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Journal ArticleDOI

Financial inclusion and stability in MENA: Evidence from poverty and inequality

TLDR
In this paper, the impact of financial inclusion on income inequality, poverty, and financial stability in eight MENA countries over the period 2002-2015 is investigated. And the empirical evidence indicates that while financial integration is a contributing factor to financial instability in MENA, financial inclusion contributes positively to financial stability.
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This article is published in Finance Research Letters.The article was published on 2017-09-01. It has received 223 citations till now. The article focuses on the topics: Financial inclusion & Financial integration.

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Does Financial Inclusion Diminish Poverty and Inequality? A Panel Data Analysis for Latin American Countries

TL;DR: In this article, the authors evaluated the impact of financial inclusion and technology adoption on the poverty headcount ratio and the Gini index in 13 Latin America countries (Argentina, Bolivia, Brazil, Colombia, Costa Rica, Dominican Republic, Ecuador, El Salvador, Honduras, Panama, Paraguay, Peru, and Uruguay).
Journal ArticleDOI

Financial stability of Asian Nations: Governance quality and financial inclusion

TL;DR: In this paper , the role of governance quality in maintaining financial stability and enhancing financial inclusion in Asian countries using the stakeholder theory was investigated, and the results indicated that governance quality negatively affects financial inclusion but has a positive influence on financial stability.
Journal ArticleDOI

Financial inclusion and macroeconomic stability in emerging and frontier markets

TL;DR: In this article, the authors considered financial inclusion as a key enabler to reducing poverty and boosting prosperity in emerging and frontier markets such as Vietnam, which is the process in which individuals and small businesses can access financial services.
Journal ArticleDOI

Financial inclusion and poverty: evidence from Turkish household survey data

TL;DR: In this article, the lack of relevant and complete micro-level data limits understanding which households are more exposed to poverty and the role of fina-ciality in alleviating poverty.
Posted Content

Financial Inclusion and Extreme Poverty in the MENA Region: A Gap Analysis Approach

TL;DR: In this article, the authors investigated the impact of financial access and usage on the eradication of extreme poverty in the Middle East and North African (MENA) region and showed that financial access measures have a positive, statistically significant impact on reducing extreme poverty for the full sample and the MENA region.
References
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Journal ArticleDOI

Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations.

TL;DR: In this article, the generalized method of moments (GMM) estimator optimally exploits all the linear moment restrictions that follow from the assumption of no serial correlation in the errors, in an equation which contains individual effects, lagged dependent variables and no strictly exogenous variables.
Report SeriesDOI

Initial conditions and moment restrictions in dynamic panel data models

TL;DR: In this paper, two alternative linear estimators that are designed to improve the properties of the standard first-differenced GMM estimator are presented. But both estimators require restrictions on the initial conditions process.
Journal ArticleDOI

Another look at the instrumental variable estimation of error-components models

TL;DR: In this paper, a framework for efficient IV estimators of random effects models with information in levels which can accommodate predetermined variables is presented. But the authors do not consider models with predetermined variables that have constant correlation with the effects.
Journal ArticleDOI

Biases in Dynamic Models with Fixed Effects

Stephen Nickell
- 01 Nov 1981 - 
Journal ArticleDOI

Estimating vector autoregressions with panel data

TL;DR: In this article, the authors consider estimation and testing of vector autoregressio n coefficients in panel data, and apply the techniques to analyze the dynamic relationships between wages an d hours worked in two samples of American males.
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