INTERNATIONAL JOURNAL OF SOCIAL SCIENCES AND MANAGEMENT RESEARCH (IJSSMR )

E-ISSN 2545-5303
P-ISSN 2695-2203
VOL. 3 NO. 4 2017


Testing for Structural Breaks in the Nigerian Exchange Rate using Univariate time Series Analysis

John Okey Onoh (Ph.D), Mbanasor, Christian Okechukwu (Ph.D) and Duruechi Anthony .H


Abstract


The research was conducted on time series data with the objective of trying to find out if there are structural breaks in the Ordinary Exchange Rate (OER) in Nigeria. But more specifically, the researchers applied various methods in testing the structural breaks such as the F Statistic in comparing statistical models fitted to the data set to find out if the model fits the population. The robustness of this test was further validated with Quant Andrew and Bai Perron test. And unit root tests were employed to test the stationarity of values using Bartlett kernel and Kwiatkowski- Phillips-Schmidt-Shin. With evidence of stationarity an equation was introduced to capture seasonality given that the data is times series. Further correlogram tests was used to test if the error term is stationary and the results indicate that the level of Autocorrelation and the Partial Autocorrelation were very insignificance. A major finding was that in using the ARIMA model it was evident that AR is stationary and MA is invertible. However, the MA has roots close to 1, implying that there may be evidence of over differencing of the series. In conclusion, the identified break dates of 1992Q2, 1995Q3 and 2005Q3 coincides with a period of persistent excess liquidity exacerbated by the monetization of excess crude receipts and the distribution of enhanced statutory allocation to the three tiers of government. The effect of the identified structural break was accommodated in our modeling approach to ensure that the estimated parameters are unbiased. The preliminary analysis shows that the exchange rate was more robust than other rates in explaining developments in the foreign exchange market. Policy recommendations include that policy makers give feasible proposals on diversification away from oil. Other measures include a review on regulatory, fiscal and monetary policy to reduce the impact of inflation and to increase global competitiveness of exports so as to attain the adequate level of e


keywords:

Structural breaks, Nigerian exchange rate, multivariate, time series


References:


Akinlo A.E (2006). The Stability of Money Demand in Nigeria: An Autoregressive Distributed
Lag Approach. Journal of Policy Modeling. 28: 445-452
Andrews, D (July 1993). "Tests for Parameter Instability and Structural Change with Unknown

Change Point". Econometrica. 61 (4): 821–856. doi:10.2307/2951764. Retrieved 22
August 2014.
Andrews, D (January 2003). "Tests for Parameter Instability and Structural Change with
Unknown Change Point: A Corrigendum" (PDF). Econometrica. 71 (1): 395
397. doi:10.1111/1468-0262.00405

Bai, Jushan; Perron, Pierre (2003). "Computation and Analysis of Multiple Structural Change
Models". Journal of Applied Econometrics. 18 (1): 1–22. doi:10.1002/jae.659

Basseville, M.; I.V. Nikiforov (1993). Detection of Abrupt Changes: Theory and Application.
Prentice Hall.

Chukwu. J.O., C,C Agu and F.E Onah (2010). Cointegration and Structural Breaks in Nigeria
Long-run Money Demand Function. International Research Journal of Finance and
Economics. Issue 28: 48-56

Cook, Stephen (2006). Testing for cointegration in the Presence of Mis-specificatied Structural
Change, Statistics and Probability Letters. 76: 1380-1384

Fisher, A (1939) Production: Primary, Secondary and Tertiary, Economic Record, June

Gregory, A. and Hansen, B. (1996). “Residual-based Tests for Cointegration in Models with
Regime Shifts”. Journal of Econometrics 10:321-335.

Gregory, Allan; Hansen, Bruce (1996). "Tests for Cointegration in Models with Regime and
Trend Shifts". Oxford Bulletin of Economics and Statistics. 58 (3): 555
560. doi:10.1111/j.1468-0084.

Gujarati, Damodar (2007). Basic Econometrics. New Dehli: Tata McGraw-Hill. Pp. 278-284.
ISBN 0-07-066005-0

Hacker, R. Scott; Hatemi-J, Abdulnasser (2006). "Tests for Causality between Integrated
Variables Using Asymptotic and Bootstrap Distributions: Theory and Application".

Khorshed Chowdhury (2011), Dynamics, Structural Breaks and the Determinants of the Real
Exchange Rate of Australia, Faculty of Business – Economics Working Papers,
University of Wollongong, Working Paper 11-11, 2011, 36,
http://ro.uow.edu.au/commwkpapers/239, Australia.

Kleiber, Christian; Zeileis, Achim (2008). Applied Econometrics with R. New York: Springer.
pp. 169–176. ISBN 978-0-387-77316-2.

Leon, P. (1967) Structural Change and Growth in Capitalism, Johns Hopkins, Baltimore

Nachega, Jean Claude (2001) A Cointegration Analysis of Broad Money Demand in Cameroon
(March 2001). IMF Working Paper, pp. 1-39,. Available at SSRN:
http://ssrn.com/abstact=879377

Perron, P. (1997). Further Evidence on Breaking Trend Functions in Macroeconomic Variables.
Journal of Econometrics. 80: 375-385

Pesaran, M. H.; Shin, Y.; Smith, R. J. (2001). "Bounds testing approaches to the analysis of level relationships". Journal of Applied Econometrics. 16 (3): 289–326. doi:10.1002/jae.616.

Rao, B.B. and S. Kumar (2007). Structural Break, Demand for Money and Monetary Policy in
Fiji. Pacific Economic Bulletin. 22(2): 59-62

Singh, P. and M.K. Pandey (2009). Structural Break, Stability and Demand for Money in India.
ASRC Working Paper 2009/07

Sani I. Doguwa, Olorunsola E. Olowofeso, Stephen O.U. Uyaebo, Ibrahim Adamu and Abiodun
S. Bada (2014) “Structural Breaks, Cointegration and Demand for Money in Nigeria”,
CBN Journal of Applied Statistics, Vol. 5 No. 1(June, 2014), p. 15-33

Teriba, O. (1974), The Demand for Money in the Nigerian Economy: Some Methodological
Issues and Further Evidence, Nigerian Journal of Economic and Social Studies, 16(1):
153-164.

Vincent Dropsy (1996) Real Exchange Rates and Structural Breaks, Applied Economics, 1996,
28, 209-219, Department of Economics,California State University, Fullerton, CA 92634,
USA.


DOWNLOAD PDF

Back