This article uses nationally representative data from Malawi's 2004/05 Integrated Household Survey (IHS2) to examine whether rainfall conditions influence a rural worker's decision to make a long‐term move to an urban or another rural area. Results of a Full Information Maximum Likelihood regression model reveal that (1) rainfall shocks have a negative association with rural out‐migration, (2) migrants choose to move to communities where rainfall variability and drought probability are lower, and (3) rainfall shocks have larger negative effects on the consumption of recent migrants than on the consumption of long‐time residents.
Regional economic resilience can be defined as an economy’s ability to withstand and recover quickly from shocks. The ability to measure resilience is necessary to developing our understanding of what influences resilience. In this paper, we develop a new, two‐dimensional quantitative measure of resilience using observed differences between expected and actual employment in a region following a shock and distinguish the response to the shock from random variation. We demonstrate one application of this metric to US county‐level employment data to compare county responses to the 2007–2009 national recession and discuss how different regions of the United States responded to the shock of the Great Recession in terms of resilience.
Research on women in U.S. agriculture highlights how, despite real challenges, women have made and continue to make spaces for themselves in this male-dominated profession. We argue that, partly due to data accessibility limitations, this work has tended to use white women’s experiences in agriculture as universal. Analyzing micro-data from the 2017 Census of Agriculture, this paper offers descriptive statistics about women and race in U.S. agriculture. We examine numerous characteristics of U.S. farms, including their spatial distribution, the average number of acres farmed, predominant crop types, and other characteristics to describe how white, Black, Indigenous, and Pacific Islander/Asian women farmers are faring. Our findings suggest significant differences in women’s farms by race. We argue that these are related to the history of forced and voluntary migration within the U.S. Our results indicate that understanding women’s experiences in farming requires understanding the impact of race and these broader historical patterns. Finally, because of these differences across races, we suggest that supporting “women in agriculture” may require tailored responses from agricultural policy and programming that addresses unique needs in specific communities.
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