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combining-cmie-itus-data

This repository holds code and figures as well as appendix material for papers combining-cmie-itus-data. The papers look at time-use of women and men in India during a period 2019-2020 when a tertile (4-month interval) survey, CMIE was used to augment the Indian Time-Use Survey of 2019. Both used large national samples, which had a multi-stage clustered and stratified selection procedure. The CMIE however did not have lists of village or town residents except insofar as they created such lists. Therefore, their sampling method was different at the final stage within the final sampled geographic units.

covidworkimpactindia2020

Labour, Gender and Work in North India During the COVID Period

excessworkhoursindia

Excessive Working Hours of Child Labourers Using Indian Time-Use Data of 2019, by Jihye Kim (University of Manchester) and Wendy Olsen, keywords Time-use, India, employment, gender, child labour, harmful forms of work, extreme exploitation, working hours, ILO, exploitation

fsgof

Fuzzy Set Goodness of Fit

helpintrobayesiansocialscientists

Bayesian statistics for social scientists, a four-part Introduction with Exercises

indianchildcarecombiningtimeandnorms

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.

normslabourindia

Predicting Child Labour Risks by Norms in India, by Jihye Kim, Wendy Olsen, and Arkadiusz Wiśniowski in the journal Work, Employment and Society 2022

spatialregressionbayesindia2022

A 2022 Tutorial for Statistics Users about Indian Youths Working, Focused on Spatial Regression Methods

systematicmixedmethods

Systematic Mixed Methods Research for Social Scientists Annex of Practical Techniques