The ongoing COVID-19 pandemic risks wiping out years of progress made in reducing global poverty. In this paper, we explore to what extent financial inclusion could help mitigate the increase in poverty using cross-country data across 78 lowand lower-middle-income countries. Unlike other recent cross-country studies, we show that financial inclusion is a key driver of poverty reduction in these countries.
On the 19th of October, we hosted the fifth meeting on the ‘Theory and Empirics of Inequality, Poverty and Mobility’, at the QMUL premises on Charterhouse Square, London. There was a large spread of theoretical and applied issues addressed in the six papers presented. In the morning three papers discussed issues related to the measurement of mobility and poverty, with applications to the EU, Mexico and with global poverty data, while in the afternoon three papers discussed the impact of mining on individual well-being in Sub-Saharan Africa, how social connections and financial incentives affect productivity in tasks that require coordination among workers via an experiment in a garment factory in India, and a final paper evaluating the effect of aid on conflict in Indonesia.
Next Wednesday 16th of May, Dr Elena Bárcena Martín will be presenting her research. Dr Elena Bárcena Martín works at the University of Malaga as an Associate Professor of Statistic and Econometrics. She has been research visitor at Columbia University and LSE where she studied the Master of Science in Econometrics and Mathematical Economics.
The aim of this paper is to analyse to what extent the previous status of children in poverty affects current child poverty, even when we control for observed and unobserved individual heterogeneity and treat the initial condition problem. On the basis of Wooldridge’s (2005) methodology, we estimate a dynamic random effects probit model considering three levels due to the hierarchical structure of our data: observations for each year (level 1) of the children (level 2) nested into countries (level 3). We corroborate the relevance of lagged status in poverty and assess the role of context variables in explaining differences across countries in child poverty dynamics. In particular, we highlight the significance of family benefits in reducing child poverty and assess which features of these benefits are more effective to reduce child poverty. This way, some key insights are provided to design more effective public policies to alleviate child poverty.