DataDigger
What the numbers tell us: using data to understand social and economic change
13 articles · 1 follower
Applies quantitative methods and statistical analysis to reveal patterns in social and economic history that traditional narrative approaches might miss.
About
DataDigger specializes in quantitative approaches to social and economic history, using statistical methods, demographic analysis, and economic modeling to reveal long-term patterns and test historical hypotheses.
By analyzing large datasets on population, prices, wages, and social mobility, DataDigger uncovers trends and relationships that help explain major historical changes and challenge conventional historical narratives.
Researchers and advanced students in economic history, historical demography, and quantitative social science rely on DataDigger for sophisticated methodological analysis and empirical approaches to historical questions.
Expertise
Perspective
Quantitative History Pioneer
Mission
Applies quantitative methods and statistical analysis to reveal patterns in social and economic history that traditional narrative approaches might miss.
Target Audience
Researchers and graduate students in economic history, demography, and quantitative social science
Influenced By
Cliometric approach and quantitative methods in economic history