Improving the Accuracy of Economic Measurement with Multiple Data Sources: The Case of Payroll Employment Data
Author
Abstract
Suggested Citation
DOI: 10.17016/FEDS.2019.065
Download full text from publisher
Other versions of this item:
- 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 21st Century Economic Statistics, National Bureau of Economic Research, Inc.
- 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.
References listed on IDEAS
- Cooper, Russell & Haltiwanger, John & Willis, Jonathan L., 2015.
"Dynamics of labor demand: Evidence from plant-level observations and aggregate implications,"
Research in Economics, Elsevier, vol. 69(1), pages 37-50.
- Russell W. Cooper & John Haltiwanger & Jonathan L. Willis, 2003. "Dynamics of labor demand : evidence from plant-level observations and aggregate implications," Research Working Paper RWP 03-12, Federal Reserve Bank of Kansas City.
- Russel W. Cooper & John C. Haltiwanger & Jonathan Willis, 2004. "Dynamics of Labor Demand: Evidence from Plant-level Observations and Aggregate Implications," NBER Working Papers 10297, National Bureau of Economic Research, Inc.
- Alan B. Krueger & Kenneth N. Fortson, 2003.
"Do Markets Respond More to More Reliable Labor Market Data? A Test of Market Rationality,"
Journal of the European Economic Association, MIT Press, vol. 1(4), pages 931-957, June.
- Alan B. Krueger & Kenneth N. Fortson, 1996. "Do Markets Respond More To More Reliable Labor Market Data? A Test of Market Rationality," Working Papers 746, Princeton University, Department of Economics, Industrial Relations Section..
- Alan B. Krueger & Kenneth N. Forston, 2003. "Do Markets Respond More to More Reliable Labor Market Data? A Test of Market Rationality," Working Papers 114, Princeton University, Department of Economics, Center for Economic Policy Studies..
- Alan B. Krueger, 1996. "Do Markets Respond More to More Reliable Labor Market Data? A Test of Market Rationality," NBER Working Papers 5769, National Bureau of Economic Research, Inc.
- 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.
- Brad Hershbein & Lisa B. Kahn, 2018.
"Do Recessions Accelerate Routine-Biased Technological Change? Evidence from Vacancy Postings,"
American Economic Review, American Economic Association, vol. 108(7), pages 1737-1772, July.
- Brad J. Hershbein & Lisa B. Kahn, "undated". "Do Recessions Accelerate Routine-Biased Technological Change? Evidence from Vacancy Postings," Upjohn Working Papers and Journal Articles hk-18aer, W.E. Upjohn Institute for Employment Research.
- Brad Hershbein & Lisa B. Kahn, 2016. "Do Recessions Accelerate Routine-Biased Technological Change? Evidence from Vacancy Postings," NBER Working Papers 22762, National Bureau of Economic Research, Inc.
- Brad J. Hershbein & Lisa B. Kahn, 2016. "Do Recessions Accelerate Routine-Biased Technological Change? Evidence from Vacancy Postings," Upjohn Working Papers and Journal Articles 16-254, W.E. Upjohn Institute for Employment Research.
- S. Boragan Aruoba & Francis X. Diebold & Jeremy J. Nalewaik & Frank Schorfheide & Dongho Song, 2011.
"Improving GDP measurement: a forecast combination perspective,"
Working Papers
11-41, Federal Reserve Bank of Philadelphia.
- S. Boragan Aruoba & Francis X. Diebold & Jeremy Nalewaik & Frank Schorfheide & Dongho Song, 2011. "Improving GDP Measurement: A Forecast Combination Perspective," NBER Working Papers 17421, National Bureau of Economic Research, Inc.
- Boragan Aruoba & Francis X. Diebold & Jeremy Nalewaik & Frank Schorfheide & Dongho Song, 2011. "Improving GDP Measurement: A Forecast Combination Perspective," PIER Working Paper Archive 11-028, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- John Grigsby & Erik Hurst, 2019. "Aggregate Nominal Wage Adjustments: New Evidence from Administrative Payroll Data," 2019 Meeting Papers 153, Society for Economic Dynamics.
