Zap It to Me: The Short-Term Impacts of a Mobile Cash Transfer Program
By Jenny C. Aker, Rachid Boumnijel, A. Mcclelland, Niall Tierney. 2011
129 citations recorded by the source corpus.
Subfields: Accounting, Gender Studies, Safety Research
View Paper: https://www.semanticscholar.org/paper/298871e33498bc333f23d4c09febff446a2f2552
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In Accounting
- Robert J. Cull
- Dean S. Karlan
- J. Qian
- Jonathan Zinman
- Franklin Allen
- Thorsten Beck
- V. Murinde
- Patricio Valenzuela
In Gender Studies
In Safety Research
- Robert J. Cull
- Jonathan Zinman
- V. Murinde
- Rebecca Furst-Nichols
- Vanesa Pesqué-Cela
- J. Shapiro
- M. Angelucci
- M. Buvinić
Citations in the corpus
- Banking in Africa (2013, unknown): “An experiment comparing traditional cash transfers with transfers via an m-system called Zap was undertaken in 96 ‘food-deficit’ villages in Niger, meaning they had produced less than half of their consumption needs during the 2009 harvest (Aker et al., 2011).”
- Mobile Money for Financial Inclusion (2012, background): “For example, during a recent drought in Niger, a set of randomly selected households received cash transfers via mobile money (Aker et al. 2011).”
- The African Financial Development and Financial Inclusion Gaps (2014, background): “Experimental evidence shows that the program substantially reduced the cost of distributing and obtaining the cash transfers (Aker et al., 2011).”
- Promoting Women's Economic Empowerment: What Works? (2014, background): “…by Sectoral Library Rm MC-C3-220 user on 06 October 2017 cash in the business rather than in the extended family, as Aker et al. (2011) found in a randomized evaluation of a cash transfer program delivered to poor women via mobile phones in Niger.”
- Mobile Money and Financial Inclusion in Sub-Saharan Africa: the Moderating Role of Social Networks (2018, background): “therefore, supporting hypothesis (H1) of the study which, states that mobile money usage is significantly and positively related to financial inclusion in rural Uganda. This finding is supported by scholars like Must and Ludewig (2010), Pope et al. (2011), Aker and Mbiti (2010) who observed that as ”
- Household Response to Income Changes: Evidence from an Unconditional Cash Transfer Program in Kenya ∗ (2013, methodology): “Several papers have found this to be the case in observational data (Thomas 1989; Hoddinott and Haddad 1995; Doss 1996; Lundberg, Pollak, and Wales 1997; Aker et al. 2011; Duflo 2003); in particular, female income is associated with larger expenditures on food and on children.”
- Win Some Lose Some? Evidence from a Randomized Microcredit Program Placement Experiment by Compartamos Banco (2013, methodology): “18 However, we also estimate a version of equation 2 in which we add all the subgroups - and their interaction with the treatment dummy - in the right hand side 19 An alternative approach is to calculate adjusted p-values following Aker et al (2011).”
- Fintech, financial inclusion and income inequality: a quantile regression approach (2020, background): “Aker and Mbiti 2010). This is supported by findings from Asongu and Le Roux (2017). Using a panel of 49 Sub-Saharan countries over the period 2000–2012, they find that mobile, internet and broadband penetration have a positive impact on inclusive growth, as measured by the inequality-adjusted human ”