ArticleScientific data2025
Non-Traditional Data for Macroeconomic Estimation Unemployment in Jordan as an Application.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.