Meijer, Rohwedder, and Wansbeek (MRW, Journal of Business & Economic Statistics, 2012) developed methods for prediction of a single earnings figure per worker from mixture factor models fitted using earnings data from multiple linked data sources. MRW applied their method using parameter estimates of Kapteyn and Ypma's mixture factor model (KY, Journal of Labour Economics 2007) fitted to earnings data for Swedish workers aged 50+. First, we replicate MRW's empirical analysis using the Swedish model estimates. Second, we check the generality of their empirical finding with a new application. Using estimates of a KY model fit to a linked dataset on earnings for UK employees of all ages, we confirm that MRW's principal findings about the performance of their various predictors of true earnings also hold in this different setting.

中文翻译：

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收益数据中的测量误差：复制 Meijer、Rohwedder 和 Wansbeek 将调查和登记数据结合起来的混合模型方法

Meijer、Rohwedder 和 Wansbeek（MRW，商业与经济统计杂志，2012 年）开发了通过使用来自多个关联数据源的收入数据拟合的混合因子模型来预测每个工人的单一收入数字的方法。MRW 使用 Kapteyn 和 Ypma 的混合因子模型（KY，Journal of Labor Economics）的参数估计来应用他们的方法2007 年）适合 50 岁以上瑞典工人的收入数据。首先，我们使用瑞典模型估计复制 MRW 的实证分析。其次，我们用一个新的应用程序检查他们的经验发现的普遍性。使用适合所有年龄段英国雇员收入的链接数据集的 KY 模型估计，我们确认 MRW 关于其各种真实收入预测指标的表现的主要发现也适用于这种不同的环境。