We investigate the nature and extent of reallocation occurring within the Indian income distribution, with a particular focus on the dynamics of the bottom of the distribution. We argue that income evolution is appropriately modeled using Geometric Brownian Motion (GBM). Specifically, we use the...

We explore economic competitiveness of Indian states based on the economic complexity algorithm, using a pair of coupled non-linear maps to characterize the Fitness of states and Complexity of products exported by them. We find that states produce almost all products within their productive...

We undertake an exploration of the economic income (Gross Domestic Product, GDP) of Indian districts and cities based on scaling analyses of the dependence of these quantities on associated population size. Scaling analysis provides a straightforward method for the identification of network...

We study the distribution of income across Indian states for 2014-19 and find significant heterogeneity in income inequality. Particularly concerning in terms of high inequality are states of Uttar Pradesh, Telangana, Chhattisgarh, Madhya Pradesh, Maharashtra, Gujarat, Punjab, and Haryana –...

We study the evolution of income in India from 2014-19 and find that the lower end of the income distribution has experienced significant losses – the bottom ventile shows not only a decline in income share of ~41%, but also negative real average income growth of -5.5% per annum. We further...

We model the dynamics of poverty using a stochastic model of Geometric Brownian Motion with reallocation (RGBM) and explore both transient and persistent poverty over 1952-2006. We find that annual transitions in and out of poverty are common and show a rising trend, with the rise largely being...