Journal of Applied Econometric
Scope of the Journal The journal welcomes original research papers, methodological studies, and policy-oriented analyses in all areas of applied econometrics, including but not limited to: Estimation and Inference Studies focusing on parameter estimation, hypothesis testing, statistical inference, efficiency, bias, consistency, and related econometric properties. Time Series and Panel Data Analysis Research involving time series modeling, panel data methods, cointegration, error correction models, unit root testing, structural breaks, and forecasting applications. Policy Evaluation and Causal Inference Empirical analyses evaluating economic policies or interventions using econometric designs such as difference-in-differences, regression discontinuity, instrumental variables, matching, synthetic control, and related causal inference techniques. Applied Econometrics in Specialized Fields Applications in financial econometrics, labor economics, health economics, education, industrial organization, international trade, macroeconomics, microeconomics, development economics, public policy, fiscal and monetary economics, and environmental economics. Methodological Innovation Studies proposing new or modified econometric methods, including nonparametric, semiparametric, Bayesian, machine learning, and structural modeling approaches with practical relevance. Data Transparency and Replication Papers promoting transparency by providing datasets, replication codes, or methodological appendices that facilitate reproducibility and validation of empirical results. Review and Survey Articles Comprehensive reviews or surveys of econometric methodologies, empirical applications, or thematic areas that synthesize existing literature and highlight emerging research trends.
Articles
10 Documents
<![CDATA[Modelling the Effect of Digital Financial Inclusion on Income Inequality in Developing Countries ]]>
<![CDATA[Savandha, Septien Dwi]]>
<![CDATA[ Journal of Applied Econometric Vol. 1 No. 1 (2025): Journal of Applied Econometric ]]>
Publisher : <![CDATA[Sekolah Tinggi Agama Islam Kuningan ]]>
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DOI: 10.59784/journaljoae.v1i1.1
<![CDATA[Income inequality remains an urgent issue in developing countries, which can hinder economic growth and social stability. In the last decade, digital financial inclusion has grown rapidly as a potential solution to narrow this gap by opening up access to financial services for previously unreachable communities. This study aims to analyze the effect of digital financial inclusion on income inequality in developing countries, focusing on the potential of financial technology in narrowing economic gaps. Using econometric methods with panel data from several developing countries for the period 2015 to 2023, this model measures the impact of access to digital financial services on the distribution of people's income. The data used included variables related to digital payment adoption, mobile financial service usage, and access to digital credit, which were analyzed using the dynamic panel regression method. The results show that increasing digital financial inclusion has a significant negative correlation with income inequality. This indicates that access to digital financial services can encourage income equity by providing a wider means of economic inclusion. These findings have important implications for policymakers in designing digital financial strategies to support more inclusive economic stability]]>
<![CDATA[Econometric Analysis of Inflation Dynamics in Digital Payment Ecosystems in Emerging Markets ]]>
<![CDATA[Syafi’i, Akhmad]]>
<![CDATA[ Journal of Applied Econometric Vol. 1 No. 1 (2025): Journal of Applied Econometric ]]>
Publisher : <![CDATA[Sekolah Tinggi Agama Islam Kuningan ]]>
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DOI: 10.59784/journaljoae.v1i1.2
<![CDATA[Inflation in emerging markets is becoming a serious challenge in the face of rapid digital transformation, especially with the increasing use of digital payments changing consumption patterns and financial transactions. Within this ecosystem, digital payment services such as mobile banking and e-wallets open up wider economic access, but they also raise concerns about their impact on inflation stability, particularly in countries with macroeconomic vulnerabilities. This study aims to analyze the influence of the digital payment ecosystem on inflation dynamics in emerging markets, using dynamic panel econometric analysis with data samples from 20 developing countries in the period 2015–2023. Key variables include digital payment penetration rates, annual inflation, as well as control indicators such as GDP growth, unemployment rates, and interest rates. The results show that the adoption of digital payments has a significant impact on inflation dynamics, where the increased use of digital payments tends to accelerate the inflation response to changes in demand and prices. In addition, in countries with immature financial systems, the high penetration of digital payments amplifies inflationary volatility, demonstrating the need for adaptive monetary supervision. These findings provide insight for policymakers on the importance of balancing digital financial innovation with monetary policy to maintain economic stability]]>
