International Journal of Computational Economics and Econometrics

Scope & Guideline

Bridging the gap between computational techniques and economic analysis.

Introduction

Immerse yourself in the scholarly insights of International Journal of Computational Economics and Econometrics with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1757-1170
PublisherINDERSCIENCE ENTERPRISES LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 2017 to 2024
AbbreviationINT J COMPUT ECON EC / Int. J. Comput. Econ. Econom.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressWORLD TRADE CENTER BLDG, 29 ROUTE DE PRE-BOIS, CASE POSTALE 856, CH-1215 GENEVA, SWITZERLAND

Aims and Scopes

The International Journal of Computational Economics and Econometrics serves as a platform for cutting-edge research at the intersection of economics and computational methodologies. It aims to provide insights into complex economic phenomena through innovative computational techniques and econometric models.
  1. Computational Economics:
    The journal focuses on applying computational methods to solve economic problems, allowing for the analysis of complex systems and behaviors that traditional methods may not adequately address.
  2. Econometric Modeling:
    A significant emphasis is placed on econometric techniques, including time series analysis, panel data methods, and structural equation modeling, to evaluate economic theories and real-world data.
  3. Interdisciplinary Approaches:
    The journal encourages interdisciplinary research that combines economics with fields such as machine learning, data science, and health economics, reflecting the diverse applications of computational methods.
  4. Policy Analysis and Implications:
    Research often explores the implications of economic policies, particularly in areas like fiscal and monetary policies, public health, and labor markets, providing valuable insights for policymakers.
  5. Empirical Studies:
    The journal publishes empirical studies that utilize advanced statistical methods to derive conclusions from economic data, emphasizing the importance of evidence-based research.
The International Journal of Computational Economics and Econometrics has seen several emerging themes gaining traction in its recent publications. These trends reflect the evolving landscape of economic research and the growing integration of advanced computational techniques.
  1. Machine Learning Applications:
    There is a significant increase in the application of machine learning techniques for economic forecasting and risk analysis, indicating a shift towards data-driven methodologies that enhance predictive accuracy.
  2. Health Economics:
    Recent publications have highlighted the intersection of health and economics, particularly in the context of public health crises such as COVID-19, showcasing the relevance of economic analysis in health policy.
  3. Agent-Based Modeling:
    The use of agent-based models to analyze macroeconomic phenomena is gaining popularity, reflecting a trend towards simulating complex interactions within economic systems.
  4. Dynamic General Equilibrium Models:
    Emerging themes include the use of dynamic computable general equilibrium models to analyze policy impacts, demonstrating a growing interest in comprehensive modeling of economic systems.
  5. Behavioral Economics:
    Research focusing on behavioral aspects of economic decision-making, including herding behavior in financial markets, is on the rise, highlighting the importance of psychological factors in economic analysis.

Declining or Waning

While the journal continues to evolve, certain themes have shown a decrease in prominence over recent years. This section identifies these waning scopes, highlighting their diminishing presence in the journal's publications.
  1. Traditional Economic Theories:
    There has been a noticeable decline in papers focusing solely on classical economic theories without computational enhancement, as the journal shifts towards more innovative and computationally driven approaches.
  2. Basic Statistical Techniques:
    Research employing rudimentary statistical methods has decreased, with a stronger preference for advanced econometric methods and machine learning techniques that provide deeper insights.
  3. Sector-Specific Studies:
    While sector-specific analyses were once prevalent, the journal's recent publications indicate a trend towards broader economic analyses and systemic approaches rather than isolated sector studies.
  4. Qualitative Research:
    There is a waning interest in purely qualitative research within the journal, as the focus has shifted more towards quantitative analyses that leverage computational techniques.
  5. Local Economic Studies:
    The journal seems to be moving away from localized economic studies, favoring global or comparative analyses that consider wider economic implications.

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