Derivation
See Appendix 2 of the suurvey report.
Disaggregated maps of poverty in Papua New Guinea are created by combining information from the 1996 National Household Survey (NHS) with data from the 2000 National Census, and from resource and agricultural mapping databases with national coverage.
The basic approach involves estimating a model of consumption (per adult equivalent) based on the 1996 NHS and then using the 2000 Census data to predict poverty measures at higher level of spatial disaggregation - up to the LLG-level. For constructing these maps, we have followed the methodology of Elbers et al. (2002), which pays more attention to heteroscedasticity, spatial autocorrelation and other location effects, and which uses simulation methods to calculate the predicted poverty indices and standard errors.
The basic consumption model used for the poverty mapping exercise is reported in Appendix 2 of the survey report.
For some of the analysis, we classify poverty levels into four categories, using the following bounds on the estimated headcount indices:
- Well-off (0 to 0.15 inclusive);
- Not poor (0.15 to 0.25 inclusive);
- Poor (0.25 to 0.4 inclusive);
- Very poor (index greater than 0.4).
