Non-linear adjustments to intranational PPP
Kai-Yin Woo,
Shu-Kam Lee and
Alan Chan ()
Journal of Macroeconomics, 2014, vol. 40, issue C, 360-371
Abstract:
We study the intranational purchasing power parity (PPP) between 17 pairs of Canadian cities for the period 1984–2010, using multivariate tests of threshold cointegration in a threshold vector error correction model. Our results confirm the existence of cointegration with threshold symmetric and asymmetric adjustment processes toward PPP equilibrium. We also estimate the unconditional half-lives for non-linear PPP deviations to measure PPP persistence. We find that the speed of non-linear mean reversion may be faster than previously thought when allowing non-linear adjustments. In addition, we measure the absorption of shocks and suggest that different types of shocks are absorbed at different rates by different variables in the system. The evidence reveals that there are complex non-linearities in the price data and these justify the use of non-linear methods to study adjustments to intranational PPP.
Keywords: Multivariate threshold cointegration; Non-linear impulse responses; Mean bias; Unconditional half-life; Absorption of shocks; Canada (search for similar items in EconPapers)
JEL-codes: C15 C32 F15 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0164070414000251
Full text for ScienceDirect subscribers only
Related works:
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:eee:jmacro:v:40:y:2014:i:c:p:360-371
DOI: 10.1016/j.jmacro.2014.01.013
Access Statistics for this article
Journal of Macroeconomics is currently edited by Douglas McMillin and Theodore Palivos
More articles in Journal of Macroeconomics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().