effects and help inform decision makers about the likely impacts of future reforms.

More details

Impact goal: SDG oriented, Social impact, Development poverty reduction

Internal/external: External, Internal

Leader: World Bank

Method: Attribution, Ex ante projections, Diff in diff statistical analysis

Output format: Quant but no index

Scale: Macro

Sourcing: Self driven, Proprietary in house

Time frame: Ongoing, Prospective, Retrospective

Type: Case study

Used in sectors: Igos, Charity, Development

Who: Third sector

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INDIGO data are shared for research and policy analysis purposes. INDIGO data can be used to support a range of insights, for example, to understand the social outcomes that projects aim to improve, the network of organisations across projects, trends, scales, timelines and summary information. The collaborative system by which we collect, process, and share data is designed to advance data-sharing norms, harmonise data definitions and improve data use. These data are NOT shared for auditing, investment, or legal purposes. Please independently verify any data that you might use in decision making. We provide no guarantees or assurances as to the quality of these data. Data may be inaccurate, incomplete, inconsistent, and/or not current for various reasons: INDIGO is a collaborative and iterative initiative that mostly relies on projects all over the world volunteering to share their data. We have a system for processing information and try to attribute data to named sources, but we do not audit, cross-check, or verify all information provided to us. It takes time and resources to share data, which may not have been included in a project’s budget. Many of the projects are ongoing and timely updates may not be available. Different people may have different interpretations of data items and definitions. Even when data are high quality, interpretation or generalisation to different contexts may not be possible and/or requires additional information and/or expertise. Help us improve our data quality: email us at indigo@bsg.ox.ac.uk if you have data on new projects, changes or performance updates on current projects, clarifications or corrections on our data, and/or confidentiality or sensitivity notices. Please also give input via the INDIGO Data Definitions Improvement Tool and INDIGO Feedback Questionnaire.