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Non-Traditional Data for Macroeconomic Estimation Unemployment in Jordan as an Application
Osama Abdelhay1, Taghreed Altamimi2
1Department of Data Science and Artificial Intelligence, King Hussain Faculty for Computer Sciences, Princess Sumaya University for Technology, Amman, Jordan. o.abdelhay@psut.edu.jo.
Abstract:
This dataset comprises quarterly unemployment rates in Jordan from 2010 to 2024, alongside Google Trends search interest data for 88 unemployment-related keywords in Arabic and English. The unemployment rates, sourced from the Jordanian Department of Statistics, provide official figures over 14 years. The Google Trends data reflects public search behaviour related to unemployment and job seeking in Jordan. Keywords were selected through consultations with experts from governmental agencies, NGOs, and private job portals to include terms relevant to local dialects and current job market trends. The search data was aggregated using Mean Aggregation, Exponentially Weighted Moving Average, and Seasonally Adjusted Weighted Average to align with the quarterly unemployment rates. By integrating official statistics with enriched search data, this dataset offers a valuable resource for researchers and policymakers exploring the relationship between economic indicators and online search behaviour. It supports economics, social sciences, and data science. The dataset can aid in developing predictive models, analysing economic sentiment, and informing policy decisions in Jordan and similar contexts.
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