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Correction

Correction

This article refers to:
Exploring the gender gap in mobile money awareness and use: evidence from eight low and middle income countries

Article title: Exploring the Gender Gap in Mobile Money Awareness and Use: Evidence from Eight Low- and Middle-Income Countries

Authors: Reynolds, T., Biscaye, P., Anderson, C. L., O’Brien-Carelli, C., & Keel, J.

Journal: Information Technology for Development

DOI: http://dx.doi.org/10.1080/02681102.2022.2073579

The following changes have been made to the text in the article:

  1. On page 5, the last sentence has been deleted: ‘We thus focus not merely on simple numeracy, but more specifically on financial numeracy, defined as the numeracy skills required to carry out financial transactions with understanding, in real time, without help from a third person (Matthews, 2019).’

  2. On page 8, after ‘financial numeracy (measured as the ability to perform basic addition, subtraction, and percentage calculations relating to personal finance questions on the FII survey),’ a footnote has been added stating the following: ‘This is an imperfect measure of financial numeracy (as defined by Matthews (2019) for example), as it focuses exclusively on the ability to perform mental calculations using large numbers and does not capture whether the respondent can read or write numbers relevant to financial transactions. We nevertheless use the term ‘financial numeracy’ to reflect how the FII data attempt to measure numeracy in a financial context.’

  3. On page 22, the sentence ‘The FII surveys omit some potential variables of interest (such as caste in India, for example, or non-binary gender options), and there were also small samples of MM users in some countries at the time of data collection (especially Nigeria and Indonesia).’ has been modified to read ‘The FII surveys omit some potential variables of interest (such as caste in India, for example, or non-binary gender options) and imperfectly measure others (the financial numeracy variable in particular focuses exclusively on the ability to conduct mental calculations). There were also small samples of MM users in some countries at the time of data collection, especially Nigeria and Indonesia, due to low levels of adoption during this period.’

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