The study aims to analyze the effect of disposable income , deposi interes ratet, and education on household expenditure in Indonesia. The analytical method used in this study is to use OLS (Ordinary Least Square) analysis. Tests using statistical tests include t test, F and R squared test and classic assumption test. Where all testing using program tools eviews 8.0. Estimation results show the relationship of independent variables of R2 = 0.9877, meaning that 98.77% of diposible income, deposit rates, and education has impact to household expenditure in Indonesia. The results of the data analysis show that disposible income has a positive impact and is significant at α = 5% of household expenditure in Indonesia. Deposit interest rate variables has negative and significant impact to household expenditure in Indonesia and education variables has negative and significant, The economic crisis has a positive and significant impact to household consumption expenditure in IndonesiaKeyword: Disposable Income, Deposit Interes rate,Household Expenditure,Education, Economic crisis
This study aims to determine and analyze the influence of (1) Level of Education, (2) Unemployment, and (3) Poverty against crime in Indonesia by using the panel regression equation model and using the Fixed Effect Model (FEM) approach. The estimation results show that (1) the level of education has a negative and not significant effect on criminality in Indonesia, (2) unemployment has a negative and significant effect on crime in Indonesia, (3) poverty has a positive and significant influence on crime in Indonesia.This type of research is descriptive and associative. Data type is secondary data. This study uses panel data, which uses 31 provinces in Indonesia using the Fixed Effect Model (FEM) approach.The results of this study indicate that: (1) The level of education has a negative and insignificant influence on crime in Indonesia, (2) Unemployment has a negative and significant effect on crime in Indonesia, (3) Poverty has a positive and significant influence on crime in Indonesia.
This study aims to determine and analyze the causal relationship between poverty, income inequality and education level in West Sumatra. This type of research is descriptive and associative research, where the data used is secondary data in the form of panel data from 2010 to 2017 with documentation data collection and literature study techniques obtained from related institutions and institutions. Data analysis used is the data used is descriptive analysis and inductive analysis. In inductive analysis there are several tests, namely: (1) Unit Root Test (2)Cointegration Test (3) Optimal Lag Determination (4) Granger Causality Test (5) PVAR Test. The results of this study indicate that (1) income inequality Poverty and income inequality have a causality relationship where the probability of poverty to income inequality = 0.0307 and the probability of income inequality against poverty = 0.0166 (2) There is a one-way relationship between poverty and education level where poverty affects the level of education with a probability = 0.0024 while the level of education does not affect poverty with probability = 0.2402 (3) income inequality and education level do not have a one-way or two-way relationship where income inequality does not affect the level of education with probability = 0, 2445 and the level of education also does not affect income inequality with a probability = 0.5248 in the study period. Based on the results of this study, the authors suggest that the government combine policies on income equity and poverty such as the application of progressive taxes and subsidies to basic needs, equitable distribution of education in districts / cities in regencies / cities in West Sumatra. in addition, it is also expected that an increase in the nine economic sectors so that all three issues such as poverty, income inequality and education levels can be overcome. Keyword: Poverty, Income Inequality, Education Level, PVAR
the phenomenon of labor in Indonesian is that the workforce in increasing but there are few opportunities for employment. This will cause unemployment and many unemployment will effect the economy. Study aims to determine the impact of population growth , wages, and education on labor supply in Indonesia. This research used panel data from 2013 to 2018 in 34 provinces in Indonesia and analysis used panel data regression with FEM method. The results of the study found that; 1) population growth hasn’t impact on the labor supply in Indonesia. (2) Wages hasn’t impact on labor supply in Indonesia. (3) education has an impact on the labor supply in Indonesia.
Penelitian ini bertujuan untuk mengetahui pengaruh jumlah penduduk dan upah terhadap penawaran tenaga kerja di Indonesia. Penelitian ini menggunakan data cross section tahun 2017 di 34provinsi di Indonesia. Analisis ini menggunakan metode Ordinary Least Square (OLS). Hasil penelitian diperoleh bahwa: (1) jumlah penduduk mempunyai pengaruh positif dan signifikan terhadap penawaran tenaga kerja di Indonesia. (2) upah mempunyai pengaruh negative dan tidak signifikan terhadap penawaran tenaga kerja di Indonesia. Secara bersama- sama jumlah penduduk dan upah mempunyai pengaruh yang signifikan terhadap penawaran tenaga kerja di Indonesia.
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