International Conference on Econometrics and Quantitative Methods

ICEAQM

6th Apr – 7th Apr 2027 Helsinki, Finland

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Registration Summary

Conference ICEAQM

Date 6th Apr – 7th Apr 2027

Location Helsinki, Finland

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Advancements in Econometric Techniques +

This track focuses on the latest developments in econometric methodologies and their applications in economic research. Researchers are encouraged to present innovative approaches to estimation and hypothesis testing.

SDG 8 SDG 9 SDG 17

02 Time Series Analysis and Forecasting +

This session will explore cutting-edge techniques in time series analysis, emphasizing their relevance in economic forecasting. Contributions that demonstrate practical applications and theoretical advancements are particularly welcome.

SDG 8 SDG 9 SDG 11

03 Panel Data Econometrics +

This track will delve into the complexities of panel data analysis, highlighting both methodological advancements and empirical applications. Papers that address issues of unobserved heterogeneity and dynamic modeling are encouraged.

SDG 8 SDG 9 SDG 16

04 Machine Learning Applications in Economics +

This session aims to bridge the gap between machine learning and traditional econometric methods. Researchers are invited to showcase how machine learning techniques can enhance economic modeling and data analysis.

SDG 9 SDG 8 SDG 17

05 Causal Inference and Structural Models +

This track will examine the role of causal inference in econometrics, focusing on structural models and their implications for economic theory. Contributions that provide empirical evidence or methodological insights are highly encouraged.

SDG 8 SDG 16 SDG 10

06 Risk Analysis and Economic Policy Evaluation +

This session will investigate the intersection of risk analysis and economic policy, emphasizing quantitative methods for evaluating policy impacts. Papers that utilize econometric techniques to assess risk and policy effectiveness are welcome.

SDG 1 SDG 8 SDG 16

07 Predictive Analytics in Economic Research +

This track focuses on the application of predictive analytics in economic research, exploring both theoretical frameworks and empirical studies. Contributions that demonstrate the utility of predictive models in economic decision-making are encouraged.

SDG 8 SDG 9 SDG 11

08 Estimation Techniques in Applied Econometrics +

This session will highlight various estimation techniques used in applied econometrics, discussing their advantages and limitations. Researchers are invited to present case studies that illustrate the practical application of these methods.

SDG 8 SDG 9 SDG 17

09 Statistical Analysis in Economic Modeling +

This track will explore the role of statistical analysis in the development and validation of economic models. Papers that integrate statistical rigor with economic theory are particularly encouraged.

SDG 8 SDG 9 SDG 11

10 Innovations in Economic Data Analysis +

This session will focus on innovative approaches to economic data analysis, emphasizing the importance of data quality and methodology. Contributions that address challenges in data handling and interpretation are welcome.

SDG 9 SDG 8 SDG 17

11 Emerging Trends in Quantitative Economics +

This track will examine emerging trends and future directions in quantitative economics, including the integration of new technologies and methodologies. Researchers are encouraged to discuss the implications of these trends for economic research and policy.

SDG 8 SDG 9 SDG 11