Global Trends in Numeracy 1820-1949 and its Implications for Long-Run Growth

By Dorothee Crayen, Jorg Baten. 2010

201 citations recorded by the source corpus.

Subfields: Demography, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/bf6a7548f6cb2745aa0aa05af4af4a0ea8cb36cd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Demography

1. D. Juif
2. R. Hippe
3. C. Diebolt
4. Jorg Baten

In Economics and Econometrics

1. D. Juif
2. R. Hippe
3. C. Diebolt
4. Jorg Baten

Citations in the corpus

• A story of large landowners and math skills: Inequality and human capital formation in long-run development, 1820–2000 (2014, methodology): “Tuebingen; Philippines: Southeast Asia estimates of (Crayen and Baten) and Baten, J, and Johan Fourie “Numeracy in the 18th Century Indian Ocean Region,” ERSA Working Paper No. 270, complemented with evidence by Kathrin Grether (2012), Langfristige Humankapitalentwicklung auf den Philippinen im inte”
• The long-run impact of human capital on innovation and economic development in the regions of Europe (2018, methodology): “Numeracy is measured by the age heaping method which has been used in an increasing number of recent publications (A’Hearn, Crayen, and Baten 2009; Manzel and Baten 2009; Crayen and Baten 2010; Hippe 2012b; Hippe and Baten 2012; Baten and Hippe 2017; Diebolt, Hippe, and Jaoul-Grammare 2017).”