Multisectoral models usually have a single representative household. However, more diversity of household types is needed to analyse the effects of multiple phenomena (i.e. ageing, gender inequality, distributional income impact, etc.). Household consumption surveys’ microdata is a rich data source for these types of analysis. However, feeding multisectoral models with this type of information is not simple and recent studies show how even slightly inaccurate procedures might result in significantly biased results. This paper presents the full procedure for feeding household consumption microdata into macroeconomic models and for the first time provides in a systematic way an estimation of the bridge matrices needed to link European Union Household Budget Surveys’ microdata with the most popular multi-regional input–output frameworks (e.g. Eurostat, WIOD, EORA, OECD).

多部门模型通常只有一个代表家庭。但是，需要更多的家庭类型多样性来分析多种现象的影响（例如老龄化，性别不平等，分配收入的影响等）。家庭消费调查的微数据是此类分析的丰富数据源。但是，用这种类型的信息提供多部门模型并不简单，而且最近的研究表明，即使略有不正确的程序也可能导致明显偏倚的结果。本文介绍了将家庭消费微观数据输入宏观经济模型的完整程序，并首次以系统的方式估算了将欧盟家庭预算调查的微观数据与最受欢迎的多区域投入产出联系起来所需的桥梁矩阵。框架（例如