Employment reconciliation and nowcasting
Author
Abstract
Suggested Citation
DOI: 10.1002/jae.2995
Download full text from publisher
Other versions of this item:
- Eiji Goto & Jan P.A.M. Jacobs & Tara M. Sinclair & Simon van Norden, 2021. "Employment Reconciliation and Nowcasting," Working Papers 2021-007, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
References listed on IDEAS
- Martín Almuzara & Gabriele Fiorentini & Enrique Sentana, 2023.
"Aggregate Output Measurements: A Common Trend Approach,"
Advances in Econometrics, in: Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications, volume 45, pages 3-33,
Emerald Group Publishing Limited.
- Martín Almuzara & Gabriele Fiorentini & Enrique Sentana, 2021. "Aggregate output measurements: a common trend approach," Working Paper series 21-02, Rimini Centre for Economic Analysis.
- Gabriele Fiorentini & Martín Almuzara & Enrique Sentana, 2021. "Aggregate Output Measurements: A Common Trend Approach," Staff Reports 962, Federal Reserve Bank of New York.
- Martín Almuzara & Gabriele Fiorentini & Enrique Sentana, 2021. "Aggregate Output Measurements: a Common Trend Approach," Econometrics Working Papers Archive 2021_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
- Martín Almuzara & Gabriele Fiorentini & Enrique Sentana, 2021. "Aggregate Output Measurements: A Common Trend Approach," Working Papers wp2021_2101, CEMFI.
- Sentana, Enrique & Almuzara, Martin & Fiorentini, Gabriele, 2021. "Aggregate Output Measurements: A Common Trend Approach," CEPR Discussion Papers 15758, C.E.P.R. Discussion Papers.
- Aruoba, S. Borağan & Diebold, Francis X. & Nalewaik, Jeremy & Schorfheide, Frank & Song, Dongho, 2016.
"Improving GDP measurement: A measurement-error perspective,"
Journal of Econometrics, Elsevier, vol. 191(2), pages 384-397.
- Boragan Aruoba & Francis X. Diebold & Jeremy Nalewaik & Frank Schorfheide & Dongho Song, 2013. "Improving GDP Measurement: A Measurement-Error Perspective," PIER Working Paper Archive 13-016, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- S. Boragan Aruoba & Francis X. Diebold & Jeremy J. Nalewaik & Frank Schorfheide & Dongho Song, 2013. "Improving GDP measurement: a measurement-error perspective," Working Papers 13-16, Federal Reserve Bank of Philadelphia.
- S. Boraǧan Aruoba & Francis X. Diebold & Jeremy Nalewaik & Frank Schorfheide & Dongho Song, 2013. "Improving GDP Measurement: A Measurement-Error Perspective," NBER Working Papers 18954, National Bureau of Economic Research, Inc.
- Nikoleta Anesti & Ana Beatriz Galvao & Silvia Miranda-Agrippino, 2018.
"Uncertain Kingdom: Nowcasting GDP and its Revisions,"
Discussion Papers
1824, Centre for Macroeconomics (CFM).
- Anesti, Nikoleta & Galvão, Ana & Miranda-Agrippino, Silvia, 2018. "Uncertain Kingdom: nowcasting GDP and its revisions," Bank of England working papers 764, Bank of England, revised 31 Jan 2020.
- Anesti, Nikoleta & Galvao, Ana Beatriz & Miranda-Agrippino, Silvia, 2018. "Uncertain kingdom: nowcasting GDP and its revisions," LSE Research Online Documents on Economics 90382, London School of Economics and Political Science, LSE Library.
- Marcelle Chauvet & Jeremy Piger, 2013.
"Employment And The Business Cycle,"
Manchester School, University of Manchester, vol. 81, pages 16-42, October.
- Marcelle, Chauvet & Jeremy, Piger, 2010. "Employment and the business cycle," MPRA Paper 34103, University Library of Munich, Germany.
- Marcelle, Chauvet & Jeremy, Piger, 2010. "Employment and the business cycle," MPRA Paper 46642, University Library of Munich, Germany.
- Phillips, Keith R. & Nordlund, James, 2012. "The efficiency of the benchmark revisions to the current employment statistics (CES) data," Economics Letters, Elsevier, vol. 115(3), pages 431-434.
- Jan P. A. M. Jacobs & Samad Sarferaz & Jan-Egbert Sturm & Simon van Norden, 2022.
