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The U.S. Nonfarm Payroll and the out-of-sample predictability of output growth for over six decades

We examine the predictive prowess of the U.S. Nonfarm Payroll (USNFP) for output growth in the U.S. covering over six decades from 1947 to 2021. Using two different measures of output growth (with Gross Domestic Product growth being used for the main analysis and growth in Industrial Production Inde...

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Detalles Bibliográficos
Autores principales: Salisu, Afees A., Olaniran, Abeeb
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853226/
https://www.ncbi.nlm.nih.gov/pubmed/35194253
http://dx.doi.org/10.1007/s11135-022-01342-8
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author Salisu, Afees A.
Olaniran, Abeeb
author_facet Salisu, Afees A.
Olaniran, Abeeb
author_sort Salisu, Afees A.
collection PubMed
description We examine the predictive prowess of the U.S. Nonfarm Payroll (USNFP) for output growth in the U.S. covering over six decades from 1947 to 2021. Using two different measures of output growth (with Gross Domestic Product growth being used for the main analysis and growth in Industrial Production Index for robustness check), our predictability results show that the U.S. Nonfarm Payroll offers some predictive information for output growth in the U.S. and the out-of-sample forecast results equally attest to the superiority of the USNFP-based model over the model that ignores it. Our findings have implications for policy directions in the U.S. and various national and regional governments, multilateral agencies and investors whose economic and financial conditions are directly or indirectly linked with the U.S. economy.
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spelling pubmed-88532262022-02-18 The U.S. Nonfarm Payroll and the out-of-sample predictability of output growth for over six decades Salisu, Afees A. Olaniran, Abeeb Qual Quant Article We examine the predictive prowess of the U.S. Nonfarm Payroll (USNFP) for output growth in the U.S. covering over six decades from 1947 to 2021. Using two different measures of output growth (with Gross Domestic Product growth being used for the main analysis and growth in Industrial Production Index for robustness check), our predictability results show that the U.S. Nonfarm Payroll offers some predictive information for output growth in the U.S. and the out-of-sample forecast results equally attest to the superiority of the USNFP-based model over the model that ignores it. Our findings have implications for policy directions in the U.S. and various national and regional governments, multilateral agencies and investors whose economic and financial conditions are directly or indirectly linked with the U.S. economy. Springer Netherlands 2022-02-13 2022 /pmc/articles/PMC8853226/ /pubmed/35194253 http://dx.doi.org/10.1007/s11135-022-01342-8 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Salisu, Afees A.
Olaniran, Abeeb
The U.S. Nonfarm Payroll and the out-of-sample predictability of output growth for over six decades
title The U.S. Nonfarm Payroll and the out-of-sample predictability of output growth for over six decades
title_full The U.S. Nonfarm Payroll and the out-of-sample predictability of output growth for over six decades
title_fullStr The U.S. Nonfarm Payroll and the out-of-sample predictability of output growth for over six decades
title_full_unstemmed The U.S. Nonfarm Payroll and the out-of-sample predictability of output growth for over six decades
title_short The U.S. Nonfarm Payroll and the out-of-sample predictability of output growth for over six decades
title_sort u.s. nonfarm payroll and the out-of-sample predictability of output growth for over six decades
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853226/
https://www.ncbi.nlm.nih.gov/pubmed/35194253
http://dx.doi.org/10.1007/s11135-022-01342-8
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