Agricultural technology adoption is often a sequential process. Farmers may adopt a new technology in part of their land first and then adjust in later years based on what they learn from the earlier partial adoption. This paper presents a dynamic adoption model with Bayesian learning, in which...

Using daily data from 182 spatially separated U.S. cash markets for the years 2006-2011, I investigate price discovery for corn. With a large number of cash markets available, I take into account explicitly the issue of market selection, which has been neglected in previous work. I find that...

This study investigates dynamic relationships among U.S. corn cash prices for the years 2006-2011. With daily data from 182 spatially separated markets spreading across 7 states, Iowa (IA), Illinois (IL), Indiana (IN), Ohio (OH), Minnesota (MN), Nebraska (NE), and Kansas (KS), we apply an error...

We report results of an analysis of the attribution of relative responsibility across the stages of the food chain for ensuring food safety. Specifically, we identify perceptions of the share of the overall responsibility that each stage in the food chain has to ensure that the meat people cook...

This paper is based on our ongoing joint work with Ravi Kanbur. Xi Chen is grateful to Ravi Kanbur for invaluable comments, guidance and encouragement. For comments and suggestions, please direct correspondence to Xi Chen at xc49@cornell.edu.

This paper is based on an ongoing joint work with David Sahn and Xiaobo Zhang.

We introduce a fast and inexpensive method to rule out potential barriers to adopting a technology. We use this method to asses the role of exogeneous contract enforcement as a barrier to market for Kenya's French Bean export market. We survey 240 farmers in Kirinyaga County, Kenya who were...

Paper for presentation at the Northeastern Agricultural & Resource Economics Association’s Workshop on Economics and Child Nutrition Programs, AAEA & NAREA Joint Annual Meeting, Pittsburgh, Pennsylvania, July 23, 2011.

Xi Chen acknowledges generous Doctoral Research Grant from the Institute for the Social Sciences at Cornell University and precious data set provided by the Development Strategy and Governance Division at IFPRI. Conference Travel Grant provided by the Department of Applied Economics and...

This paper examines the role of institutional environments on cotton farmer technical efficiency scores in Benin, Burkina Faso, and Mali using a stochastic frontier production approach. First, the key institutional changes that have occurred with the recent market-oriented reforms are discussed....