I am conducting a cross-section analysis of the effect of remittances on SSA countries, using GDP per capita as DV and lagged GDP per capita as independent variable with other independent variables; remittances, FDI, GCF, TOT, education. in the results, the lagged GDP overshadows the significant effects of other independent variables by scoring high significance and high coefficient. when I ignore it in the model, other control variables acquires significance. Any explanation on this?

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