Research Article
STRUCTURAL BREAKS IN CONSUMPTION OF TOBACCO IN KENYA
Author(s): Edwin Kipyego Kipchoge* and Betty Korirand Argwings Otieno
The linear relationship between time series variables is normally assumed to be stationary or simply the mean and variances do not change over time and the covariance of a variable and its lagged values are constant over time. In real situations there are some major events that can influence the fluctuations of such time series variables. Structural changes can identify whether the linear relationship between independent and dependent variable changes over some time t. The main purpose of this paper is to highlight some of the major structural breaks in tobacco consumption in Kenya for the period 1980 to 2016. The data used was extracted from Kenya National Bureau of Statistics (KNBS) and Government sta.. Read More»
DOI:
10.37532/2752-8081.21.5.30