Measuring disaggregate level food insecurity via multivariate small area modelling: evidence from rural districts of Uttar Pradesh, India

Author:

Guha SauravORCID,Chandra Hukum

Publisher

Springer Science and Business Media LLC

Subject

Agronomy and Crop Science,Development,Food Science

Reference27 articles.

1. Anjoy, P., Chandra, H., & Basak, P. (2019). Estimation of disaggregate-level poverty incidence in Odisha under area-level hierarchical bayes small area model. Social Indicators Research, 144, 251–273.

2. Benavent, R., & Morales, D. (2016). Multivariate Fay–Herriot models for small area estimation. Computational Statistics and Data Analysis, 94, 372–390.

3. Brown, G., Chambers, R., Heady, P., & Heasman, D. (2001). Evaluation of small area estimation methods: An application to unemployment estimates from the UK LFS. Proceedings of Statistics Canada Symposium 2001. Achieving data quality in a statistical agency: A methodological perspective.

4. Census. (2011). Primary census abstracts, Registrar General of India, Ministry of Home Affairs, Government of India. http://www.censusindia.gov.in/2011census/population_enumeration.html

5. Chandra, H., Salvati, N., & Sud, U. C. (2011). Disaggregate-level estimates of indebtedness in the state of Uttar Pradesh in India-an application of small area estimation technique. Journal Applied Statistics, 38(11), 2413–2432.

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