<![CDATA[The Role of Digital Transformation in Labor Market Changes: An Econometric Analysis of the Impact of Automation on the Manufacturing Sector ]]>
<![CDATA[Santika, Rani]]>;
<![CDATA[Farizki, Rafi]]>
<![CDATA[ Journal of Applied Econometric Vol. 1 No. 1 (2025): Journal of Applied Econometric ]]>
Publisher : <![CDATA[Sekolah Tinggi Agama Islam Kuningan ]]>
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DOI: 10.59784/journaljoae.v1i1.3
<![CDATA[Digital transformation is fundamentally changing the landscape of the global labor market, especially in the manufacturing sector that is increasingly adopting automation technology. Developing countries, including Indonesia, face significant challenges in responding to shifting skills needs due to these technological developments. This study aims to analyze in depth the impact of automation on labor market dynamics in the manufacturing sector, focusing on changing patterns of skills demand and their implications for labor productivity and resilience. Using a sophisticated econometric approach, this study utilizes panel data from the manufacturing industry in Indonesia over the past ten years. The analysis was conducted using fixed-effects and multivariate regression methods to assess the relationship between the adoption rate of automation technology and key variables of the labor market, such as changes in skill composition, wage levels, and demand for skilled versus unskilled labor. The results of the analysis show that there is a significant impact of automation in reducing the demand for non-skilled labor, while specialized skills, especially in the field of technology and maintenance, are experiencing an increase in demand. This research provides important insights for the formulation of policies that support the upskilling of the workforce in the face of the digital era, and shows that the sustainability of the manufacturing sector is highly dependent on the adaptation and development of technology-based skills.]]>
<![CDATA[Estimating the Impact of Remote Work Policies on Productivity and Improving Welfare in Developing Countries: A Case Study of Indonesia ]]>
<![CDATA[Fatimah, Ade Fitria]]>
<![CDATA[ Journal of Applied Econometric Vol. 1 No. 1 (2025): Journal of Applied Econometric ]]>
Publisher : <![CDATA[Sekolah Tinggi Agama Islam Kuningan ]]>
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DOI: 10.59784/journaljoae.v1i1.4
<![CDATA[The global COVID-19 pandemic has accelerated the adoption of remote work policies in various countries, including developing countries such as Indonesia. This policy has a significant impact on labor productivity patterns and worker welfare, especially in sectors that can adapt to digital technology. However, the long-term impact of remote work on productivity and well-being in developing countries is still a debate that requires empirical evidence. This study aims to estimate the impact of remote work policies on labor productivity and welfare improvement in Indonesia. This study uses econometric methods with panel data analysis from the national labor force survey and relevant secondary data, incorporating a fixed-effects model to control for unobserved variables that may affect worker productivity and welfare. Data was collected from several key economic sectors during the period before and after the widespread adoption of remote work. The results of the study show that remote work policies have a significant positive impact on productivity in the information and communication technology sector, while the traditional sector shows mixed results. The improvement in worker welfare was recorded mainly in the aspect of work-life balance, as well as the reduction of travel time and costs. These findings highlight the importance of policies that support digital infrastructure and skills development to optimize the benefits of remote work in Indonesia.]]>
<![CDATA[Econometrics of Climate Change: The Impact of Emission Reduction Policies on Economic Growth in Southeast Asia ]]>
<![CDATA[Sugihartini, Pegi]]>
<![CDATA[ Journal of Applied Econometric Vol. 1 No. 1 (2025): Journal of Applied Econometric ]]>
Publisher : <![CDATA[Sekolah Tinggi Agama Islam Kuningan ]]>
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DOI: 10.59784/journaljoae.v1i1.5
