Quantitative Economics

Scope & Guideline

Advancing economic insights through quantitative rigor.

Introduction

Delve into the academic richness of Quantitative Economics with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN1759-7323
PublisherWILEY
Support Open AccessYes
CountryUnited States
TypeJournal
Convergefrom 2010 to 2024
AbbreviationQUANT ECON / Quant. Econ.
Frequency3 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address111 RIVER ST, HOBOKEN 07030-5774, NJ

Aims and Scopes

Quantitative Economics is a journal dedicated to advancing economic research through quantitative methods and empirical analysis. The journal focuses on providing insights into various economic phenomena, employing diverse methodologies to understand complex economic relationships.
  1. Empirical Economic Analysis:
    The journal emphasizes empirical studies that utilize quantitative data to explore economic theories and models, enhancing the understanding of economic dynamics.
  2. Labor Market Dynamics:
    Research related to labor market trends, employment patterns, and the impact of economic policies on labor is a core focus area, particularly in emerging economies.
  3. Trade and Development Economics:
    The journal covers topics on trade liberalization, its effects on economies, and the interrelationship between trade and economic development.
  4. Monetary Policy and Financial Economics:
    Papers exploring the implications of monetary policy on various economic indicators, including inflation and growth, are frequently published.
  5. Environmental and Energy Economics:
    Research on the intersection of economic activities, energy consumption, and environmental impacts is increasingly significant, addressing global challenges.
  6. Innovative Methodologies in Economics:
    The use of advanced quantitative methods, including machine learning and econometric modeling, is a hallmark of the journal, fostering innovative approaches to economic research.
Recent publications in Quantitative Economics indicate a shift towards addressing contemporary economic challenges and employing innovative methodologies. The following themes have gained traction, reflecting current global economic trends and research interests.
  1. Impact of COVID-19 on Labor Markets:
    There is a growing emphasis on understanding the effects of the COVID-19 pandemic on labor markets, with studies examining employment dynamics and recovery strategies.
  2. Use of Machine Learning in Economic Forecasting:
    The application of machine learning techniques for economic modeling and forecasting is increasingly prominent, showcasing the journal's commitment to integrating advanced methodologies.
  3. Sustainability and Economic Growth:
    Research focusing on sustainable economic practices, including the relationship between energy consumption and environmental impacts, is gaining importance as global awareness of climate issues rises.
  4. Inequality and Economic Development:
    Papers exploring the nexus between economic growth and inequality, particularly in developing contexts, are becoming more frequent, reflecting growing concerns about inclusive growth.
  5. Digital Economy and Technological Impact:
    The implications of digital transformation on economic structures, labor markets, and productivity are emerging as significant themes, indicating a shift towards understanding the digital economy's role.

Declining or Waning

While Quantitative Economics continues to thrive in various research domains, certain themes have shown a decline in focus or frequency of publication over recent years. This could reflect shifting interests in the field or a saturation of specific topics.
  1. Traditional Economic Theories:
    There has been a noticeable decrease in papers strictly adhering to classical economic theories without empirical backing, as the journal shifts towards more data-driven approaches.
  2. Basic Statistical Methods:
    The reliance on elementary statistical methods appears to be waning, with a preference for more sophisticated analytical techniques and models.
  3. Static Economic Models:
    The journal seems to be moving away from static models that do not account for dynamic economic processes, favoring research that captures changing economic conditions.
  4. Geographic-specific Studies:
    Research focusing solely on narrowly defined geographic areas, particularly outside of emerging economies, seems to be less prevalent, possibly due to a broader interest in global economic interconnections.

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