Improvements in productivity are necessary to effectively increase economic growth in the long term. The literature emphasizes a positive correlation between firm-level innovation and productivity gains. It is unsurprising, then, that policy makers and researchers widely acknowledge that...

The paucity of reliable, timely household consumption data in many low- and middleincome countries has made it difficult to assess how global poverty has evolved during the COVID-19 pandemic. Standard poverty measurement requires collecting household consumption data, which is rarely done by...

In this paper we explore options for augmenting South Africa's personal income tax revenue using two microsimulation models: PITMOD simulates the personal income tax system and is underpinned by a dataset comprising a full extract of anonymized individual-level administrative tax data; and SAMOD...

Over the years, money-metric measures of inequality such as the Gini coefficient and the Palma Ratio, as frequently used in Ghana, have become useful in providing quantitative measures of welfare distribution that enable a better understanding of the extent and nature of inequality. From these...

This study evaluates which type of benefit-a universal benefit, a proxy mean-tested benefit, or a categorical benefit- better cushions the poverty effects of income shocks in a developing economy. We compare the effectiveness of the three benefit schemes on poverty first conceptually and then by...

Time-use statistics are sensitive to measurement error, especially errors that might be introduced based on whether the informant is reporting on herself or reporting on others in the household. In this paper, we use the nationally representative time-use survey in India and propensity score...

The poverty mapping methodology for estimating welfare rankings from small areas has proven to be useful in guiding allocation of government funds, regional planning, and general policy formulation. Nevertheless, poverty mapping also suffers from a series of by now well recognized shortcomings....

Over many past decades countries in sub-Saharan Africa have received extensive bilateral and multilateral aid in support of the production of relevant, timely, and good quality data and statistics. But assessing aid effectiveness in the statistical area is a complex matter. Many datasets are...

The extractives industries are highly controversial but remain vitally important in much of the developing world. This paper considers their role in reducing energy poverty and discusses scenarios for the future of the global markets for oil, gas, and metals (emphasizing the increasing...

This paper performs a multidimensional first order dominance (FOD) analysis of child wellbeing in the Democratic Republic of Congo (DRC). This methodology allows the ordinal ranking of the 11 provinces of the DRC in terms of their wellbeing based upon the probability of their domination. This...