This paper develops the structural Ricardian method, a new approach to modeling agricultural performance using cross-sectional evidence, and uses the method to study animal husbandry in Africa. The model is intended to estimate the structure beneath Ricardian results in order to understand how...

Previous Ricardian analyses of agriculture have either omitted irrigation or treated irrigation as though it is exogenous. In practice, it is a choice by farmers that is sensitive to climate. This paper develops a choice model of irrigation in the context of a Ricardian model of cropland. The...

This paper uses quantitative methods to examine the way African farmers have adapted livestock management to the range of climates found across the African continent. The authors use logit analysis to estimate whether farmers adopt livestock. They then use three econometric models to examine...

This paper examines African livestock management across Agro-Ecological Zones (AEZs) to learn how they would adapt to climate change in the coming century. We analyze farm level decisions to own livestock and to choose a primary livestock species using logit models with and without country fixed...

This study examines the impact of climate change on cropland in Africa, using a Ricardian cross-sectional approach. Relying on farm data from an 11-country survey of over 9500 farmers, annual net revenue is regressed on climate and other variables. The study confirms that current climate affects...

This paper examines the impact of climate change on primary crops grown in Africa. An innovative approach is presented that bridges the gap between agro-economic and traditional Ricardian models. We label it a ‘structural Ricardian model’. It first captures the type of crop a farmer...

This paper uses a cross-sectional approach to analyze the impacts of climate change on animal husbandry and the way farmers adapt. The study is based on surveys of almost 5000 livestock farmers across ten countries in Africa. A traditional Ricardian regression finds that the livestock net...