Dipak Subedi is an Agricultural Economist in the Resource and Rural Economy Division of the USDA Economic Research Service. He is a member of the Farm Income Team. The USDA Farm Income Team is responsible for estimating and forecasting farm income, expenses, and financial performance measures for the U.S. farm sector. He also responds to email inquiries from the public and updates the 10-year agricultural baseline model for the U.S. farm sector.
Prior to joining the Farm Income Team in January 2017, Dipak served as an economist in the Bureau of Labor Statistics (Department of Labor). At BLS he worked on the Quarterly Census of Employment and Wages program from 2011 to 2016. He oversaw the online data collection functions in the Data Collection Branch for the BLS Quarterly Census of Employment and Wages program, facilitated online data collection, designed survey forms, and assessed the quality of the data collected. His research background and expertise include rural economics, managing large datasets, and Federal/State survey management.
He received MS in Agricultural and Applied Economics from Texas Tech University and a BS in Agriculture from Himalayan College of Agricultural Sciences and Technology (with a focus on Sustainable Agriculture), Kathmandu, Nepal. He grew up on a family farm in Nepal, where most people rely on agriculture for their livelihood. He also led comparative studies of organic farming and subsistence farming in the eastern region of Nepal. For his Master’s thesis, he conducted research analyzing the GO TEXAN Rural Community Program—a Texas Department of Agriculture program to enhance the growth and prosperity of rural Texas towns, cities, and counties. Dipak's study helped Texas rural development decision makers evaluate the effects of alternative rural income and employment scenarios. His methods are transferable to similar predictive models of aggregate economic impact of rural events.
Subedi, D., and Murova, O. 2012. Predicting the Aggregate Economic Impact of Rural Community Events. The Journal of American Business Review 1(1):1-7.