Josh Merfeld

My research and teaching interests include development, applied microeconometrics, agriculture, poverty, and the environment. I am particularly interested in using new data sources and new empirical methods to improve our understanding of a wide range of outcomes, especially the SDGs.

My current work focuses on three separate strands of literature: labor allocation, poverty, and methodologies to improve estimates of statistics of interest to economists and policymakers. Ongoing work studies how households allocate their labor in developing countries, especially across sectors. I work on the effects of pollution on agricultural productivity as well as how a changing environment affects labor allocation decisions. I also have ongoing work studying poverty and the best ways to improve poverty estimates, whether across time or across space. Relatedly, in work with regular collaborators, we are studying the best options to estimate different statistics – including poverty and labor force statistics – in developing countries, where data infrastructure may not allow the types of methods used in developed countries. For example, we are studying whether small area estimation methods or machine learning methods offer more accurate predictions of different outcomes and at different levels of aggregation. As part of my small area estimation and poverty work, I take part in capacity building with the United Nations Statistics Division and the World Bank to improve the understanding of small area estimation across the world. Current work revolves around disseminating working guidelines as well as in-person workshops for officials from national statistics offices.