Unemployment Persistence And The Nairu: A Bayesian Approach
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Durbin, James & Koopman, Siem Jan, 2012.
"Time Series Analysis by State Space Methods,"
Oxford University Press,
edition 2, number 9780199641178.
- Tom Doan, "undated". "SEASONALDLM: RATS procedure to create the matrices for the seasonal component of a DLM," Statistical Software Components RTS00251, Boston College Department of Economics.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Bozani, Vasiliki & Drydakis, Nick, 2011. "Studying the NAIRU and its Implications," IZA Discussion Papers 6079, Institute for the Study of Labor (IZA).
- Florian Kajuth, 2016.
"NAIRU Estimates for Germany: New Evidence on the Inflation–Unemployment Tradeoff,"
German Economic Review,
Verein für Socialpolitik, vol. 17(1), pages 104-125, February.
- Kajuth, Florian, 2010. "NAIRU estimates for Germany: New evidence on the inflation-unemployment trade-off," Discussion Paper Series 1: Economic Studies 2010,19, Deutsche Bundesbank.
- Vosseler, Alexander, 2016. "Bayesian model selection for unit root testing with multiple structural breaks," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 616-630.
- Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2013.
"Unemployment Rate Hysteresis and the Great Recession: Exploring the Metropolitan Evidence,"
2013-19, University of Connecticut, Department of Economics.
- Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2014. "Unemployment Rate Hysteresis and the Great Recession: Exploring the Metropolitan Evidence," Working Papers 1403, University of Nevada, Las Vegas , Department of Economics.
- Giorgio Canarella & Rangan Gupta & Stephen M. Miller & Stephen K. Pollard, 2017. "Unemployment Rate Hysteresis and the Great Recession: Exploring the Metropolitan Evidence," Working Papers 201740, University of Pretoria, Department of Economics.
- Tino Berger, 2011. "Estimating Europe’s natural rates," Empirical Economics, Springer, vol. 40(2), pages 521-536, April.
- Kajuth, Florian, 2012. "Identifying the Phillips curve through shifts in volatility," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 975-991.
- Gehrke, Britta & Weber, Enzo, 2017. "Identifying asymmetric effects of labor market reforms," IAB Discussion Paper 201723, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- Berger, Tino & Kempa, Bernd, 2011. "Bayesian estimation of the output gap for a small open economy: The case of Canada," Economics Letters, Elsevier, vol. 112(1), pages 107-112, July.
More about this item
StatisticsAccess and download statistics
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:bla:scotjp:v:55:y:2008:i:3:p:281-299. 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: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/sesssea.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 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.