"Can GDP Measurement Be Further Improved? Data Revision and Reconciliation,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 423-431, January.
- Jan P.A.M. Jacobs & Samad Sarferaz & Jan-Egbert Sturm & Simon van Norden, 2018. "Can GDP measurement be further improved? Data revision and reconciliation," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-15, Economic Statistics Centre of Excellence (ESCoE).
- Jan P. A. M. Jacobs & Samad Sarferaz & Jan-Egbert Sturm & Simon van Norden, 2018. "Can GDP measurement be further improved? Data revision and reconciliation," Papers 1808.04970, arXiv.org.
- Weale, Martin, 1992. "Estimation of Data Measured with Error and Subject to Linear Restrictions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(2), pages 167-174, April-Jun.
- Richard Stone & D. G. Champernowne & J. E. Meade, 1942. "The Precision of National Income Estimates," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 9(2), pages 111-125.
- Tomaz Cajner & Leland D. Crane & Ryan A. Decker & Adrian Hamins-Puertolas & Christopher Kurz, 2019.
"Improving the Accuracy of Economic Measurement with Multiple Data Sources: The Case of Payroll Employment Data,"
NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 147-170,
National Bureau of Economic Research, Inc.
- Tomaz Cajner & Leland D. Crane & Ryan A. Decker & Adrian Hamins-Puertolas & Christopher J. Kurz, 2019. "Improving the Accuracy of Economic Measurement with Multiple Data Sources: The Case of Payroll Employment Data," Finance and Economics Discussion Series 2019-065, Board of Governors of the Federal Reserve System (U.S.).
- Tomaz Cajner & Leland D. Crane & Ryan A. Decker & Adrian Hamins-Puertolas & Christopher Kurz, 2019. "Improving the Accuracy of Economic Measurement with Multiple Data Sources: The Case of Payroll Employment Data," NBER Working Papers 26033, National Bureau of Economic Research, Inc.
- Xiaohong Chen & Norman R. Swanson (ed.), 2013. "Recent Advances and Future Directions in Causality, Prediction, and Specification Analysis," Springer Books, Springer, edition 127, number 978-1-4614-1653-1, June.
- Barend Abeln & Jan P. A. M. Jacobs, 2023. "Seasonal Adjustment Without Revisions," SpringerBriefs in Economics, Springer, number 978-3-031-22845-2, October.
- Michael T. Owyang & E. Katarina Vermann, 2014. "Employment Revision Asymmetries," Economic Synopses, Federal Reserve Bank of St. Louis, issue 11.
- Kevin Dowd & Margaret Woods & John Cotter & Chris Humphrey, 2010.
"How Unlucky is 25-Sigma?,"
Working Papers
200838, Geary Institute, University College Dublin.
- Kevin Dowd & John Cotter & Chris Humphrey & Margaret Woods, 2011. "How Unlucky is 25-Sigma?," Papers 1103.5672, arXiv.org.
- Neumark, David & Wascher, William L, 1991. "Can We Improve upon Preliminary Estimates of Payroll Employment Growth?," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(2), pages 197-205, April.
- Frank Smets & Rafael Wouters, 2007.
"Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach,"
American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
- Smets, Frank & Wouters, Raf, 2007. "Shocks and frictions in US business cycles: a Bayesian DSGE approach," Working Paper Series 722, European Central Bank.
- Smets, Frank & Wouters, Rafael, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," CEPR Discussion Papers 6112, C.E.P.R. Discussion Papers.
- Frank Smets & Raf Wouters, 2007. "Shocks and Frictions in US Business Cycles : a Bayesian DSGE Approach," Working Paper Research 109, National Bank of Belgium.
- Barend Abeln & Jan P. A. M. Jacobs, 2023.
"CAMPLET: Seasonal Adjustment Without Revisions,"
SpringerBriefs in Economics, in: Seasonal Adjustment Without Revisions, chapter 0, pages 7-29,
Springer.
- Barend Abeln & Jan P. A. M. Jacobs & Pim Ouwehand, 2019. "CAMPLET: Seasonal Adjustment Without Revisions," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 15(1), pages 73-95, April.
- Nicholas Haltom & Vanessa D. Mitchell & Ellis W. Tallman, 2005. "Payroll employment data: measuring the effects of annual benchmark revisions," Economic Review, Federal Reserve Bank of Atlanta, vol. 90(Q 2), pages 1-23.
