Cite Score and Journal Rank of International Journal of Computational Economics and Econometrics

About:

The International Journal of Computational Economics and Econometrics is a peer-reviewed journal dedicated to the application of computational methods and econometric techniques in the study of economic systems. The journal focuses on innovative research that integrates computational approaches with econometrics to analyze economic phenomena, develop models, and provide insights into economic policy and decision-making. It aims to bridge the gap between computational techniques and economic theory, offering a platform for researchers to present their work on a wide range of topics within this interdisciplinary field.

Objective
The primary objective of the International Journal of Computational Economics and Econometrics is to advance the field of computational economics and econometrics by publishing high-quality research that explores the application of computational methods to economic problems. The journal seeks to promote the development of new models, algorithms, and techniques that enhance the understanding of economic processes and improve the accuracy of econometric analysis. It also aims to provide a forum for discussing the implications of computational advancements for economic theory and policy.

Interdisciplinary Approach
The journal adopts an interdisciplinary approach by combining insights from economics, computer science, mathematics, and statistics. It encourages research that applies computational techniques to solve complex economic problems, such as dynamic optimization, simulation, and big data analysis. By integrating methods from various disciplines, the journal aims to address the multifaceted nature of economic systems and contribute to the development of more robust and comprehensive economic models.

Impact and Significance
The International Journal of Computational Economics and Econometrics is recognized for its contribution to the advancement of computational and econometric techniques in economics. The journals impact is reflected in its role as a leading publication for high-quality research in this niche field. Articles published in the journal are valuable resources for researchers, policymakers, and practitioners who are interested in the intersection of computational methods and economic analysis. The journals focus on cutting-edge research ensures that it remains relevant and influential in shaping the future of computational economics and econometrics.

Journal Home:  Journal Homepage

Editor-in-Chief:  Dr. Giovanni Cerulli

scope: The International Journal of Computational Economics and Econometrics is a scholarly publication dedicated to the intersection of computational techniques and economic theory, with a strong focus on econometric methods. The journal aims to advance the understanding and application of computational tools in addressing complex economic and econometric problems.

Computational Economics:

Economic Modeling: Research on the development and application of computational models to simulate and analyze economic systems, including agent-based models, dynamic stochastic general equilibrium models (DSGE), and computational general equilibrium models (CGE).

Computational Methods in Finance: Studies on the use of computational tools in financial analysis, including risk management, option pricing, portfolio optimization, and financial forecasting.

Game Theory and Computation: Exploration of the use of computational methods to solve game-theoretic models, including algorithmic game theory and applications in economics and finance.

Agent-Based Computational Economics (ACE): Research on the use of agent-based models to simulate economic systems and study the interactions of individual agents within complex environments.

Network Economics: Studies on the application of computational techniques to analyze economic networks, including trade networks, financial networks, and social networks.

Computational Macroeconomics: Exploration of the use of computational tools in macroeconomic analysis, including policy simulation, economic growth modeling, and macroeconomic forecasting.

Econometrics:

Econometric Theory and Methods: Research on the development and application of econometric methods, including time series analysis, panel data analysis, and nonparametric econometrics.

Computational Econometrics: Studies on the use of computational techniques to solve econometric models, including Monte Carlo simulations, maximum likelihood estimation, and Bayesian econometrics.

High-Dimensional Econometrics: Research on econometric methods for analyzing high-dimensional data, including sparse modeling, machine learning techniques, and big data applications in econometrics.

Microeconometrics: Exploration of econometric methods applied to micro-level data, including individual and household data, experimental data, and cross-sectional analysis.

Financial Econometrics: Studies on the application of econometric methods to financial data, including volatility modeling, market microstructure analysis, and empirical asset pricing.

Applied Econometrics: Research on the practical application of econometric methods to real-world economic data, including policy evaluation, impact assessment, and economic forecasting.

Emerging Trends:

Machine Learning and Artificial Intelligence in Economics: Research on the integration of machine learning and AI techniques in economic analysis, including predictive modeling, classification, and clustering in econometrics.

Big Data Analytics in Economics: Studies on the use of big data analytics to extract insights from large-scale economic datasets, including data mining, natural language processing, and data visualization.

Computational Policy Analysis: Exploration of the use of computational tools to simulate and evaluate the impact of economic policies, including fiscal policy, monetary policy, and trade policy.

Economic Forecasting: Research on the development and application of computational methods for economic forecasting, including macroeconomic and financial market predictions.

Print ISSN:  1757-1170

Electronic ISSN:  1757-1189

Abstracting and Indexing:  Scopus

Imapct Factor 2023:  0.4

Subject Area and Category:  Computer Science ,Computer Science Applications Economics, Econometrics and Finance,Economics and Econometrics

Publication Frequency:  

H Index:  8

Best Quartile:

Q1:  

Q2:  

Q3:  

Q4:  Computer Science Applications

Cite Score:  0.6

SNIP:  0.208

Journal Rank(SJR):  0.18

Latest Articles:   Latest Articles in International Journal of Computational Economics and Econometrics

Guidelines for Authors: International Journal of Computational Economics and Econometrics Author Guidelines

Paper Submissions: Paper Submissions in International Journal of Computational Economics and Econometrics

Publisher:  Inderscience Publishers

Country:  United Kingdom