1. Factors Influencing the Probability of Being Left Behind: A Multidimensional Poverty Approach for Botswana
- Author:
- Khaufelo R. Lekobane
- Publication Date:
- 07-2024
- Content Type:
- Working Paper
- Institution:
- Botswana Institute for Development Policy Analysis
- Abstract:
- The Leave No One Behind principle is an important dimension of the 2030 Agenda for Sustainable Development. It recognises data disaggregation as a vital tool to identify the multidimensionally poor (those left behind). Using the 2015/16 Botswana Multi-Topic Household Survey, we investigate factors influencing the probability of being left behind. We define those left behind as the multidimensionally poor. We employed the multidimensional poverty measure to identify those left behind. Our study uses several econometric estimation techniques, such as Tobit, quantile regression and OLS regression models, in addition to the binary logit model commonly used in the empirical literature. The results reveal that an individual’s age, disability status, citizenship, sex of household head, marital status, education, employment status of household head, household wealth status and place of residence are significant factors influencing the probability of being left behind (multidimensionally poor). Policymakers should design context-specific, action-oriented and nationally appropriate policies and programmes that consider factors influencing the probability of being left behind and promote sustainable and inclusive development.
- Topic:
- Poverty, Sustainable Development Goals, and Regression Analysis
- Political Geography:
- Africa and Botswana