EconPapers    
Economics at your fingertips  
 

ARE UNIT ROOT TESTS USEFUL IN THE DEBATE OVER THE (NON)STATIONARITY OF HOURS WORKED?

Amelie Charles, Darné, Olivier and Fabien Tripier ()
Authors registered in the RePEc Author Service: Olivier Darné

Macroeconomic Dynamics, 2015, vol. 19, issue 1, 167-188

Abstract: The performance of unit root tests on simulated series is compared, using the business-cycle model of Chang et al. [Journal of Money, Credit and Banking 39(6), 1357–1373 (2007)] as a data-generating process. Overall, Monte Carlo simulations show that the efficient unit root tests of Ng and Perron (NP) [Econometrica 69(6), 1519–1554 (2001)] are more powerful than the standard unit root tests. These efficient tests are frequently able (i) to reject the unit-root hypothesis on simulated series, using the best specification of the business-cycle model found by Chang et al., in which hours worked are stationary with adjustment costs, and (ii) to reduce the gap between the theoretical impulse response functions and those estimated with a Structural VAR model. The results of Monte Carlo simulations show that the hump-shaped behavior of data can explain the divergence between unit root tests.

Date: 2015
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)

Related works:
Working Paper: Are unit root tests useful in the debate over the (non)stationarity of hours worked? (2015) Downloads
Working Paper: Are Unit Root Tests Useful in the Debate over the (Non) Stationarity of Hours Worked? (2011)
Working Paper: Are Unit Root Tests Useful in the Debate over the (Non)Stationarity of Hours Worked? (2010) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cup:macdyn:v:19:y:2015:i:01:p:167-188_00

Access Statistics for this article

More articles in Macroeconomic Dynamics from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Keith Waters ().

 
Page updated 2020-09-14
Handle: RePEc:cup:macdyn:v:19:y:2015:i:01:p:167-188_00