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Reconciliation of labour market statistics using macro-integration

机译:使用宏观整合对劳动力市场统计进行核对

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摘要

Macro-integration techniques are used for the reconciliation of macro figures, usually in the form of large multidimensional tabulations, obtained from different sources. Traditionally these techniques have been extensively applied in the area of macro-economics, especially in the compilation of the National Accounts. Methods for macro-integration have developed over the years to become very versatile techniques for integration of data from different sources at the macro level. Applications in other domains than macro-economics seem promising. In this paper we present an application to labour market data from two sources, an administrative one and a survey, with slightly different definitions and different frequencies of reporting (monthly, quarterly). The purpose is to combine these estimates to form a single monthly estimate. Depending on the specification of the macro-integration model several alternatives for obtaining such estimates are derived.
机译:宏集成技术用于对宏图形进行对帐,通常以从不同来源获得的大型多维列表的形式。传统上,这些技术已广泛应用于宏观经济学领域,尤其是国民账户编制。多年来,宏集成方法已经发展成为一种非常通用的技术,可以在宏级别上集成来自不同来源的数据。宏观经济学以外的其他领域的应用似乎很有希望。在本文中,我们介绍了两种来源的劳动力市场数据的应用:行政来源和调查,其定义略有不同,报告频率也有所不同(每月,每季度)。目的是将这些估计值合并以形成一个月度估计值。根据宏集成模型的规范,得出了获得这种估计的几种选择。

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