- Aditya Aladangady & Shifrah Aron-Dine & Wendy E. Dunn & Laura Feiveson & Paul Lengermann & Claudia R. Sahm, 2016. "The Effect of Hurricane Matthew on Consumer Spending," FEDS Notes 2016-12-02, Board of Governors of the Federal Reserve System (U.S.).
- Allan W. Gregory & Hui Zhu, 2014. "Testing the value of lead information in forecasting monthly changes in employment from the Bureau of Labor Statistics," Applied Financial Economics, Taylor & Francis Journals, vol. 24(7), pages 505-514, April.
- John Grigsby & Erik Hurst & Ahu Yildirmaz, 2019. "Aggregate Nominal Wage Adjustments: New Evidence from Administrative Payroll Data," NBER Working Papers 25628, National Bureau of Economic Research, Inc.
- Alberto Cavallo & Roberto Rigobon, 2016.
"The Billion Prices Project: Using Online Prices for Measurement and Research,"
Journal of Economic Perspectives, American Economic Association, vol. 30(2), pages 151-178, Spring.
- Alberto Cavallo & Roberto Rigobon, 2016. "The Billion Prices Project: Using Online Prices for Measurement and Research," NBER Working Papers 22111, National Bureau of Economic Research, Inc.
- Keith R. Phillips & Christopher Slijk, 2015. "ADP payroll processing data can provide early look at Texas job growth," Southwest Economy, Federal Reserve Bank of Dallas, issue Q2, pages 10-13.
- Tomaz Cajner & Leland Crane & Ryan Decker & Adrian Hamins-Puertolas & Christopher J. Kurz & Tyler Radler, 2018. "Using Payroll Processor Microdata to Measure Aggregate Labor Market Activity," Finance and Economics Discussion Series 2018-005, Board of Governors of the Federal Reserve System (U.S.).
- repec:pri:cepsud:88krueger is not listed on IDEAS
- Joshua H. Gallin & Raven S. Molloy & Eric Nielsen & Paul A. Smith & Kamila Sommer, 2018. "Measuring Aggregate Housing Wealth : New Insights from an Automated Valuation Model," Finance and Economics Discussion Series 2018-064, Board of Governors of the Federal Reserve System (U.S.).
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Tomaz Cajner & Leland Crane & Ryan Decker & Adrian Hamins-Puertolas & Christopher J. Kurz, 2020. "Tracking Labor Market Developments during the COVID-19 Pandemic: A Preliminary Assessment," Finance and Economics Discussion Series 2020-030, Board of Governors of the Federal Reserve System (U.S.).
- Tomaz Cajner & Andrew Figura & Brendan M. Price & David Ratner & Alison E. Weingarden, 2020. "Reconciling Unemployment Claims with Job Losses in the First Months of the COVID-19 Crisis," Finance and Economics Discussion Series 2020-055, Board of Governors of the Federal Reserve System (U.S.).
- Jerome H. Powell, 2019. "Data-Dependent Monetary Policy in an Evolving Economy : A speech at \"Trucks and Terabytes: Integrating the 'Old' and 'New' Economies\" 61st Annual Meeting of the National Association for Bu," Speech 1093, Board of Governors of the Federal Reserve System (U.S.).
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.- Tomaz Cajner & Leland Crane & Ryan Decker & Adrian Hamins-Puertolas & Christopher J. Kurz, 2020. "Tracking Labor Market Developments during the COVID-19 Pandemic: A Preliminary Assessment," Finance and Economics Discussion Series 2020-030, Board of Governors of the Federal Reserve System (U.S.).
- Effrosyni Adamopoulou & Ernesto Villanueva, 2020.
"Wage determination and the bite of collective contracts in Italy and Spain: evidence from the metal working industry,"
Working Papers
2036, Banco de España;Working Papers Homepage.
- Effrosyni Adamopoulou & Ernesto Villanueva, 2020. "Wage Determination and the Bite of Collective Contracts in Italy and Spain: Evidence from the Metalworking Industry," CRC TR 224 Discussion Paper Series crctr224_2020_176, University of Bonn and University of Mannheim, Germany.
