nep-mfd New Economics Papers
on Microfinance
Issue of 2022‒05‒16
two papers chosen by
Olivier Dagnelie
Université de Pau et des Pays de l’Adour

  1. Evaluating the Distributive Effects of a Development Intervention By Pushkar Maitra; Sandip Mitra; Dilip Mookherjee; Sujata Visaria
  2. Financial development, poverty, and human development in the Fintech age: a regional analysis of the Southeast Asian states By Dina Chhorn

  1. By: Pushkar Maitra (Department of Economics, Monash University); Sandip Mitra (Sampling and Official Statistics Unit, Indian Statistical Institute); Dilip Mookherjee (Department of Economics, Boston University); Sujata Visaria (Department of Economics, The Hong Kong University of Science and Technology)
    Abstract: Most analyses of randomized controlled trials of development interventions estimate an average treatment effect. However, the aggregate impact on welfare also depends on distributional effects. We propose a simple approach to evaluate efficiency-equity trade-offs, that follow the utilitarian tradition of Atkinson (1970). The method does not impose additional assumptions or data requirements beyond those needed to estimate the average treatment effect. We illustrate the approach using data from a credit delivery experiment we implemented in West Bengal, India.
    Keywords: Distributive Impacts, Program Evaluation, Agricultural Finance
    JEL: D82 O16 C93 H21
    Date: 2021–04
  2. By: Dina Chhorn (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)
    Abstract: This paper examines the effect of financial development in the Fintech age, measured by broad money, domestic credit, and mobile money, on poverty and human development in the Southeast Asian economies. Using unbalanced longitudinal dataset (1990-2017), the findings suggest that broad money and domestic credit contribute to poverty reduction and promote human development. The role of mobile money is seen to have a statistically positive impact only if we analyse it with human development. Additionally, when we take a closer look at the different stage of economic, political and institutional development in this region, we found that the positive effect of broad money and domestic credit is mostly found only in the less developed and less democratic countries. The mobile money, on the other hand, is found to statistically promote the human development in both groups of countries, but there is no statistical relationship for poverty analysis. To avoid the endogeneity bias driven by the fact that the variables in the analysis are not exogenous, the paper uses the instrumental variables and two-stage least squares for panel-data estimations, taking from the economic literature on the role of financial development in developing countries. In doing so, along with additional statistical tests of subsample analysis of political and institutional factors and higher- and lower-income countries, the results confirm the robustness in the analysis.
    Keywords: Financial development,Fintech,poverty,human development
    Date: 2021

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