Farm Household Income Volatility: An Analysis Using Panel Data From a National Survey

N. Key, D. Prager, Christopher B. Burns
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引用次数: 31

Abstract

Farm income is highly variable, and this variability can affect household welfare, agricultural production, and environmental quality. Federal agricultural policies have long sought to shelter farmers from income fluctuations. The 2014 Farm Act focused attention on risk reduction by creating new programs tied to fluctuations in prices, yields, and revenues. ERS researchers use a large panel dataset created from 18 years of the USDA’s Agricultural Resource Management Survey (ARMS) to provide new information about the extent of farm household income variability. Analysis compares total income volatility of farm and nonfarm households; for farm households, it compares the volatility of farm and off-farm income and examines how income volatility differs across types of producers and farms of different sizes. A regression analysis explores the determinants of household income volatility and identifies trends in volatility over time. Researchers disaggregate total household income variability into farm, off-farm, and other components to trace how each component contributes to the overall volatility. Lastly, researchers look at the effects of U.S. Government programs on farm household income variability and estimate the risk-reducing benefits of these programs.
农户收入波动:使用全国调查面板数据的分析
农业收入是高度可变的,这种可变性会影响家庭福利、农业生产和环境质量。长期以来,联邦农业政策一直试图保护农民不受收入波动的影响。2014年《农业法案》通过制定与价格、产量和收入波动挂钩的新项目,将重点放在降低风险上。ERS的研究人员使用了美国农业部农业资源管理调查(ARMS) 18年来创建的大型面板数据集,以提供有关农户收入变化程度的新信息。分析比较了农业和非农业家庭的总收入波动;对于农户,它比较了农场和非农收入的波动性,并研究了不同类型的生产者和不同规模的农场的收入波动性是如何不同的。回归分析探讨了家庭收入波动的决定因素,并确定了波动随时间的趋势。研究人员将家庭收入变异性分解为农场、非农和其他组成部分,以追踪每个组成部分对整体波动性的影响。最后,研究人员研究了美国政府项目对农户收入变化的影响,并估计了这些项目降低风险的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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