Rahul Lahoti is a Phd Candidate at University of Goettingen, Germany with the Chair of Prof. Stephan Klasen. His research interests are in poverty measurement, inequality, inclusive growth and gender. He possesses a Masters in Public Administration from Columbia University, a Masters in Computer Science from University of California, San Diego and Bachelors in Computer Science from BITS, Pilani, India. He is member of the Global Consumption and Income Project and was previously part of the Gender Asset Gap project.
By this expert
We have developed over a number of years and now make publicly available a new and unprecedented data resource for understanding levels of living, poverty, inequality and inclusivity of growth and development around the world.
The World Bank’s global poverty estimates suffer from deep-seated problems arising from a single source, the lack of a standard for identifying who is poor and who is not that is consistent and meaningful.
Economists’ assumptions, even about seemingly “small” matters, make an enormous difference to global poverty estimates but their impact often goes unnoticed, and the choices made have been badly justified. We must stop pretending that the World Bank’s “$1 per day” estimates are at all reliable.