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The purpose of this study is to determine the effect of poverty, unemployment and investment on economic growth. Where this study uses time series data with the time period 2001-2020. The analytical method uses multiple linear regression with the Eviews program. The poor population variable has a negative and significant effect on poverty with a t-value of -3.225849 and Prob. of 0.0053 0.05. The investment variable has a positive and significant effect on poverty with a t-value of 7.932790 and Prob. of 0.0000 <0.05. In the final stage of the statistical test, it is known that the R2 squared value is 0.954978. This shows that the poor, unemployment, and investment are able to explain GRDP by 95%. And the remaining 5% is influenced by other variables not examined in this study.
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Rinaldi et al. (Mon,) studied this question.
synapsesocial.com/papers/68e587eeb6db643587523f3e — DOI: https://doi.org/10.61730/ojes.v3i2.113
Muammar Rinaldi
State University of Medan
Dwi Verasuna Manik
Nova Khairunisa Putri
Outline Journal of Economic Studies.
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