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International Symposium on Econometrics (ISE 2020)

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When :  2020-03-13

Where :  Guilin, China

Submission Deadline :  2020-02-13

Categories :   Business and Economics ,  Business and Economics ,  Humanities, Art and Social Studies ,  Business Management

https://www.marchconf.org/conference/ise2020/

International Symposium on Econometrics (ISE 2020) will be held during March 13-15, 2020 in Guilin, China. This Conference will cover issues on Econometrics, Statistics, Financial engineering, Operational research and other Related Topics. It dedicates to creating a stage for exchanging the latest research results and sharing the advanced research methods in related fields.

Email: workshop3@126.com

Tel: +86 - 15527426990

QQ: 1349406763

WeChat: 3025797047

Publication: All the accepted papers will be published by a peer-reviewed open access journal that can ensure the widest dissemination of your published work, For more information, please contact us(workshop3@126.com).

Call For Papers
Econometrics
Econometrics: methods and applications
Econometrics, operations research and statistics
Econometrics and statistics
Multidimensional data analysis
Financial engineering
Operational research
Financial mathematics and insurance
Business informatics
Finance: financial crises, risk management, financial markets
Applied mathematics in economy, management, logistics
The classical multiple linear regression model
Least squares
Finite-sample properties of the least squares estimator
Large-sample properties of the least squares and instrumental
Variables estimators
Inference and prediction
Functional form and structural change
Specification analysis and model selection
Nonlinear regression models
Nonspherical disturbances
Heteroscedasticity
Serial correlation
Models for panel data
Systems of regression equations
Simultaneous-equations models
Estimation frameworks in econometrics
Maximum likelihood estimation
The generalized method of moments
Models with lagged variables
Time-series models
Models for discrete choice
Limited dependent variable and duration models
Probability and distribution theory
Large sample distribution theory
Computation and optimization
Data sets used in applications

User Name : Engii
Posted 27-11-2019 on 11:58:18 AEDT


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