From annual to quarterly data: challenges and strategies in the estimation of Italian General Government Compensation of employees
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从年度到季度：意大利一般政府雇员报酬估计的挑战与策略
- 研究问题
- 在高频数据有限且必须满足年度总量约束时，如何按 ESA 2010 权责发生原则估计意大利一般政府的季度雇员报酬？
- 方法与思路
- 作者采用间接时间分解与年内代理指标，协调现金和法律应计来源，调整补发工资归属，并分别估计政府三个子部门。
- 材料陈述的贡献
- 摘要称多来源协调和全过程统计检验支持准确、及时的季度估计，尤其处理集体协议延迟产生的补发款及年内动态。
- 阅读关注点
- 应核对年度约束实现方式、代理指标的选择、补发工资跨期分配规则，以及各子部门模型的验证标准和修订表现。
- 阅读边界
- 这是预印本，同行评审及期刊接收未核实。摘要未列明时间分解模型、统计检验或误差指标，准确及时的主张尚缺具体证据。
原文摘要
This paper addresses the methodology for the quarterly estimation of Compensation of Employees paid by the General Government (GG) sector, in accordance with the European System of Accounts (ESA 2010). Due to the limited high-frequency data availability and the need to guarantee the consistency with annual constraints, quarterly estimation relies on indirect temporal disaggregation techniques. These methods use specific infra-annual indicators as proxies for the variables being estimated. The specific case of the quarterly estimation of Compensation of employees presents several additional challenges. Firstly, the information provided by the sources, based on cash or legal-accrual data, is elaborated to define indicators which respect the accrual ESA 2010 principle as the annual estimates, based on more compliant data sources such as final budgets of public entities. Secondly, at a quarterly level the extraordinary events - such as the recording of delayed collective bargaining agreements which result in arrears - have a strong impact on quarterly indicators, whereas their effect is mitigated at annual level. To attribute these flows to the period when the work is performed, multi-source data harmonization techniques are employed. Thirdly, to accurately reflect intra-annual dynamics, information is collected for specific groups of GG entities (e.g., regions and provinces) and aggregated into ESA 2010 GG sub-sectors (Central Government, Local Government, Social Security Funds) leading to three specific estimates. To validate temporal disaggregation models and ensure methodological rigor and data quality, statistical tests are applied throughout the process. The results confirm the effectiveness of this methodology in providing accurate and timely quarterly estimates of Compensation of employees for the GG sector, thereby supporting reliable short-term economic analysis and policy making.