On analysing supply and demand in labor markets: Framework, model and system

The labor market refers to the market between job seekers and employers. As much of job seeking and talent hiring activities are now performed online, a large amount of job posting and application data have been collected and can be re-purposed for labor market analysis. In the labor market, both su...

全面介紹

Saved in:
書目詳細資料
Main Authors: SUGIARTO, Hendrik Santoso, LIM, Ee-peng, SIM, Ngak Leng
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2019
主題:
在線閱讀:https://ink.library.smu.edu.sg/sis_research/4531
https://ink.library.smu.edu.sg/context/sis_research/article/5534/viewcontent/7._On_Analysing_Supply_and_Demand_in_Labor_Markets_FrameworkModelandSystem_DSAA2019_.pdf
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
機構: Singapore Management University
語言: English
實物特徵
總結:The labor market refers to the market between job seekers and employers. As much of job seeking and talent hiring activities are now performed online, a large amount of job posting and application data have been collected and can be re-purposed for labor market analysis. In the labor market, both supply and demand are the key factors in determining an appropriate salary for both job applicants and employers in the market. However, it is challenging to discover the supply and demand for any labor market. In this paper, we propose a novel framework to built a labor market model using a large amount of job post and applicant data. For each labor market, the supply and demand of the labor market are constructed by using offer salaries of job posts and the response of applicants. The equilibrium salary and the equilibrium job quantity are calculated by considering the supply and demand. This labor market modeling framework is then applied to a large job repository dataset containing job post and applicant data of Singapore, a developed economy in Southeast Asia. Several issues are discussed thoroughly in the paper including developing and evaluate salary prediction models to predict missing offer salaries and estimate reserved salaries. Moreover, we propose a way to empirically evaluate of equilibrium salary of the proposed model. The constructed labor market models are then used to explain the job seeker and employer specific challenges in various market segments. We also report gender and age biases that exist in labor markets. Finally, we present a wage dashboard system that yields interesting salary insights using the model.