Code for: The Importance of Blended Data: Measuring Employment at a Weekly Frequency

Principal Investigator(s): View help for Principal Investigator(s) Tomaz Cajner, Board of Governors of the Federal Reserve System; Leland Crane, Board of Governors of the Federal Reserve System; Ryan Decker, Board of Governors of the Federal Reserve System; Adrian Hamins-Puertolas, Board of Governors of the Federal Reserve System; Christopher Kurz, Board of Governors of the Federal Reserve System

Version: View help for Version V1

Name	File Type	Size	Last Modified
README.docx	application/vnd.openxmlformats-officedocument.wordprocessingml.document	20.1 KB	05/02/2023 12:45:PM
fig1.csv	text/csv	211 bytes	05/02/2023 12:00:PM
fig2.csv	text/csv	812 bytes	05/02/2023 12:00:PM
fig3.csv	text/csv	1.7 KB	05/02/2023 12:00:PM
figs_508_pp.pro	text/x-prolog	6.4 KB	05/02/2023 12:00:PM

Project Citation:

Cajner, Tomaz, Crane, Leland, Decker, Ryan, Hamins-Puertolas, Adrian, and Kurz, Christopher. Code for: The Importance of Blended Data: Measuring Employment at a Weekly Frequency. Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-05-09. https://doi.org/10.3886/E190661V1

Project Description

Summary: 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.

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.

Scope of Project

Subject Terms: Nontraditional data; pandemic; employment

JEL Classification:
      C81 Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
      E24 Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
      J21 Labor Force and Employment, Size, and Structure

Data Type(s): program source code

Methodology

Data Source: The paper uses weekly employment microdata from the payroll processing firm ADP. Weekly employment indexes for the US are constructed, and the paper reports weekly employment patterns for the Covid-19 pandemic.

Related Publications

Download this project

Published Versions

V1 [2023-05-09]

Export Metadata

Dublin Core

DDI 2.5

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.