- Adamopoulou, Effrosyni & Villanueva, Ernesto, 2020. "Wage Determination and the Bite of Collective Contracts in Italy and Spain: Evidence from the Metalworking Industry," IZA Discussion Papers 13542, Institute of Labor Economics (IZA).
- Andrés Rodríguez-Clare & Mauricio Ulate & José P. Vásquez, 2020.
"New-Keynesian Trade: Understanding the Employment and Welfare Effects of Trade Shocks,"
NBER Working Papers
27905, National Bureau of Economic Research, Inc.
- Andres Rodriguez-Clare & Mauricio Ulate & Jose P. Vasquez, 2020. "New-Keynesian Trade: Understanding the Employment and Welfare Effects of Trade Shocks," Working Papers 265, Princeton University, Department of Economics, Center for Economic Policy Studies..
- Andres Rodriguez-Clare & Mauricio Ulate & Jose P. Vasquez, 2020. "New-Keynesian Trade: Understanding the Employment and Welfare Effects of Trade Shocks," Working Paper Series 2020-32, Federal Reserve Bank of San Francisco.
- Daniel Schäfer & Carl Singleton, 2020.
"Nominal Wage Adjustments and the Composition of Pay: New Evidence from Payroll Data,"
Economics working papers
2020-11, Department of Economics, Johannes Kepler University Linz, Austria.
- Daniel Schaefer & Carl Singleton, 2020. "Nominal Wage Adjustments and the Composition of Pay: New Evidence from Payroll Data," Economics Discussion Papers em-dp2020-01, Department of Economics, Reading University.
- Tomaz Cajner & Leland Crane & Ryan Decker & Adrian Hamins-Puertolas & Christopher J. Kurz & Tyler Radler, 2018. "Using Payroll Processor Microdata to Measure Aggregate Labor Market Activity," Finance and Economics Discussion Series 2018-005, Board of Governors of the Federal Reserve System (U.S.).
- Doligalski, Pawel & Ndiaye, Abdoulaye & Werquin, Nicolas, 2020.
"Redistribution with Performance Pay,"
MPRA Paper
102652, University Library of Munich, Germany.
- Doligalski, Pawel & Werquin, Nicolas & Ndiaye, Abdoulaye, 2020. "Redistribution with Performance Pay," TSE Working Papers 20-1092, Toulouse School of Economics (TSE).
- Pawel Doligalski & Abdoulaye Ndiaye & Nicolas Werquin, 2020. "Redistribution with Performance Pay," CESifo Working Paper Series 8267, CESifo.
- Doligalski, Pawel & Ndiaye, Abdoulaye & Werquin, Nicolas, 2020. "Redistribution with Performance Pay," CEPR Discussion Papers 14648, C.E.P.R. Discussion Papers.
- Pawel Doligalski & Abdoulaye Ndiaye & Nicolas Werquin, 2020. "Redistribution with Performance Pay," Bristol Economics Discussion Papers 20/721, School of Economics, University of Bristol, UK.
- Galindo da Fonseca, João Alfredo & Gallipoli, Giovanni & Yedid-Levi, Yaniv, 2020. "Match quality and contractual sorting," Labour Economics, Elsevier, vol. 66(C).
- Jeremy J. Nalewaik, 2014. "Missing Variation in the Great Moderation: Lack of Signal Error and OLS Regression," Finance and Economics Discussion Series 2014-27, Board of Governors of the Federal Reserve System (U.S.).
- Aditya Aladangady & Shifrah Aron-Dine & Wendy Dunn & Laura Feiveson & Paul Lengermann & Claudia Sahm, 2021.
"From Transactions Data to Economic Statistics: Constructing Real-Time, High-Frequency, Geographic Measures of Consumer Spending,"
NBER Chapters, in: Big Data for 21st Century Economic Statistics,
National Bureau of Economic Research, Inc.
