基于投票记录数据的分票投票调查估计的地面真实性验证

A. Agadjanian, Jonathan Robinson
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引用次数: 1

摘要

从表明国有化和党派关系的趋势,到澄清对分裂政府的偏好,分裂票投票在政治学中受到了广泛的关注。重要的见解往往依赖于调查数据,正如他们在寻找有说服力的选民的实践者中所做的那样。然而,目前尚不清楚调查是否准确地捕捉到了这种行为。我们利用一种新的数据来源来验证基于调查的分裂票投票估计。南卡罗来纳州(2010-18年)和马里兰州(2016-18年)的投票记录为每次选举中的每位选民在所有种族的选票上提供了匿名的个人层面的选择,作为基本真相。我们收集了一系列公共和私人调查数据来进行比较并计算调查误差。尽管预期党派一致性压力会导致调查结果被低估,但我们发现,在我们的竞选中,调查结果通常接近真实的分裂票投票率。准确性各不相同,但值得注意的是,在给定的国家选举中(例如,总统对美国众议院)的分裂票投票比在州选举中更一致,因为前者通常在研究和实践中更有兴趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ground Truth Validation of Survey Estimates of Split-Ticket Voting with Cast Vote Records Data
From signaling trends in nationalization and partisanship to clarifying preferences for divided government, split-ticket voting has received copious attention in political science. Important insights often rely on survey data, as they do among practitioners searching for persuadable voters. Yet it is unknown whether surveys accurately capture this behavior. We take advantage of a novel source of data to validate survey-based estimates of split-ticket voting. Cast vote records in South Carolina (2010-18) and Maryland (2016-18) provide anonymized individual level choices in all races on the ballot for every voter in each election, serving as the ground truth. We collect an array of public and private survey data to execute the comparison and calculate survey error. Despite expectations about partisan consistency pressures leading to survey underestimates, we find that surveys generally come close to the true split-ticket voting rates in our set of races. Accuracy varies, but notably is more consistent for split-ticket voting in a given dyad of national races (e.g., President vs. U.S. House) than in one with state races, as the former is often of greater interest in research and practice.
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