STATISTICAL TECHNIQUES FOR EVALUATING THE IMPACT OF PUBLIC POLICY INTERVENTIONS ON ECONOMIC GROWTH IN DEVELOPING COUNTRIES

This study analyzes the impact of public policy on economic growth in developing countries,
focusing on sub-Saharan Africa, South Asia, and Latin America through econometric modeling.
Regression analysis of Nigeria, India, and Mexico reveals both similarities and differences. All
three nations show a strong correlation between population growth and GDP, with Mexico at
the forefront (β = 22,045.622), followed by India (β = 5,946.790) and Nigeria (β = 3,540.660).
The inflation-GDP relationship differs: Mexico has the weakest negative correlation (r = -0.731,
p < 0.001) and a significant regression coefficient (β = -6.889, p = 0.033), showing inflation
impedes growth. Nigeria has a moderate negative correlation (r = -0.361, p = 0.018), while
India’s is positive but not significant (β = 33.778, p = 0.103). Employment rates correlate weakly
with GDP; Mexico’s is the strongest (r = 0.363, p = 0.017), Nigeria’s weak (r = 0.171, p =
0.167), and India shows a significant negative relationship (β = -14.682, p = 0.032). Nigeria has
the lowest GDP ($268.73 billion) and highest inflation (18.28%), while India leads in GDP
($1,365.08 billion) and population growth (1.17% annually), and Mexico shows moderate GDP
($931.59 billion) and inflation (9.36%). In conclusion, population growth significantly influences
these nations’ economic dynamics.