Modeling of Education and Health Level on Poverty and Community Welfare Level of Banyumas Regency

Joko, Purwanto and Malim, Muhammad (2021) Modeling of Education and Health Level on Poverty and Community Welfare Level of Banyumas Regency. Book Chapter Pedagogical Innovations in Education. pp. 158-167.

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Abstract

Poverty is still a social phenomenon that always exists in every developing country, including Indonesia. Indonesia is a developing country that has poverty problems. Low productivity will have an impact on decreasing income and can make a person vulnerable to poverty. This research aims to produce an effective and efficient Modeling of Education and Health Levels of Poverty and Community Welfare in the Banyumas Regency. Knowing the usefulness of Modeling Education and Health Levels on Poverty Levels and Community Welfare in Banyumas Regency can be used by the Regional Government (PEMDA) of Banyumas Regency in reducing poverty levels and improving the welfare of Banyumas people. This research method used Panel Regression Data Analysis include the Chow test, Hausman test, and Classical Assumption Test. The findings reveal that the Chi-square crosssection Chow test probability is 0.0000, which is less than the 0.05 significance limit. The fixed effect model is the one that has been chosen. The Hausman test is necessary when the chosen model has a fixed effect. Because the probability value of a random cross-section is 0.0000, which is less than alpha 0.05, the Hausman test rejects Ho, and the Fixed Effect Model is the appropriate model to employ in this investigation. The probability value of J-B is 0.888299, according to the normalcy test. Because this value is more than 0.05, the data is regularly distributed. The Durbin-Watson value is 1.783211, based on the autocorrelation test findings. It may be inferred that there is no issue with autocorrelation. Based on the aforementioned test findings, the correlation between the independent variables is less than 0.8, indicating that the model is free of multicollinearity issues. According to the test findings, if the probability value is more than 0.05, there is no heteroscedasticity.

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