Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Ryan A. Decker"'
Publikováno v:
AEA Papers and Proceedings. 113:145-150
Nontraditional data can provide critical economic insights in real time. We document the development of weekly employment indexes based on microdata from the payroll processor ADP. These data have provided insights into labor market developments in t
Publikováno v:
2023 IEEE Aerospace Conference.
Publikováno v:
Finance and Economics Discussion Series. 2020:1-32
Using data from 14 government sources, we develop comprehensive estimates of U.S. economic activity by sector, legal form of organization, and firm size to characterize how four government direct lending programs—the Paycheck Protection Program, th
Publikováno v:
American Economic Review. 110:3952-3990
The pace of job reallocation has declined in all U.S. sectors since 2000. In standard models, aggregate job reallocation depends on (a) the dispersion of idiosyncratic productivity shocks faced by businesses and (b) the marginal responsiveness of bus
Autor:
Ryan A. Decker, John Haltiwanger
Publikováno v:
FEDS Notes. 2022
The economic effects of the COVID-19 pandemic brought new focus to questions about business entry and survival. The spring of 2020 was characterized by widespread fear of surging business exit (death).
Autor:
Tomaz Cajner, Leland D. Crane, Ryan A. Decker, John Grigsby, Adrian Hamins-Puertolas, Erik Hurst, Christopher Kurz, Ahu Yildirmaz
Publikováno v:
Brookings Papers on Economic Activity. 2020:3-33
Publikováno v:
FEDS Notes. 2019:1-4
In our research, we explore the information content of the ADP microdata alone by producing an estimate of employment changes independent from the BLS payroll series as well as from other data sources.
Publikováno v:
Journal of Macroeconomics. 72:103419
Lags in official data releases have forced economists and policymakers to leverage "alternative" or "non-traditional" data to measure business exit resulting from the COVID- 19 pandemic. We first review official data on business exit in recent decade
Autor:
Ahu Yildirmaz, John Grigsby, Erik Hurst, Leland D. Crane, Tomaz Cajner, Ryan A. Decker, Adrian Hamins-Puertolas, Christopher Kurz
From the Abstract: Using weekly, anonymized administrative payroll data from the largest U S payroll processing company, we measure the deterioration of the U S labor market during the first two months of the global COVID-19 [coronavirus disease 2019
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::220f185ecd28953e7868656d6d6b0979
https://doi.org/10.3386/w27159
https://doi.org/10.3386/w27159
Publikováno v:
SSRN Electronic Journal.
Many traditional official statistics are not suitable for measuring high-frequency developments that evolve over the course of weeks, not months. In this paper, we track the labor market effects of the COVID-19 pandemic with weekly payroll employment