PDF) Forecasting skyrocketing unemployment with big data

In the last few years the term “big data” has gained popularity in order to refer to the vast amount of digital data which information and communication technologies are making possible to gather, store, diffuse and share in unprecedented ways.

Centering Workers—How to Modernize Unemployment Insurance Technology

Assessing COVID-19 pandemic policies and behaviours and their economic and educational trade-offs across US states from Jan 1, 2020, to July 31, 2022: an observational analysis - The Lancet

Employment Projections Home Page : U.S. Bureau of Labor Statistics

Forecasting unemployment and employment: A system dynamics approach - ScienceDirect

Education: The Rising Cost of Not Going to College

The Importance of Addressing Long-Term Unemployment for Economic Recovery - Federal Reserve Bank of Atlanta

Unemployment in the United States - Wikipedia

Quarterly Forecast: Rapidly Rising Rates & Declining Demand Driving a Housing Market Slowdown - Freddie Mac

Work and worker health in the post-pandemic world: a public health perspective - The Lancet Public Health

Detecting the socio-economic drivers of confidence in government with eXplainable Artificial Intelligence

Projections overview and highlights, 2020–30 : Monthly Labor Review: U.S. Bureau of Labor Statistics

Economic, Housing and Mortgage Market Outlook – September 2023 - Freddie Mac

The Value of Real-Time Data in the COVID Crisis – IMF F&D

China Suspends Report on Youth Unemployment, Which Was at a Record High - The New York Times

Global inequalities in the double burden of malnutrition and associations with globalisation: a multilevel analysis of Demographic and Health Surveys from 55 low-income and middle-income countries, 1992–2018 - The Lancet Global Health