International Symposium on Econometrics (ISE 2020)

Memo

International Symposium on Econometrics (ISE 2020) Date: July 24-26, 2020 Venue: Guilin, China (Grand Link Hotel)  Website: https://www.marchconf.org/conference/ISE2020/ Online Submission： https://www.marchconf.org/RegistrationSubmission/default.aspx?ConferenceID=1222 Email Submission: This email address is being protected from spambots. You need JavaScript enabled to view it. About ISE2020: International Symposium on Econometrics (ISE 2020) is to be held during July 24-26, 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.  Publication and Presentation: 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(This email address is being protected from spambots. You need JavaScript enabled to view it.). Index: CNKI and Google Scholar   Note: If you want to present your research results but do NOT wish to publish a paper, you may simply submit an Abstract to our Registration System. Attendance Methods: Package A: Regular Attendance (No Submission Required)        USD 400 (RMB 2400) Package B: Regular Attendance+Abstract+Presentation           USD 450(RMB 2700) Package C: Regular Attendance+Paper Publication+Presentation    USD 600(RMB 3600) Contact Us: Email: This email address is being protected from spambots. You need JavaScript enabled to view it.: +86 132 6470 2250QQ: 1349406763WeChat: 3025797047  Topics: Topics are included but are not limited to: EconometricsEconometrics: methods and applicationsEconometrics, operations research and statisticsEconometrics and statisticsMultidimensional data analysisFinancial engineeringOperational researchFinancial mathematics and insuranceBusiness informaticsFinance: financial crises, risk management, financial marketsApplied mathematics in economy, management, logisticsThe classical multiple linear regression modelLeast squaresFinite-sample properties of the least squares estimatorLarge-sample properties of the least squares and instrumentalVariables estimatorsInference and predictionFunctional form and structural changeSpecification analysis and model selectionNonlinear regression modelsNonspherical disturbancesHeteroscedasticitySerial correlationModels for panel dataSystems of regression equationsSimultaneous-equations modelsEstimation frameworks in econometricsMaximum likelihood estimationThe generalized method of momentsModels with lagged variablesTime-series modelsModels for discrete choiceLimited dependent variable and duration modelsProbability and distribution theoryLarge sample distribution theoryComputation and optimizationData sets used in applications Other Related Topics