Special Issue on Econometrics

Econometrics can be subdivided into two major categories: theoretical and applied. Econometrics uses tools such as frequency distributions, probability and probability distributions, statistical inference, simple and multiple regression analysis, simultaneous equations models and time series methods. The application of statistical and mathematical theories to economics for the purpose of testing hypotheses and forecasting future trends. Econometrics takes economic models and tests them through statistical trials. The results are then compared and contrasted against real-life examples. An example of a real-life application of econometrics would be to study the hypothesis that as a person's income increases, spending increases.

In this special issue, we intend to invite front-line researchers and authors to submit original researches and review articles on exploring econometrics. Potential topics include, but are not limited to:

• Theoretical econometrics and applied econometrics
• Cross-sectional data and time-series data
• Quantitative economics
• Spatial econometrics
• Econometric methods
• The role of econometrics in economic science

Authors should read over the journal’s Authors’ Guidelines carefully before submission. Prospective authors should submit an electronic copy of their complete manuscript through the journal’s Paper Submission System.

Please kindly notice that the “Special Issue” under your manuscript title is supposed to be specified and the research field “Special Issue - Econometrics” should be chosen during your submission.

According to the following timetable:

Guest Editor:

Dr. Zhengfeng Guo 

Vanderbilt University, USA

For further questions or inquiries

Please contact Editorial Assistant at

tel@scirp.org