WendyOlsen/kenyachildlabour2022

Excessive and Hazardous Child Labour in Kenya: A two-level statistical analysis, By Wendy Olsen and Giuseppe Maio Affiliations: Wendy Olsen, University of Manchester. Giuseppe Maio, Impact Cubed & Trilateral Research, Journal article in Development in Practice, 2022. # kenyachildlabour2022 Excessive and Hazardous Child Labour in Kenya: A two-level statistical analysis, By Wendy Olsen and Giuseppe Maio Affiliations: Wendy Olsen, University of Manchester. Giuseppe Maio, Impact Cubed & Trilateral Research, Journal article in Development in Practice, 2022. Excessive and Hazardous Child Labour in Kenya: A two-level statistical analysis By Wendy Olsen and Giuseppe Maio Affiliations: Wendy Olsen, University of Manchester. Giuseppe Maio, Impact Cubed & Trilateral Research Biographical details: Wendy Olsen works as a Professor of Socio-Economics at the University of Manchester. She is head of its department of Social Statistics. Her research lies across development studies, sociology, development economics and applied statistics. Key dimensions include gender and development theory; institutional change; moral reasoning; and innovative statistical findings. Giuseppe Maio works as a data scientist at Impact Cubed. He interrogates data about sustainability from large-scale worldwide sources. Using these data, he develops forecasts of future trends. The data include both qualitative and quantitative information from public and private sources. He was previously employed by Trilateral Research. Acknowledgements: We are grateful to our employers for supporting this research. June 2021, submitted to journal Feb. 2022. Corresponding author email: wendy.olsen@manchester.ac.uk Co-author’s email Giuseppe.Maio@impact-cubed.com Abstract Child labour are common in certain regions of Kenya. Using 2015/6 Kenyan Integrated Household Survey, we tested for regional differences along with household variables. Carefully measuring children’s time on work activities, excessive time worked was calculated. Hazardousness of each sector was integrated. The GDP contribution located in the mining and quarrying industry is a push factor. Children living with a more-educated female carer are less likely to be “child labour”. Religion was statisti …