Testing of Parameter's Instability in a Balanced Panel: An Application to Real Effective Exchange Rate for SAARC Countries
Jitendra Kumar () and
Sumit Kumar Sharma
Journal of Economics and Econometrics, 2018, vol. 61, issue 2, 18-46
Present paper considers structural break in panel AR(1) model which allows instability in mean, variance and autoregressive coefficient. This model is extension of univariate model proposed by Meligkotsiduo et al. (2004) and review of existing panel data time series model considering break studied by Levin et al. (2002), Pesaran (2004), Bai (2010), Liu et al. (2011), Wachter and Tzavalis (2012). Paper dealt the identification of structural break by comparing the posterior probability of all possible models like break on all three parameters, only two parameters, one parameter and there is no break. A simulation study is carried out to validate the derived theorems. An Empirical analysis on Real Exchange Rate of India and its neighboring countries (SAARC countries including China) are also carried out. The present study is correctly identifying the common break on 1991 which happened due to second gulf war and international debt crisis.
Keywords: Panel autoregressive model; Structural break; Prior and Posterior probability. (search for similar items in EconPapers)
JEL-codes: C11 C12 C23 (search for similar items in EconPapers)
References: Add references at CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
Working Paper: Testing of Parameter's Instability in a Balanced Panel: An Application to Real Effective Exchange Rate for SAARC Countries (2017)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eei:journl:v:61:y:2018:i:2:p:18-46
Access Statistics for this article
More articles in Journal of Economics and Econometrics from Economics and Econometrics Society Contact information at EDIRC.
Bibliographic data for series maintained by Julia van Hove ().