Measuring Financial Inclusion: A Multidimensional Index
By Noelia Cámara, David Tuesta. 2014
392 citations recorded by the source corpus.
Subfields: Accounting, Economics and Econometrics, Information Systems
View Paper: https://www.semanticscholar.org/paper/4fe1d28aa72e40a0c8adca47312db6f417d16dc8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
- V. Murinde
- Loan Thi-Hong Van
- Vanesa Pesqué-Cela
- Yener Altunbaş
- N. Nguyen
- M. Omar
- Anh The Vo
- Ayşegül Demir
In Economics and Econometrics
- V. Murinde
- Loan Thi-Hong Van
- Vanesa Pesqué-Cela
- Yener Altunbaş
- N. Nguyen
- M. Omar
- Anh The Vo
- Ayşegül Demir
In Information Systems
- V. Murinde
- Loan Thi-Hong Van
- Vanesa Pesqué-Cela
- Yener Altunbaş
- N. Nguyen
- M. Omar
- Anh The Vo
- Ayşegül Demir
Citations in the corpus
- A Study on the Effect of Financial Inclusion on the Relationship Between Income Inequality and Economic Growth (2016, neutral): “Cáamara and Tuesta (2014) use supply-and-demand information to measure the extent of financial inclusion at the country level for eighty-two developed and less developed countries.”
- Measuring financial inclusion: a composite FI index for the developing countries (2020, neutral): “However, FI is a multidimensional concept that cannot be accurately captured by individual indicators such as bank account ratios, number of automatic teller machines (ATMs) (Camara and Tuesta, 2014).”
- Fintech, financial inclusion and income inequality: a quantile regression approach (2020, background): “However, recent findings by Dabla-Norris et al. (2015c) indicate that the effects of skill-biased technological change vary across countries at different levels of economic development, and that an increase in the skill premium is strongly associatedwith widening disparities in advanced economies bu”
- Does financial inclusion reduce poverty and income inequality in developing countries? A panel data analysis (2020, positive): “…comparable data on payments, remittances, and transfers, the usage dimension only uses two indicators, the number of loan accounts with financial institutions per 1000 adults (Cámara and Tuesta 2014) and the number of borrowers from financial institutions per 1000 adults (Amidžić et al.”
- Financial Inclusion and Economic GROWTH: An International Evidence (2019, background): “Examples include the financial access index (Honohan 2008; Rojas-Suarez 2010), the multi-dimensional index (Camara and Tuesta 2014; Kim 2016; Park and Mercado 2015; Sarma 2008, 2012; Wang and Guan 2017) or the composite index (Amidzic, Masssara and Mialou 2014; Demirguc-Kunt and Klapper 2012).”