stdClass Object
(
    [id] => 14761
    [paper_index] => 202501-09-019672
    [title] => MODELLING COST OF LIVING IN KENYA
    [description] => 
    [author] => Nahabwe Patrick Kagambo John, Kagarura Willy Rwamparagi
    [googlescholar] => 
    [doi] => 
    [year] => 2025
    [month] => January
    [volume] => 12
    [issue] => 1
    [file] => fm/jpanel/upload/2025/January/202501-09-019672.pdf
    [abstract] => This study investigates trends in Kenya’s Consumer Price Index (CPI) as a measure of cost of living, utilizing historical data from 1970 to 2022 and applying an autoregressive integrated moving average (ARIMA) model. Time-series data sourced from the World Bank employs CPI (2010 = 100) as the dependent variable, with autoregressive (AR) and moving average (MA) components as independent variables. Parameter estimation, conducted using generalized least squares (GLS), identifies negative and statistically significant coefficients for AR(1) (-0.602924) and MA(2) (-0.748163), reflecting short-term fluctuations and mean-reverting tendencies. The estimated ARIMA (1, 2, 2) model is covariance stationary and invertible, confirming its reliability for forecasting CPI trends. Projections for 2023-2042 indicate gradual CPI stabilization, with minor fluctuations averaging 0.26%. The findings underscore the need for sustained inflation-targeting measures and sound monetary policies to enhance price stability, thereby mitigating cost-of-living pressures and promoting economic resilience.
    [keywords] => 
    [doj] => 2025-01-08
    [hit] => 
    [status] => 
    [award_status] => P
    [orderr] => 3
    [journal_id] => 9
    [googlesearch_link] => 
    [edit_on] => 2025-01-12 16:04:50
    [is_status] => 1
    [journalname] => EPRA International Journal of Socio-Economic and Environmental Outlook(SEEO)
    [short_code] => IJSA
    [eissn] => 2348-4101
    [pissn] => 
    [home_page_wrapper] => images/products_image/5.SEEO.png
)
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