We investigate the use of a machine learning (ML) algorithm to identify fraudulent non-existent firms. Using a rich dataset of tax returns over several years in an Indian state, we train an ML-based model to predict fraudulent firms. We then use the model predictions to carry out field...

We elicit subjective probability distributions from business executives about their own-firm outcomes at a one-year look-ahead horizon. In terms of question design, our key innovation is to let survey respondents freely select support points and probabilities in five-point distributions over...

The main focus of this paper is on the process and progress of economic reform in Russia. But I start with four historical questions that bear on the current situation. How advanced was Russia in 1913? What relevance, if any, does the New Economic Policy of the 19205, or NEP, have for the...

Why are certain movies more successful in some markets than others? Are the entertainment products we consume reflective of our core values and beliefs? These questions drive our investigation into the relationship between a society's oral tradition and the financial success of films. We combine...

Are developing-world cities engines of opportunities for low-wage earners? In this study, we track a cohort of young low-income workers in Brazil for thirteen years to explore the contribution of factors such as industrial structure and skill segregation on upward income mobility. We find that...

In order to shed light on the biological and social drivers underlying the dramatic rise in cardiovascular disease risk in lower-income settings, links between these risks and body composition, behavioral and socioeconomic factors in Aceh, Indonesia, are contrasted with the United States. We...

This paper investigates the economic and social consequences of sovereign default on external debt. We focus on the crises' impact on real per capita GDP, infant mortality, life expectancy, poverty headcounts, and calorie supply per capita. After methodological exclusions, the sample covers 221...

Data on global trade as well as capital and labor flows indicate a slowdown, but not reversal, of globalization post the 2008-09 financial crisis. Yet profound changes in the policy environment and public sentiment in the largest economies over the past five years suggest the beginning of a new...

Measuring impacts of extreme events on population well-being is complicated if data are not representative of the pre-event at-risk population or a representative sample of the population is not followed post-event. The sources and nature of some important biases are documented using data from...

This paper is motivated by a set of cross-country observations on growth, structural transformation, and investment rates in a large sample of countries. We observe a hump-shaped relationship between a country's investment rate and its level of development, both within countries over time and...