<![CDATA[Climate change has become a serious threat to economic stability, especially in the Southeast Asian region, which is vulnerable to negative impacts due to industrial activities and resource exploitation. Carbon emission reduction policies, implemented through various regulations and incentives, are expected to help reduce these impacts. However, there are concerns that this policy could hamper economic growth in the region. This study aims to explore the impact of emission reduction policies on economic growth in Southeast Asia through qualitative methods. Using a case study approach and thematic analysis, this study examines insights from policymakers, environmental experts, and industry representatives in a number of Southeast Asian countries. Data were obtained through in-depth interviews and analysis of relevant environmental policy documents. The results of the study show that there is a significant variation in the acceptance and impact of emission reduction policies on economic growth in various countries, which is influenced by the economic dependence on the high-emission industrial sector and the readiness of each country's green infrastructure. These findings provide guidance for policymakers to develop balanced emission reduction policies, prioritizing environmental sustainability while supporting economic growth]]>
<![CDATA[Analysis of the Influence of Digitalization on MSME Productivity in Southeast Asia: An Econometric Data Panel TApproach ]]>
<![CDATA[Lestari, Ayu]]>;
<![CDATA[Anggraeni, Riska]]>
<![CDATA[ Journal of Applied Econometric Vol. 1 No. 2 (2025): Journal of Applied Econometric ]]>
Publisher : <![CDATA[Sekolah Tinggi Agama Islam Kuningan ]]>
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DOI: 10.59784/journaljoae.v1i2.20
<![CDATA[This study aims to analyze the impact of digitalization on the productivity of Micro, Small, and Medium Enterprises (MSMEs) in Southeast Asia, with a focus on three countries: Indonesia, Thailand, and Vietnam. Using a qualitative approach, data were collected through interviews with MSME owners and managers, questionnaires distributed to employees, and direct observation at MSME locations. The study's results show that digitalization, through the use of e-commerce platforms, digital payment systems, and technology based inventory management, significantly contributes to improving operational efficiency and market access for MSMEs. However, the main challenges faced are low digital literacy and limited infrastructure, particularly in rural areas, which hinder MSMEs' ability to leverage digital technology fully. In countries with better digital infrastructure, such as Thailand, the positive impact of digitalization is more pronounced. This research suggests the need to enhance digital literacy training and improve infrastructure to support the adoption of technology by MSMEs. These findings offer valuable insights for developing MSME policies in Southeast Asia that can enhance competitiveness in the global market.]]>
<![CDATA[Econometric Analysis of the Impact of Energy Subsidy Policies on Household Consumption Patterns in Indonesia ]]>
<![CDATA[Putri, Fitri Ayu Triana]]>
<![CDATA[ Journal of Applied Econometric Vol. 1 No. 2 (2025): Journal of Applied Econometric ]]>
Publisher : <![CDATA[Sekolah Tinggi Agama Islam Kuningan ]]>
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DOI: 10.59784/journaljoae.v1i2.23
<![CDATA[This study aims to analyze the impact of energy subsidy policies on household consumption patterns in Indonesia. Energy subsidies, which are provided to ease the economic burden on households, have a significant influence on energy consumption, especially in increasing household energy use. This study employs a qualitative method, incorporating in-depth interviews, questionnaires, and observations of households that receive energy subsidies. The results show that households that receive subsidies tend to consume more energy, albeit at a more affordable cost. The untargeted distribution of subsidies results in energy waste, as some wealthy households continue to receive subsidies. Although subsidies provide social benefits, their impact on energy consumption behavior shows the need for educational programs on energy efficiency and improved subsidy distribution mechanisms. The study also found that energy subsidy policies should be balanced with more sustainable policies, such as the use of renewable energy and incentives for energy efficiency. The practical implication of this study is the importance of evaluating energy subsidy policies to be more targeted and supported by educational programs that can increase public awareness of efficient energy use.]]>
<![CDATA[Evaluating the Efficiency of Microeconomic Empowerment Programs through Econometric Matching Approaches ]]>
<![CDATA[Yuningrat, Nova]]>
<![CDATA[ Journal of Applied Econometric Vol. 1 No. 2 (2025): Journal of Applied Econometric ]]>
