Evaluating USDA’s farm balance sheet forecasts

Author:

Díaz Cachay Pedro AntonioORCID,Kuethe Todd

Abstract

PurposeThe United States Department of Agriculture Farm Balance Sheet forecasts provide important, timely information on the financial assets and debt in the U.S. farm sector. Despite their prominent role in policy and decision making, the forecasts have not been rigorously evaluated. This research examines the degree to which the USDA’s Farm Balance Forecasts are optimal predictors of subsequent official estimates.Design/methodology/approachFollowing prior studies of USDA’s farm income forecasts, archived asset and debt forecasts from 1986 through 2021 are used in regression-based tests of bias and efficiency.FindingsForecasts from 1986–2021 are found to be unbiased but inefficient. The forecasts have a tendency to over-react to new information early in the revision process.Originality/valueThese findings can be helpful for forecast users in adjusting their expectations and for forecasters in adjusting the current forecasting methods.

Publisher

Emerald

Reference12 articles.

1. Rational expectations and fixed-event forecasts: an application to UK inflation;Empirical Economics,2005

2. Forecast evaluation and combination;Handbook of Statistics,1996

3. Information rigidities in USDA crop production forecasts;American Journal of Agricultural Economics,2023

4. On testing for unbiasedness and efficiency of forecasts;The Manchester School,1990

5. Joint evaluation of the system of USDA's farm income forecasts;Applied Economic Perspectives and Policy,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3