BIG DATA MONITORING IN LABOR MARKETS A RESEARCH ON GOOGLE TRENDS DATA

Abstract

Emphasis is placed on the importance of using big data applications in monitoring labor markets. Big data can make it possible for enterprises to obtain different information about labor demand. Job advertisements on the internet can be used to investigate issues such as quality requirements and gender discrimination. In addition, additional resources are emerging for traditional data sources when unemployment is monitored. Especially in the recent period, based on Google search data, there are a lot of researches that investigate unemployment.
A search has been made to determine the impact of Google search data in estimating unemployment in our country. Unemployment rates for 15 and over age group and 15 to 24 age group and 4 Google search terms were examined in the study. ARIMA models were used to estimate the unemployment rate. According to findings, it is seen that actual and estimated unemployment values are close to each other. In short, it appears that Google Trends data may contribute to the prediction of unemployment