The thesis delves into questions of measurement of poverty and inequality and evaluates a hypothesis behind a policy that impacts democratic rights of millions of individuals in India. The first two papers are based on the Global Consumption and Income Project (GCIP). They describe the...

We investigate the impact of the COVID-19 pandemic on income levels, poverty, and inequality in both the immediate aftermath and during the uneven recovery until December 2021 using high-frequency household survey data from India. We find that the average household incomes dropped sharply during...

Current multidimensional measures of poverty continue to follow the traditional income poverty approach of using household rather than the individual as the unit of analysis. Household level measures are gender blind since they ignore intra-household differences in resource allocation which have...

Intra-household inequality continues to remain a neglected corner despite renewed focus on income and wealth inequality. Using the LIS micro data, we present evidence that this neglect is Equivalent to ignoring up to a third of total inequality. For a wide range of countries and over four...

Economic development and inequality is known to have an impact on health outcomes. We show this to be true in India where we study the effect of economic status on under and over nutrition. Inequality is measured using income or assets and we show that both matter for malnutrition. We find women...

Emerging evidence suggests that COVID-19 has amplified existing gender divisions that disadvantage women. What is the appropriate unit of analysis to study the gendered impact of a pandemic? The study of gendered inequality - especially labor market opportunities and outcomes - has for the large...

We introduce two separate datasets (The Global Consumption Dataset (GCD) and The Global Income Dataset (GID)) making possible an unprecedented portrait of consumption and income of persons over time, within and across countries, around the world. The current benchmark version of the dataset...