A A Ghoto
Estimation and forecasting of the inflation, interest,literacy and unemployment rate of Pakistan using nonlinear regression models
backgroundobjectives analyze investigate relationships inflation rate interest rate literacy rate unemployment rate pakistan high level accuracymethodsstatistical analysis method nonlinear least squares adopted fit nonlinear regression models estimate present future trends inflation rate interest rate literacy rate unemployment rate pakistan based data year 2000 2019various nonlinear regression models tested changing degree number coefficientsfor trial goodness fit set 95 confidence levelthe best regression models selected basis goodness fit correlation present data logical trend future forecastsfindings proposed nonlinear regression models quite different conventional linear nonlinear polynomial regression modelsthe fitted forecasting graphs show realistic results used policymakers good accuracynoveltyapplications since periodic abrupt changes quantitative response variables like inflation rate interest rate literacy rate unemployment rate pakistan smoothly incorporated therefore government socioeconomic practitioners may use results future planning management resources depending upon factors