
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Modeling the Influence of Economic Indicators on Job Seeker Behavior in Recruitment Platforms Using Regression Analysis and Forecasting Techniques
Author(s) | Preetham Reddy Kaukuntla |
---|---|
Country | United States |
Abstract | The factors include features common to recruitment sites such as; unemployment rates, inflation level, and GDP rates of growth. It examines the relationship between economic cycles and employment search, running Ordinary Least Square regression analysis as well as decomposing the data and projecting the results. According to the evaluation of the historical data taken from the largest recruiting portals and key economic indicators, this paper proves the possibility of approximating job seeker activity based on changes in the economy. The findings show that fundamental macroeconomic factors influence the level of job search, the type of jobs preferred, and hiring patterns, helpful for job seekers and platform providers. |
Keywords | concepts like economic status, applicant behavior, advertising sources, regression approach, projections, employment rate, price rise. |
Field | Engineering |
Published In | Volume 5, Issue 4, July-August 2023 |
Published On | 2023-08-03 |
DOI | https://doi.org/10.36948/ijfmr.2023.v05i04.38182 |
Short DOI | https://doi.org/ |
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E-ISSN 2582-2160

CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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