Publisher : <![CDATA[Sekolah Tinggi Agama Islam Kuningan ]]>
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DOI: 10.59784/journaljoae.v1i2.24
<![CDATA[This study aims to evaluate the effectiveness of microeconomic empowerment programs using an econometric matching approach, with a focus on increasing participants' income and welfare. Microeconomic empowerment programs in Indonesia have become the primary strategy for overcoming poverty and enhancing the quality of life for the community, particularly in the microbusiness sector. This study employed a qualitative research design, incorporating interviews, questionnaires, and observations at two research locations in Bogor Regency and Bantul Regency. The study's results indicate that this program has a positive impact on participants with more established businesses, resulting in an average income increase of approximately 30%. However, participants who are just starting a business experience difficulties in making optimal use of training and capital assistance. The evaluation of this program also revealed that the training materials need to be adjusted to the type of business run by the participants, as well as the need for post-program support to ensure business sustainability. The use of econometric matching is effective in reducing selectivity bias and providing more accurate estimates of program impact. This research offers recommendations for program adjustments that are more closely aligned with the needs of participants, as well as the importance of post program mentoring in strengthening the longterm impact.]]>
<![CDATA[Application of Econometrics Methods to Analyze the Impact of Climate Change on the Agricultural Sector in Developing Countries ]]>
<![CDATA[Zirzis, Moch]]>
<![CDATA[ Journal of Applied Econometric Vol. 1 No. 2 (2025): Journal of Applied Econometric ]]>
Publisher : <![CDATA[Sekolah Tinggi Agama Islam Kuningan ]]>
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DOI: 10.59784/journaljoae.v1i2.25
<![CDATA[This study aims to analyze the impact of climate change on the Indonesian agricultural sector using econometric methods. Given the importance of the agricultural sector to the Indonesian economy, climate change, which affects rainfall and temperature patterns, has a significant impact on agricultural yields. The study was conducted in two provinces, West Java and South Sulawesi, each of which has different agricultural characteristics. The data used in this study included the results of in-depth interviews with farmers and policymakers, questionnaires distributed to farmers, and direct observations of agricultural practices in the field. The results show that most farmers feel the effects of climate change, especially in the uncertainty of seasons and declining crop yields. Although the government has implemented several adaptation policies, gaps still exist in their implementation. Farmers believe that existing policies are insufficient to help them cope with climate change. Therefore, this study recommends increasing farmers' access to climate adaptation technologies and more inclusive policies by involving farmers in the policy planning process that is more responsive to their needs.]]>
<![CDATA[Econometric Spatial Modeling to Analyze Interregional Development Inequality in Indonesia ]]>
<![CDATA[Annisa, Annisa]]>
<![CDATA[ Journal of Applied Econometric Vol. 1 No. 2 (2025): Journal of Applied Econometric ]]>
Publisher : <![CDATA[Sekolah Tinggi Agama Islam Kuningan ]]>
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DOI: 10.59784/journaljoae.v1i2.26
<![CDATA[This study aims to analyze the development inequality between regions in Indonesia using a qualitative approach and econometric spatial modeling. Development inequality between the western and eastern regions of Indonesia, particularly in Java, Sumatra, and Papua, remains a significant issue that hinders equitable development. Based on interviews with local government officials, economic institutions, and communities, as well as data analysis from questionnaires and field observations, it was found that limited infrastructure, centralized development policies, and dependence on the natural resources sector are the primary factors contributing to inequality. Additionally, uneven investment allocation exacerbates regional inequality. The study also applied econometric spatial modeling to identify patterns of inequality and the impact of inter-regional interactions, suggesting that inequality in one region can affect inequality in another. These findings suggest that development policies should be more decentralized and tailored to local needs to achieve more effective and equitable development. The results of this study provide policymakers with recommendations for designing a more inclusive and equitable development strategy throughout Indonesia.]]>
