Inflation and Economic Growth in Kenya: An Empirical Examination

Purpose\n
\n\nThis paper examines the relationship between inflation and economic growth in Kenya from an analytical and empirical standpoint.\n
\n\nDesign/methodology/approach\n
\n\nThe paper applies the autoregressive distributed lag (ARDL) bounds testing approach and the multivariate Granger-causality test using time series data covering 1970-2019. Structural breaks in the time series were also conducted using the Perron (1997) (PPURoot) and Zivot-Andrews (1992) (ZAU Root) techniques. Incorporating structural breaks into time series increases statistical inference's overall validity.\n
\n\nFindings\n
\n\nInflation and economic growth in Kenya were found to have structural breaks in 1995 and 1991. These years are marked by Kenya's economic, financial, public sector and institutional reforms. The other findings of the study revealed that inflation has a statistically significant negative influence on long-term economic growth. The multivariate Granger-causality results showed a distinct short-run unidirectional causality from economic growth to inflation in Kenya.\n
\n\nPractical implications \n
\n\nIn order to mitigate the negative consequences of inflation and the coronavirus on the economy and welfare, the study recommends that Kenya's government should pursue prudent monetary, financial, and fiscal policies.

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