Data reconciliation and estimation in an agricultural survey

Q3 Decision Sciences
Habtamu K Benecha, Denise A. Abreu, Rachael Jennings, Linda J. Young
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引用次数: 0

Abstract

The Puerto Rico Census of Agriculture (Census) is the leading source of statistics about the island’s agricultural production. The Census is conducted every 5 years, in years ending in 2 and 7. However, the most recent Census was administered in 2018 due to delays caused by Hurricane Maria. Because the Census list frame is incomplete, a separate survey is conducted to inform measures of undercoverage, nonresponse, and misclassification, leading to adjusted weights. At the time of Hurricane Maria, the 2017 survey had already been conducted in preparation for the planned Census that year. In 2018, the survey was repeated using the same sample. Linking and analyzing the 2017 and 2018 survey data provide insights into the impacts of Hurricane Maria on the island’s agriculture. Furthermore, the 2018 survey gives an opportunity to evaluate the 2018 Census results. Although the same sample was used in 2017 and 2018, automated record linkage methods are not suitable to link records from the two surveys. This paper discusses record linkage and estimation approaches used to determine the number of farms and land in farms in Puerto Rico before and after Hurricane Maria based on the two surveys and the Census of Agriculture.
农业调查中的数据核对和估计
波多黎各农业普查(普查)是该岛农业生产统计数据的主要来源。人口普查每五年进行一次,在以2和7结尾的年份进行。然而,由于飓风玛丽亚造成的延误,最近一次人口普查是在2018年进行的。由于普查清单框架不完整,因此进行了单独的调查,以告知覆盖不足、无反应和错误分类的措施,从而调整权重。在玛丽亚飓风发生时,2017年的调查已经进行,为当年计划的人口普查做准备。2018年,使用相同的样本重复了这项调查。将2017年和2018年的调查数据联系起来并进行分析,可以深入了解飓风玛丽亚对该岛农业的影响。此外,2018年的调查提供了一个评估2018年人口普查结果的机会。虽然2017年和2018年使用了相同的样本,但自动记录链接方法不适合链接两次调查的记录。本文以两次调查和农业普查为基础,讨论了飓风玛丽亚前后波多黎各农场和农场土地数量的记录联系和估计方法。
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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来源期刊
Statistical Journal of the IAOS
Statistical Journal of the IAOS Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.30
自引率
0.00%
发文量
116
期刊介绍: This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.
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