A new consensus-based unemployment indicator
Author
Abstract
Suggested Citation
DOI: 10.1080/13504851.2018.1497846
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Claveria, Oscar, 2019.
"Forecasting the unemployment rate using the degree of agreement in consumer unemployment expectations,"
Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 53(1), pages 1-3.
- Oscar Claveria, 2019. "Forecasting the unemployment rate using the degree of agreement in consumer unemployment expectations," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 53(1), pages 1-10, December.
- Blanchflower, David G. & Bryson, Alex, 2021.
"The Economics of Walking About and Predicting Unemployment,"
GLO Discussion Paper Series
922, Global Labor Organization (GLO).
- David G. Blanchflower & Alex Bryson, 2021. "The Economics of Walking About and Predicting Unemployment," NBER Working Papers 29172, National Bureau of Economic Research, Inc.
- David G. Blanchflower & Alex Bryson, 2021. "The Economics of Walking About and Predicting Unemployment," DoQSS Working Papers 21-24, Quantitative Social Science - UCL Social Research Institute, University College London.
- Oscar Claveria & Enric Monte & Salvador Torra, 2020.
"Spectral analysis of business and consumer survey data,"
IREA Working Papers
202006, University of Barcelona, Research Institute of Applied Economics, revised May 2020.
- Oscar Claveria & Enric Monte & Salvador Torra, 2020. "“Spectral analysis of business and consumer survey data”," AQR Working Papers 2012002, University of Barcelona, Regional Quantitative Analysis Group, revised May 2020.
- Oscar Claveria, 2020.
"“Measuring and assessing economic uncertainty”,"
AQR Working Papers
2012003, University of Barcelona, Regional Quantitative Analysis Group, revised Jul 2020.
- Oscar Claveria, 2020. "Measuring and assessing economic uncertainty," IREA Working Papers 202011, University of Barcelona, Research Institute of Applied Economics, revised Jul 2020.
- Martin Kenyeres & Jozef Kenyeres, 2023. "Distributed Average Consensus Algorithms in d-Regular Bipartite Graphs: Comparative Study," Future Internet, MDPI, vol. 15(5), pages 1-24, May.
- Petar Soric & Oscar Claveria, 2021.
""Employment uncertainty a year after the irruption of the covid-19 pandemic","
IREA Working Papers
202112, University of Barcelona, Research Institute of Applied Economics, revised May 2021.
- Petar Soric & Oscar Claveria, 2021. "“Employment uncertainty a year after the irruption of the covid-19 pandemic”," AQR Working Papers 202104, University of Barcelona, Regional Quantitative Analysis Group, revised May 2021.
- Oscar Claveria, 2020. "Business and consumer uncertainty in the face of the pandemic: A sector analysis in European countries," Papers 2012.02091, arXiv.org.
- Oscar Claveria, 2021. "On the Aggregation of Survey-Based Economic Uncertainty Indicators Between Different Agents and Across Variables," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(1), pages 1-26, April.
- Blanchflower, David G. & Bryson, Alex, 2023. "Labour Market Expectations and Unemployment in Europe," IZA Discussion Papers 15905, Institute of Labor Economics (IZA).
- Oscar Claveria, 2021. "Disagreement on expectations: firms versus consumers," SN Business & Economics, Springer, vol. 1(12), pages 1-23, December.
Corrections
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:taf:apeclt:v:26:y:2019:i:10:p:812-817. 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.
We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.