Labor Markets and Unemployment

Abstract

As science and technology advance by leaps and bounds, they are gradually penetrating into every aspect of people's lives. Then currently, science is making giant strides in artificial intelligence growth at an astounding rate. In view of this trend, it shows with the current maturity of artificial intelligence technology, more and more low labor is replaced by machines. Based on the trend of future development above, model can be analyzed the maximum unemployment rate of the current market, and predict the relatively low future unemployment rate to help more people choose a occupation more conveniently. This article mainly analyzes some industries with the most unemployment rate and the industry with the smallest future unemployment rate through some of the readings of unemployment literature and industry unemployment data. In terms of research methods, the article's analysis is based on the multivariable linear regression model, calculation formula for unemployment rate, market hypotheses, and through the specific career data of doctor, lawyer and technician in recent years. With the total tendency to select the occupational population as the dependant variable, the occupational tax rate in US, the labor participation rate, and the risk coefficient are used as an independent variable, and the multi-linear regression model analysis is performed through data quantitative verification to calculate the actual number of people. Afterward used the unemployment population as a dependent variable, and the actual labor population is used as an independent variable, and the actual unemployment rate is derived through an unemployment calculation formula.