The number of data sources available for academic research on retirement economics and policy has increased rapidly in the past two decades. Data quality and comparability across studies have also improved considerably, with survey questionnaires progressively converging towards common ways of eliciting the same measurable concepts. Probability-based Internet panels have become a more accepted and recognized tool to obtain research data, allowing for fast, flexible, and cost-effective data collection compared to more traditional modes such as in-person and phone interviews. In an era of big data, academic research has also increasingly been able to access administrative records (e.g., Kostøl and Mogstad, 2014; Cesarini et al., 2016), private-sector financial records (e.g., Gelman et al., 2014), and administrative data married with surveys (Ameriks et al., 2020), to answer questions that could not be successfully tackled otherwise.

中文翻译：

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退休分析与政策新纵向数据专刊简介

在过去的二十年里，可供退休经济学和政策学术研究的数据源数量迅速增加。研究之间的数据质量和可比性也得到了显着改善，调查问卷逐渐趋向于引出相同可衡量概念的常用方法。基于概率的互联网面板已成为一种更被接受和认可的获取研究数据的工具，与面对面和电话采访等更传统的模式相比，它可以实现快速、灵活且具有成本效益的数据收集。在大数据时代，学术研究也越来越能够访问行政记录（例如，Kostøl 和 Mogstad，2014；Cesarini等人., 2016)，私营部门的财务记录（例如，Gelman等人., 2014)，以及与调查相结合的行政数据 (Ameriks等人., 2020)，以回答其他无法成功解决的问题。