Jordan Unemployment Rates and Google Trends Data (2020-2024): Analyzing Economic Sentiment Through Search Behavior in Arabic and English

Published: 7 October 2024| Version 1 | DOI: 10.17632/sdvs4nbgym.1
Contributors:
Osama Abdelhay,

Description

This dataset combines official unemployment rates in Jordan from 2020 to mid-2024 with Google Trends data capturing search behaviour in Arabic and English. The search phrases were curated by experts to reflect terms associated with job searches, unemployment concerns, and expressions of economic frustration. This unique dataset offers a rich blend of traditional economic indicators and non-traditional data, such as search trends, providing a novel approach to understanding and predicting unemployment in an emergency context, particularly during and after the COVID-19 pandemic. By leveraging search trends as proxies for real-time public sentiment and behaviours, this dataset opens the door to more immediate economic forecasts, bridging the gap between releasing official unemployment data and real-time indicators. Such insights are precious during economic uncertainty or crisis periods, where swift policy responses are critical. Researchers and policymakers can use this dataset to explore correlations between public search behavior and unemployment rates, potentially allowing for earlier interventions based on predictive models incorporating traditional and non-traditional data.

Files

Steps to reproduce

1- Unemployment rates can be obtained directly from the Department of Statistics in Jordan 2- Google Trends phrases can be obtained from https://trends.google.com/trends/

Institutions

Princess Sumaya University for Technology, Alfaisal University

Categories

Machine Learning, Time Series, Economic Prediction Method

Licence