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Decision-Making Power

Indicator Phrasing

% of the CBA recipients who were able to influence how the assistance will be used
See indicator in other languages

Indicator Phrasing

English: % of the CBA recipients who were able to influence how the assistance will be used

French: % de bénéficiaires d’assistance en espèces qui ont pu influencer la manière dont l’assistance a été utilisée

Spanish: % de los beneficiarios de CBA que han podido influir en el uso de la ayuda

Portuguese: % dos/as beneficiários/as da Assistência em Dinheiro que puderam influenciar como essa assistência será usada

Czech: % příjemců finanční pomoci, kteří byli schopni ovlivnit způsob jejího použití

What is its purpose?

The indicator measures the proportion of recipients of cash-based assistance (CBA) who were able to influence how the CBA will be used. It is relevant especially in situations when cash is given to people who might be subjected to unequal decision-making powers within their household (primarily women). It helps you assess whether the recipients were able to use the provided assistance as they needed.

How to Collect and Analyse the Required Data

Collect the following data by conducting individual post-distribution monitoring (PDM) interviews with a representative sample of the CBA recipients:

 

RECOMMENDED SURVEY QUESTIONS (Q) AND POSSIBLE ANSWERS (A)

Q1: Who decided what the [specify: cash / voucher] will be spent on?

A1: [one option only; do not read the answers  to the respondent prior to them answering]

1) respondent themselves

2) spouse

3) respondent and spouse jointly

4) respondent and another household member jointly

5) spouse and another household member jointly

6) another household member

7) someone outside the household

8) other: specify: ………………………….

 

 

To calculate the indicator’s value, divide the number of respondents who had their say in how the cash would be spent (i.e. answers 1, 3 or 4) by the total number of respondents. Multiply the result by 100 to convert it to a percentage.

Disaggregate by

Disaggregate the data by age groups, wealth and other factors depending on the local context.

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This guidance was prepared by People in Need ©

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