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The Effectiveness of ECM - MIDAS Based on Principal Component Analysis (PCA) in Predicting GDP in Indonesia Fajar Fithra Ramadhan; Dea Malaika; Ni Kadek Dwi Utami; Fitri Kartiasih
Jurnal Gaussian Vol 14, No 2 (2025): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.14.2.411-422

Abstract

GDP is closely related to monetary policy, because changes in GDP often affect decisions taken by the central bank in formulating policies to maintain economic stability. This study aims to predict the value of Gross Domestic Product (GDP) by developing a more accurate and efficient model. The variables analyzed include primary money, net domestic assets, net foreign position, and foreign exchange reserves as independent variables, and gross domestic product (GDP) as the dependent variable. The method used combines the Error Correction Model (ECM) into the Mixed Data Sampling (MIDAS) and Principal Component Analysis (PCA) models, this approach provides a more comprehensive analytical framework to capture complex interactions between variables with different frequencies, while taking into account long-term and short-term dynamics that influence each other. The results of the study indicate that the combination approach of PCA and MIDAS with the Almon distribution is more effective in capturing data patterns than other approaches that only use PCA with the average or median of economic indicators. The ECM-MIDAS-PCA model with the Almon weight function showed the best results, marked by an Adjusted R-Square value of 22.33% and low prediction error. The Error Correction Term (ECT) coefficient of -0.1579 indicates a correction towards long-term equilibrium of 15.79% per quarter, so that the process towards equilibrium can be achieved in 6.33 quarters.
Global Economic Dynamics and Its Impact on Indonesian Trade: Multi-Regional Input-Output Analysis Approach Annisa Muthi Zajidah; Dyah Widyastuti; Immanuel Nicholas Fransepta Samosir; Patrick Noel Simamora; Fitri Kartiasih
Cendekia Niaga Vol. 9 No. 1 (2025): Jurnal Cendekia Niaga : Trade and Development Studies
Publisher : Pusat Pengembangan Kompetensi Aparatur Perdagangan

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Abstract

This study investigates the impact of economic dynamics on international trade using a multiregional analysis of Input-Output table. Multiplier effect analysis is used to study how a sector affects both the domestic economy and the economies of partner countries. Employing forward linkage and backward linkage values to analyze the linkages, determine which sectors are superior in international trade operations. The impact of partner countries' economies on Indonesia's economy is then simulated. The results show that Indonesia tends to rely on imports and exports connected to manufacturing. The manufacturing, chemical and chemical goods, and paper and printing industries are the main drivers of foreign trade. Furthermore, when Indonesia goes through a recession, the ASEAN nations typically have a big influence on the national economy. So economic diversification, domestic consumption stimulus, and building economic resilience are needed.
The Impact of Mining and Metal Industry Investment on The Economy of Southeast Sulawesi Province: Input-Output Analysis Hasna Arifah Nur Fatih; Ikhlasul A’mal; Rafael Agintha Tarigan; Yuniar Yudhi Tirana; Fitri Kartiasih
Ekonomi dan Bisnis Vol 13 No 1 (2026): EKONOMI DAN BISNIS
Publisher : Fakultas Ekonomi dan Bisnis, Universitas Pembangunan Nasional Veteran Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35590/jeb.v13i1.12377

Abstract

Purpose: This research aims to provide an overview of the input-output structure in the metal ore mining and basic metal industries, determine the leading sectors and their role in other sectors, and assess the impact of investment in these sectors on the economy of Southeast Sulawesi. Design/methodology/approach: This study uses data from the 2016 Input-Output Table of Southeast Sulawesi Province, which was updated to 2023 using the RAS method. The analysis used in this study is multiplier analysis, linkage analysis, and impact analysis. Findings: The results show differences in output structure between the metal ore mining sector and the basic metals industry. From an input perspective, both are efficient because primary input is greater than intermediate input. Metal ore mining is also one of the leading sectors in Southeast Sulawesi. Simulating investment in both sectors simultaneously yields a larger output increase compared to investing in only one sector. Research limitations/implications: The research is limited to data from the Input-Output Table for Southeast Sulawesi Province, and therefore has not yet been able to capture the relationship between the input-output structure and other regions. Further studies are recommended using the Interregional Input-Output (IRIO) Table, which allows for a more comprehensive analysis of interregional linkages. Practical implications: The government needs to utilize the output of the basic metal industry as raw materials for other sectors to stimulate economic growth. In addition, it is also necessary to prioritize downstreaming of metals thru the construction of smelters to increase added value while maintaining environmental sustainability. Originality/value: This research offers a novel contribution by integrating the mining sector and its downstream industries, namely the base metal industry, into the provincial-level analysis to provide a more representative picture of mineral resource potential in Southeast Sulawesi.