Abstract In the United States, government surveys’ refusal rates have been increasing at an alarming rate, despite traditional measures for mitigating nonresponse. Given this phenomenon, now is a good time to revisit the work of Harris-Kojetin and Tucker (1999). In that study, the authors explored the relation between economic and political conditions on Current Population Survey (CPS) refusal rates over the period 1960–1988. They found evidence that economic and political factors are associated with survey refusals and acknowledged the need to extend this work as more data became available. In this study, our aim was to continue their analysis. First, we replicated their findings. Next, we ran the assumed underlying model on an extended time-period (1960–2015). Last, since we found that the model was not an ideal fit for the extended period, we revised it using available time series and incorporating information about the CPS sample design. In the extended, refined model, presidential approval, census year, number of jobs and not-in-labor-force rate were all significant predictors of survey refusal.

中文翻译：

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继续探索经济和政治因素与政府调查拒绝率之间的关系：1960–2015年

摘要在美国，尽管采取了缓解不答复的传统措施，但政府调查的拒绝率却以惊人的速度增长。鉴于这种现象，现在是重新审视Harris-Kojetin和Tucker（1999）的工作的好时机。在那项研究中，作者探讨了1960年至1988年期间经济和政治状况与当前人口调查（CPS）拒绝率的关系。他们发现证据表明，经济和政治因素与拒绝调查有关，并承认随着更多数据的获得，有必要扩展这项工作。在这项研究中，我们的目的是继续进行分析。首先，我们重复了他们的发现。接下来，我们在延长的时间段（1960–2015年）上运行了假定的基础模型。最后，由于我们发现该模型在长期内不理想，我们使用可用的时间序列并结合了有关CPS样本设计的信息对其进行了修订。在扩展，完善的模型中，总统批准，人口普查年度，工作数量和非劳动人口率都是拒绝调查的重要指标。