| Abstract: | By employing cross-sectional data obtained from Survey of Income and Living Conditions for the years from 2007 to 2011, we analyze the identification problem of the poor by using both monetary and non-monetary measures. We classify the poor into the following categories: (i) poor in monetary and nonmonetary measures, (ii) poor in monetary measure only, (iii) poor in non-monetary measure only, and (iv) non-poor in both categories. We examine the determinants of each category by utilizing the probit model and find that the share of workers in adults — or the share of informal or agricultural workers — creates some disparities between poverty at a country and regional level. |