- repec:bla:manchs:v:81:y:2013:i:s2:p:16-42 is not listed on IDEAS
- Serena Ng, 2021.
"Modeling Macroeconomic Variations after Covid-19,"
NBER Working Papers
29060, National Bureau of Economic Research, Inc.
- Serena Ng, 2021. "Modeling Macroeconomic Variations After COVID-19," Papers 2103.02732, arXiv.org, revised Jul 2021.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Martín Almuzara & Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2024.
"GDP Solera: The Ideal Vintage Mix,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(3), pages 984-997, July.
- Martín Almuzara & Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2022. "GDP Solera. The Ideal Vintage Mix," Working Papers wp2022_2204, CEMFI.
- Almuzara, Martin & Amengual, Dante & Fiorentini, Gabriele & Sentana, Enrique, 2022. "GDP Solera: The Ideal Vintage Mix," CEPR Discussion Papers 17196, C.E.P.R. Discussion Papers.
- Dante Amengual & Gabriele Fiorentini & Martín Almuzara & Enrique Sentana, 2022. "GDP Solera: The Ideal Vintage Mix," Staff Reports 1027, Federal Reserve Bank of New York.
- James Mitchell & Gary Koop & Stuart McIntyre & Aubrey Poon, 2020.
"Reconciled Estimates of Monthly GDP in the US,"
Economic Statistics Centre of Excellence (ESCoE) Discussion Papers
ESCoE DP-2020-16, Economic Statistics Centre of Excellence (ESCoE).
- Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2022. "Reconciled Estimates of Monthly GDP in the US," Working Papers 22-01, Federal Reserve Bank of Cleveland.
- Koop, Gary & McIntyre, Stuart & Mitchell, James & Poon, Aubrey, 2020. "Reconciled Estimates of Monthly GDP in the US," EMF Research Papers 37, Economic Modelling and Forecasting Group.
- Ana Beatriz Galvão & James Mitchell, 2023.
"Real‐Time Perceptions of Historical GDP Data Uncertainty,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 457-481, June.
- Galvao, Ana Beatriz & Mitchell, James, 2020. "Real-Time Perceptions of Historical GDP Data Uncertainty," EMF Research Papers 35, Economic Modelling and Forecasting Group.
- Cai, Michael & Del Negro, Marco & Giannoni, Marc P. & Gupta, Abhi & Li, Pearl & Moszkowski, Erica, 2019.
"DSGE forecasts of the lost recovery,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1770-1789.
- Michael Cai & Marco Del Negro & Marc Giannoni & Abhi Gupta & Pearl Li & Erica Moszkowski, 2018. "DSGE forecasts of the lost recovery," Staff Reports 844, Federal Reserve Bank of New York.
- Jan P. A. M. Jacobs & Samad Sarferaz & Jan-Egbert Sturm & Simon van Norden, 2022.
"Can GDP Measurement Be Further Improved? Data Revision and Reconciliation,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 423-431, January.
- Jan P. A. M. Jacobs & Samad Sarferaz & Jan-Egbert Sturm & Simon van Norden, 2018. "Can GDP measurement be further improved? Data revision and reconciliation," Papers 1808.04970, arXiv.org.
- Jan P.A.M. Jacobs & Samad Sarferaz & Jan-Egbert Sturm & Simon van Norden, 2018. "Can GDP measurement be further improved? Data revision and reconciliation," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-15, Economic Statistics Centre of Excellence (ESCoE).
- Tomaz Cajner & Leland D. Crane & Ryan A. Decker & Adrian Hamins-Puertolas & Christopher Kurz, 2019.
"Improving the Accuracy of Economic Measurement with Multiple Data Sources: The Case of Payroll Employment Data,"
NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 147-170,
National Bureau of Economic Research, Inc.
- Tomaz Cajner & Leland D. Crane & Ryan A. Decker & Adrian Hamins-Puertolas & Christopher J. Kurz, 2019. "Improving the Accuracy of Economic Measurement with Multiple Data Sources: The Case of Payroll Employment Data," Finance and Economics Discussion Series 2019-065, Board of Governors of the Federal Reserve System (U.S.).
- Tomaz Cajner & Leland D. Crane & Ryan A. Decker & Adrian Hamins-Puertolas & Christopher Kurz, 2019. "Improving the Accuracy of Economic Measurement with Multiple Data Sources: The Case of Payroll Employment Data," NBER Working Papers 26033, National Bureau of Economic Research, Inc.
