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Forecasting Macroeconomic Variables and their Effect on Poverty Assel, Muhammad Ridhwan; Hanoeboen, Bin Raudha Arif; Laitupa, Abdul Aziz; Saptenno, Fibryano
Journal of Economics, Business, and Accountancy Ventura Vol. 25 No. 3 (2022): December 2022 - March 2023
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v25i3.3451

Abstract

Forecasting macroeconomic variables is crucial to measure dynamic changes during uncertain economic conditions. This study examines and analyzes the appropriate and accurate forecasting model to predict macroeconomic variables in Maluku Province. The main variables used are economic growth, unemployment, inflation, and poverty. The modeling used in this study were Bayesian Vector Autoregressions Model and the Univariate Benchmark Model. The results of this study indicate that the two models have different specifications and forecasting directions. The value of the Univariate Benchmark model’s forecast error size is relatively smaller than that of the Bayesian Vector Autoregressions Model. The results of forecasting macroeconomic variables in Maluku Province have a relatively good level of accuracy and are close to the actual value of the sample period. The Error Correction Model test results show that only the Error Correction Term variable significantly affects the poverty level in the short term. Meanwhile, in the long term, the unemployment rate has a significant effect, and the model used is proven valid. The forecasting results from the model show that the Maluku provincial government must maintain the stability of macroeconomic variables, especially the inflation rate and unemploymentrate, because they tend to increase in the coming year. It can have an impact on reducing people’s purchasing power.
Analysis of the Elasticity of Rice Demand for Poor Households in Sirimau District, Ambon City in 2024 Sapthu, Andre; Louhenapessy, Fredy H.; Saptenno, Fibryano; Louhenapessy, Desry; Duwila, Ummi; Jani
ARRUS Journal of Social Sciences and Humanities Vol. 4 No. 3 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/soshum2684

Abstract

This study aims to analyze the elasticity of rice demand among poor households in Sirimau District, Ambon City. The main focus of this study is the influence of household income, number of family members, the price of Bulog rice, and the price of premium rice on rice consumption among poor households. The analytical method used involves linear regression to identify the relationships between these variables. The results of the study indicate that household income, number of family members, and the price of Bulog rice have a significant positive effect on rice consumption among poor households. Conversely, the price of premium rice does not show a significant effect on rice consumption in this household group. These findings suggest that Bulog rice pricing policies and increasing the income of poor households can be important factors in boosting their rice consumption. This research provides valuable insights for the formulation of more effective food policies to support the welfare of poor households in Sirimau District, Ambon City.
Determinants of Curly Chili Demand in Ambon City Louhenapessy, Desry J.; Duwila, Ummi; Sapthu, Andre; Tuasuun, Selvenco; Jani; Louhenapessy, Fredy H.; Saptenno, Fibryano
ARRUS Journal of Social Sciences and Humanities Vol. 4 No. 3 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/soshum2687

Abstract

This study aims to analyze the influence of curly chili prices, household income, and the number of household dependents on the demand for curly chilies in Ambon City using the multiple linear regression method. Primary data was collected through a survey of 300 households in Ambon City, with the dependent variable being the monthly purchase quantity of curly chilies, while the independent variables include the price of curly chilies, household income, and the number of dependents. The analysis results show that the price of curly chilies has a significant negative effect on demand, with an increase in price leading to a decrease in purchase quantity. Additionally, household income and the number of dependents also have a significant impact, where an increase in income and the number of dependents boosts demand. These results indicate the existence of complex interactions between these factors in shaping the demand for curly chilies in Ambon City, which need to be considered in policy planning and marketing strategies to maintain market stability and meet consumer needs.