| dc.description.abstract | The Indonesian economy is a hot problem that has no end. The success of
economic growth can be seen from the successful realization of the development
programs that have been implemented. This research is used to determine the
modeling of economic growth rates in North Sumatra from 2018-2022. There are
three approaches that are often used in estimating panel regression models,
including the Common Effect Model (CEM), Fixed Effect Model (FEM), and
Random Effect Model (REM). Based on the tests conducted, the model that
corresponds to the rate of economic growth in North Sumatra is the Fixed Effect
Model (FEM), with R2 = 0.40268 or 40.3% while the remaining 59,7% is
influenced by variables outside the model, so that the model obtained from the
estimation results are: Yit = 277.7493 – 0.000104PDRB – 3.513340IPM –
0.350169Education + 0.226014Poverty Level. From the results of the analysis it
was found that only the HDI and education variables had a significant effect on
the 2018-2022 Economic Growth Rate in 33 Regencies/Cities in the province of
North Sumatra, namely GRDP, HDI, Education, and Poverty Level. | en_US |