- Tincho Almuzara & Dante Amengual & Enrique Sentana, 2017. "Normality Tests for Latent Variables," Working Papers wp2018_1708, CEMFI.
- Sekine, Toshitaka, 2022. "Looking from Gross Domestic Income: Alternative view of Japan’s economy," Japan and the World Economy, Elsevier, vol. 64(C).
- Athanasopoulos, George & Hyndman, Rob J. & Kourentzes, Nikolaos & Panagiotelis, Anastasios, 2024.
"Forecast reconciliation: A review,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 430-456.
- George Athanasopoulos & Rob J Hyndman & Nikolaos Kourentzes & Anastasios Panagiotelis, 2023. "Forecast Reconciliation: A Review," Monash Econometrics and Business Statistics Working Papers 8/23, Monash University, Department of Econometrics and Business Statistics.
- John G. Fernald & J. Christina Wang, 2016.
"Why Has the Cyclicality of Productivity Changed? What Does It Mean?,"
Annual Review of Economics, Annual Reviews, vol. 8(1), pages 465-496, October.
- John G. Fernald & J. Christina Wang, 2015. "Why has the cyclicality of productivity changed?: what does it mean?," Current Policy Perspectives 15-6, Federal Reserve Bank of Boston.
- John G. Fernald & J. Christina Wang, 2016. "Why has the cyclicality of productivity changed? What does it mean?," Working Paper Series 2016-7, Federal Reserve Bank of San Francisco.
- J. Wang & John Fernald, 2016. "Why Has the Cyclicality of Productivity Changed? What Does It Mean?," 2016 Meeting Papers 1220, Society for Economic Dynamics.
- Dennis J. Fixler & Jeremy J. Nalewaik, 2007.
"News, noise, and estimates of the \"true\" unobserved state of the economy,"
Finance and Economics Discussion Series
2007-34, Board of Governors of the Federal Reserve System (U.S.).
- Dennis J. Fixler & Jeremy Nalewaik, 2010. "News, Noise, and Estimates of the "True" Unobserved State of the Economy," BEA Working Papers 0068, Bureau of Economic Analysis.
- Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 141-194, Elsevier.
- Alessandro Giovannelli & Marco Lippi & Tommaso Proietti, 2023.
"Band-Pass Filtering with High-Dimensional Time Series,"
Papers
2305.06618, arXiv.org.
- Alessandro Giovannelli & Marco Lippi & Tommaso Proietti, 2023. "Band-Pass Filtering with High-Dimensional Time Series," CEIS Research Paper 559, Tor Vergata University, CEIS, revised 15 Jun 2023.
- Kurt Graden Lunsford, 2023. "The Discrepancy Between Expenditure- and Income-Side Estimates of US Output," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2023(01), pages 1-7, January.
- Martín Almuzara & Dante Amengual & Enrique Sentana, 2019.
"Normality tests for latent variables,"
Quantitative Economics, Econometric Society, vol. 10(3), pages 981-1017, July.
- Tincho Almuzara & Dante Amengual & Enrique Sentana, 2017. "Normality Tests for Latent Variables," Working Papers wp2017_1708, CEMFI.
- Phillips, Keith R. & Nordlund, James, 2012. "The efficiency of the benchmark revisions to the current employment statistics (CES) data," Economics Letters, Elsevier, vol. 115(3), pages 431-434.
- Jan P.A.M. Jacobs & Samad Sarferaz & Simon van Norden & Jan-Egbert Sturm, 2013. "Modeling Multivariate Data Revisions," CIRANO Working Papers 2013s-44, CIRANO.
- Kohns, David & Potjagailo, Galina, 2023. "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers 1025, Bank of England.
- Luca Guerrieri & Dale Henderson & Jinill Kim, 2014. "Modeling Investment‐Sector Efficiency Shocks: When Does Disaggregation Matter?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(3), pages 891-917, August.
- Athanasios Geromichalos & Lucas Herrenbrueck, 2022.
"The Liquidity-Augmented Model of Macroeconomic Aggregates: A New Monetarist DSGE Approach,"
Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 134-167, July.
- Athanasios Geromichalos & Lucas Herrenbrueck, 2021. "Code and data files for "The Liquidity-Augmented Model of Macroeconomic Aggregates: A New Monetarist DSGE Approach"," Computer Codes 19-205, Review of Economic Dynamics.
More about this item
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
- E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:japmet:v:38:y:2023:i:7:p:1007-1017. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0883-7252/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.