A Tutorial for Statistics Users about India Labour-Force Participation Rates, Focused on Methods for Social Researchers
* * * * * HOW TO GET THE FILES *
First click the green CODE button. Now choose the 'Download ZIP' button. You obtain all the documents in one zip file. You then 'extract' this using your unzip software, such as 7ZIP freeware or Win-ZIP. Queries/difficulties? Contact wendy.olsen@manchester.ac.uk to simply get an emailed copy.
* * * * SUMMARY OF THE CONTENTS OF THE 4 TUTORIAL FILES * * * * *
Title: Spatial Regression With Bayesian Estimation in STAN for Labour-Force Participation in India: an Introduction and Tutorial
We provided the webinar on 17 Oct. 2022 (Eventbrite https://www.eventbrite.co.uk/e/spatial-and-poisson-models-of-risk-of-events-a-methods-webinar-tickets-439488561117?utm-campaign=social&utm-content=attendeeshare&utm-medium=discovery&utm-term=listing&utm-source=cp&aff=escb)
The files include: -- Three sets of Powerpoint slides -- one Tutorial guide, providing some sketchy answers to the set tasks@ -- one background case-study (PDF) about spatial regression via Bayesian MCMC modelling methods, led by Dr. Diego Perez Ruiz@ -- Figures, code, dataset for ages 15-24 in India 2017/8 and 2018/9 -- Full code for cleaning the India data yourself to study any other aspect of Indian society using 'Periodic Labour-Force Survey' 2017/8 or 2018/9. Use all these for self-managed learning. @Some items will be added during Oct/Nov/Dec. 2022.
We are ready to take your questions via email.
In all, this set of materials might take up to three hours to read through at a rapid or superficial level. In the powerpoint slides, there are 2 options For a typical social scientist or social demographer, it could take 6 weeks at 10 hours a week to learn to use R for programming STAN to apply these methods. It may be easier if you use R's brms package or lme4 to do simpler models first. These might be multilevel models with a spatial level j.
BEGINNERS' NOTE: For those without any programming background...a separate tutorial in 2018 helped by providing two powerpoint slidesets - that repository is HelpBayesianStatisticsTutorial2018. - Wendy Olsen
Note: Try running STAN and follow the helpful messages to get a clear idea of which updates your own machine needs.
Use this citation for creative commons attribution: Wisniowski, Arkadiusz, Diego Perez Ruiz, Madhu Chauhan, and Wendy Olsen (2022), "Spatial Regression Using Bayesian Methods With Indian Data 2022", learning materials, URL www.github.com/WendyOlsen/SpatialRegressionBayesIndia2022, Creative Commons, University of Manchester, accessed 2022.
#Some of our background papers may help you: See also our \normslabourindia repository. It gives supplementary information for "Predicting Child Labour Risks by Norms in India", by Jihye Kim, Wendy Olsen, and Arkadiusz Wiśniowski, available as follows:
Kim J, Olsen W, Wiśniowski A. (2022) Predicting Child-Labour Risks by Norms in India. Work, Employment and Society. doi:10.1177/09500170221091886 (Free, open source)
and Kim, Jihye, Wendy Olsen, and Arkadiusz Wiśniowski (2022), Extremely Harmful Child Labour in India from a Time-Use Perspective, to Development in Practice. Revise & Resubmit, accepted with minor changes. (Please await full article link) and Kim, Jihye, Olsen, W.K. and Arkadiusz Wiśniowski (mimeo), “Girl Children’s Labour Participation, “Child Labour” and Decent Work: Results from India”, sent to Canadian Journal of Development Studies, 2021; please await the publication; and Anita Hammer, Wendy Olsen and Janroj Keles, “Working Lives in India: Past insights and future directions”, lead article for India e-special issue, Work, Employment and Society, accepted, DOI 10.1177/09500170221083511. 2022 and best of all, ** Kim, Jihye, Olsen, W.K. and Arkadiusz Wiśniowski (2020), A Bayesian Estimation of Child Labour in India, Child Indicators Research, DOI https://doi.org/10.1007/s12187-020-09740-w. Online 8 June. **
- Data Sources:
The Indian Periodic Labour Force Survey 2017/8 is used here. It is open access via this website: https://mospi.gov.in/web/mospi/download-tables-data/-/reports/view/templateOne/29001?q=TBDCAT (accessed July 2022). You will note some active hot links inside a key table in this site. These provide unlabelled tabular data. The dictionary is then used to code the labels onto the data.
Similarly for 2018/9.
- Acknowledgement of Funding
This research was supported by Research Support Funds 2021-22 at the School of Social Sciences at the University of Manchester.
Part of this research has been disrupted by the effects of the COVID-19 pandemic.
