A key requirement of repeated surveys conducted by national statistical institutes is the comparability of estimates over time, resulting in uninterrupted time series describing the evolution of finite population parameters. This is often an argument to keep survey processes unchanged as long as possible. It is nevertheless inevitable that a survey process will need to be redesigned from time to time, for example, to improve or update methods or implement more cost‐effective data collection procedures. It is important to quantify the systematic effects or discontinuities of a new survey process on the estimates of a repeated survey to avoid a disturbance in the comparability of estimates over time. This paper reviews different statistical methods that can be used to measure discontinuities and manage the risk due to a survey process redesign.

中文翻译：

---

测量通过重复抽样调查获得的时间序列中的不连续性

国家统计机构进行重复调查的一个关键要求是估算值随时间推移的可比性，从而可以不间断地描述有限人口参数演变的时间序列。通常这是保持调查过程尽可能长时间不变的一种论据。但是，不可避免地需要不时地重新设计调查流程，例如，以改进或更新方法或实施更具成本效益的数据收集程序。重要的是，量化新调查过程对重复调查的估计值的系统影响或不连续性，以避免随着时间的推移扰动估计值的可比性。本文回顾了可用于测量不连续性和管理由于重新设计调查过程而引起的风险的不同统计方法。