Examine the Reliability of Econometrics Software: An Empirical Comparison of Time Series Modelling

Researchers must understand that naively relying on the reliability of statistical software packages may result in suboptimal, biased, or erroneous results, which affects applied economic theory and conclusions policy recommendations drawn from it. To create confidence a result, several should be to same estimation problem. This study examines results three (EViews, R, Stata) analysis time-series econometric data. The data presents determinants macroeconomic growth Sri Lanka 1978 2020 has been used. focuses testing for stationarity, cointegration, significant relationships among variables. Augmented Dickey-Fuller Phillips Perron tests were employed this test while Johansen cointegration was utilized cointegration. employs vector error correction model assess short-run long-term dynamics variables an attempt determine relationship between them. Finally, Granger Causality is order examine linear causation concerned revealed produced by dataset lag vary significantly. implies time series econometrics are sensitive used researchers providing different implications even dataset. present highlights necessity further investigate impact scenarios.