Code for: The Importance of Blended Data: Measuring Employment at a Weekly Frequency
收藏ICPSR2023-01-01 更新2026-04-16 收录
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https://www.openicpsr.org/openicpsr/project/190661/version/V1/view
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资源简介：
Replication code for Cajner et al. (2023): "The Importance of Blended Data: Measuring Employment at a Weekly Frequency." Code is for use with Fame. Underlying data are confidential and cannot be shared but have been detailed in previous papers.<br><br>Paper abstract: The success of nontraditional data for tracking the economy during the COVID-19 pandemic has highlighted the value of traditional data for benchmarking and validation of alternative sources. We document the development of weekly employment indexes based on microdata from the payroll firm ADP. These data provided timely, high-frequency insights into labor market developments in the fast-moving pandemic environment. We describe processes for weighting and benchmarking the data to official sources, seasonally adjusting at weekly frequency, and ultimately combining the signals of ADP and official data. <br><br><br><br>
提供机构：
Board of Governors of the Federal Reserve System
创建时间：
2023-01-01
