Power calculation for causal inference in social science: sample size and minimum detectable effect determination

This manual, developed in-house by 3ie's Eric Djimeu and Deo-Gracias Houndolo, presents the basic statistical concepts used in power calculations for experimental design. The authors draw from real world examples to calculate statistical power for individual and cluster randomised controlled trials. The manual is accompanied by the Sample size and minimum detectable effect calculator©, a free online tool developed by the authors that allows users to work directly with each of the formulae presented in the manual.

Mapping the evidence on learning to earning interventions in low- and middle-income countries: A framework proposal and scoping review

Working paper 3ie 2025

The authors of this paper have proposed a framework that categorises existing technical and vocational education and training (TVET) and skills interventions and labour market outcomes in L&MICs.

Impact of a COVID-19 emergency liquidity support package on bank performance and lending: a controlled interrupted time series (CITS) analysis

Working paper 3ie 2025

The authors of this study evaluate the impact of the European Bank for Reconstruction and Development’s (EBRD) Solidarity Package, which was a COVID-19 emergency liquidity support package.

Key learnings from one-year pilot studies under Swashakt

Working paper 3ie 2024

The authors of this working paper synthesize learnings from the five pilot projects that were implemented in the states of Bihar, Gujarat, Jharkhand, and West Bengal.

The enablers and barriers to rural women’s participation in management training programs

Working paper 3ie 2024

The authors of this paper provide insights into some of the enablers and barriers to women’s participation in a micro-MBA program that seeks to cultivate competencies and encourage leadership capabilities among women weavers to initiate or manage their microenterprises.

Setting up women’s collective enterprises in rural India: Learnings from 3ie’s Swashakt program

Working paper 3ie 2024

The authors of this paper synthesise findings from four process evaluations of programs that support collective and group-based models for women-led businesses in India.

Power calculation for causal inference in social science: sample size and minimum detectable effect determination

3ie Working Paper 26

Mapping the evidence on learning to earning interventions in low- and middle-income countries: A framework proposal and scoping review

Impact of a COVID-19 emergency liquidity support package on bank performance and lending: a controlled interrupted time series (CITS) analysis

Key learnings from one-year pilot studies under Swashakt

The enablers and barriers to rural women’s participation in management training programs

Setting up women’s collective enterprises in rural India: Learnings from 3ie’s Swashakt program

Tools

Breadcrumb

Power calculation for causal inference in social science: sample size and minimum detectable effect determination

3ie Working Paper 26

Mapping the evidence on learning to earning interventions in low- and middle-income countries: A framework proposal and scoping review

Impact of a COVID-19 emergency liquidity support package on bank performance and lending: a controlled interrupted time series (CITS) analysis

Key learnings from one-year pilot studies under Swashakt

The enablers and barriers to rural women’s participation in management training programs

Setting up women’s collective enterprises in rural India: Learnings from 3ie’s Swashakt program

Tools