- Aditya Aladangady & Shifrah Aron-Dine & Wendy E. Dunn & Laura Feiveson & Paul Lengermann & Claudia R. Sahm, 2019. "From Transactions Data to Economic Statistics: Constructing Real-time, High-frequency, Geographic Measures of Consumer Spending," Finance and Economics Discussion Series 2019-057, Board of Governors of the Federal Reserve System (U.S.).
- Aditya Aladangady & Shifrah Aron-Dine & Wendy Dunn & Laura Feiveson & Paul Lengermann & Claudia Sahm, 2019. "From Transactions Data to Economic Statistics: Constructing Real-time, High-frequency, Geographic Measures of Consumer Spending," NBER Working Papers 26253, National Bureau of Economic Research, Inc.
- Yoon J. Jo & Sarah Zubairy, 2021. "State dependent government spending multipliers: Downward nominal wage rigidity and sources of business cycle fluctuations," Working Papers 20210127-001, Texas A&M University, Department of Economics.
- Peter Ganong & Damon Jones & Pascal Noel & Diana Farrell & Fiona Greig & Chris Wheat, 2020.
"Wealth, Race, and Consumption Smoothing of Typical Income Shocks,"
Working Papers
2020-49, Becker Friedman Institute for Research In Economics.
- Peter Ganong & Damon Jones & Pascal J. Noel & Fiona E. Greig & Diana Farrell & Chris Wheat, 2020. "Wealth, Race, and Consumption Smoothing of Typical Income Shocks," NBER Working Papers 27552, National Bureau of Economic Research, Inc.
- Hargaden, Enda Patrick, 2020. "Taxpayer responses in good times and bad," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 653-690.
- Olafsdottir, Katrin, 2020. "A deep recession came with deep wage cuts," Economics Letters, Elsevier, vol. 189(C).
- Tom Stark, 2014. "Real-time performance of GDPplus and alternative model-based measures of GDP: 2005—2014," Research Rap Special Report, Federal Reserve Bank of Philadelphia, issue Nov.
- Jan P.A.M. Jacobs & Samad Sarferaz & Simon van Norden & Jan-Egbert Sturm, 2013. "Modeling Multivariate Data Revisions," CIRANO Working Papers 2013s-44, CIRANO.
- Quach, Simon, 2020. "The Labor Market Effects of Expanding Overtime Coverage," MPRA Paper 100613, University Library of Munich, Germany.
- José Azar & Emiliano Huet-Vaughn & Ioana Marinescu & Bledi Taska & Till von Wachter, 2019.
"Minimum Wage Employment Effects and Labor Market Concentration,"
NBER Working Papers
26101, National Bureau of Economic Research, Inc.
- Azar, José & Huet-Vaughn, Emiliano & Marinescu, Ioana & Taska, Bledi & von Wachter, Till, 2019. "Minimum Wage Employment Effects and Labor Market Concentration," CEPR Discussion Papers 14239, C.E.P.R. Discussion Papers.
- Hershbein, Brad, 2018. "Discussion for JME special issue: APST paper," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 68-70.
- Erling Barth & James C. Davis & Richard B. Freeman & Kristina McElheran, 2020.
"Twisting the Demand Curve: Digitalization and the Older Workforce,"
Working Papers
20-37, Center for Economic Studies, U.S. Census Bureau.
- Erling Barth & James C. Davis & Richard B. Freeman & Kristina McElheran, 2020. "Twisting the Demand Curve: Digitalization and the Older Workforce," NBER Working Papers 28094, National Bureau of Economic Research, Inc.
- Grinis, Inna, 2017. "The STEM requirements of "non-STEM" jobs: evidence from UK online vacancy postings and implications for skills & knowledge shortages," LSE Research Online Documents on Economics 85123, London School of Economics and Political Science, LSE Library.
More about this item
Keywords
Big data; Economic measurement; Labor market; State-space models;All these keywords.
JEL classification:
- J2 - Labor and Demographic Economics - - Demand and Supply of Labor
- J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2019-11-25 (Big Data)
- NEP-ORE-2019-11-25 (Operations Research)
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:fip:fedgfe:2019-65. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/frbgvus.html .
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 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.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.