Unraveling the effect of gender dimensions and wood fuel usage on household food security: evidence from Ghana
Many macroeconomic variables undergo business cycle episodes (fluctuations), which makes the variables change dramatically. Hence, the causality between these variables could be hidden by the presence of structural breaks, regime change, reforms, or crises in general. Therefore, fitting a linear model may not capture the entire characteristics of the data. To this end, the study employs the Markov-switching Vector Autoregressive (MS-VAR) model, which allows for time-dependent regime shift to reexamine the energy-growth nexus in Ghana from 1971-2020.