Method for quantifying trade resistance based on maximum expectation algorithm and multilateral probability model

A technology of maximum expectation algorithm and probability model, applied in computing, complex mathematical operations, instruments, etc., can solve the problem that scholars are difficult to reach consensus, reduce the credibility and scientificity of empirical research, and the lack of consistency and scientificity of subjective selection variables. and other problems, to achieve a good effect of explanation

Pending Publication Date: 2020-02-28
BEIJING NORMAL UNIVERSITY +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This kind of finding and adding independent variables is a common method of existing models, which can indeed improve the explanatory ability of the model when analyzing local problems, but there are some unavoidable shortcomings, and it is impossible to conduct a global analysis of world trade relations
For example, the selection of these independent variables is subjective, and it is difficult to achieve consensus among different scholars; and it is impossible to predict how many factors affect bilateral trade volume, which is difficult to exhaustively
Therefore, the lack of consistency and scientific validity of subjective selection variables is also the limitation of the field of recent trade research, and the current method reduces the credibility and scientific validity of empirical research.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for quantifying trade resistance based on maximum expectation algorithm and multilateral probability model
  • Method for quantifying trade resistance based on maximum expectation algorithm and multilateral probability model
  • Method for quantifying trade resistance based on maximum expectation algorithm and multilateral probability model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0020] refer to figure 1 , The specific implementation steps of the present invention are as follows.

[0021] Step 1. Preliminary calculation of trade resistance based on multilateral probability model

[0022] 1-1) Based on the idea of ​​the multilateral probability model, the construction of trade flow is proportional to the GDP,

[0023] A simple model that is inversely proportional to trade resistance:

[0024]

[0025] 1-2) According to the following formula, bring in trade flow data and national GDP data to perform least squares (OLS) regression to obtain trade resistance

[0026] ln Flow i,j =A+αln(GDP i ·GDP j )-lnr i,j + u i,j (2)

[0027] Among them, Flow ij is the flow between countries i and j, GDP i is the GDP of country i, r ij is the trade resistance, A is the intercept of the regression equation, u ij is the residual. ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for quantifying trade resistance based on a maximum expectation algorithm and a multilateral probability model. The relationship between countries is revealed from trade flow data. On the basis, the probability that a country has a close trade distance partner in the world is calculated according to an expectation maximization algorithm and serves as a trade friendliness index of the country. According to the method, a large amount of high-dimensional national economic body quantity and bilateral trade stream data can be compressed and projected, and finally anindex capable of measuring the trade opening degree of different countries in the world or in a certain economic body range is given. The biggest innovation of the method lies in that the trade-friendly index is systematically defined and calculated, and the index has important practical significance for researching the international situation and trade relationship. In addition, the method provided by the invention has a wide application prospect in quantitative analysis and policy suggestions of stream data such as immigration, scientific citation and the like.

Description

technical field [0001] The present invention belongs to socioeconomic research and data analysis, and aims to realize the quantification of trade resistance and migration resistance existing in international and domestic trade and population migration, refer to it to better display the reality, and assist in the formulation of relevant policies. The present invention technically involves combining expectation-maximization algorithms with multilateral probability models. Background technique [0002] As the process of globalization gradually deepens, the scale of international trade and population migration is also increasing. Whether it is domestic trade or international trade, in theory, this kind of circulation can bring benefits to economic entities, such as the circulation of resources, the creation of labor jobs, and the promotion of economic growth. But in reality, the role of international trade is controversial. Some scholars believe that international trade has he...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/04G06Q10/06G06Q40/04G06F17/18
CPCG06F17/18G06Q10/04G06Q10/06315G06Q40/04
Inventor 黄思羽李小萌陈清华王友广
Owner BEIJING NORMAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products