As the financial crisis has spread through the world, the lack of real-time data has made it difficult to track its impact in developing countries. We use a microsimulation approach to assess the poverty and distributional effects of the crisis. In Bangladesh, Mexico, and the Philippines, we...

This paper presents and analyzes a group of statistics which characterize the level and evolution of the labor income polarization in Greater Buenos Aires over the past two decades (1986-2006). The empirical evidence reveals two stages throughout those years: the first one distinguished by an...

As well acknowledged in the literature, housing is often the dominant consumption good for most households. As such, it should be included in a comprehensive welfare aggregate to measure people's living standards accurately. However, assigning a value to the flow of the dwelling for homeowners...

This paper quantifies the contributions of different factors to poverty reduction observed in Bangladesh, Peru and Thailand over the last decade. In contrast to methods that focus on aggregate summary statistics, the method adopted here generates entire counterfactual distributions to account...

As the financial crisis has spread through the world, the lack of real-time data has made it difficult to track its impact in developing countries. This paper uses a micro-simulation approach to assess the poverty and distributional effects of the crisis in the Philippines. The authors find...

Measuring the poverty and distributional impact of the global crisis for developing countries is not easy, given the multiple channels of impact and the limited availability of real-time data. Commonly-used approaches are of limited use in addressing questions like who are being affected by the...

Understanding the economic and social effects of the recent global trends of rising market concentration and market power has become a policy priority. To fill this knowledge gap, this paper introduces a simple simulation method, the Welfare and Competition tool (WELCOM), to estimate with...