@article{Moepeng:123547,
      recid = {123547},
      author = {Moepeng, Pelotshweu T. and Tisdell, Clement A.},
      title = {Can Subjective Measures for Rapid Assessment of Rural  Poverty and Inequality be Useful in Botswana?},
      address = {2008-06},
      number = {1745-2016-141008},
      series = {Social Economic, Policy and Development},
      pages = {27},
      year = {2008},
      abstract = {Although middle income countries such as Botswana are  credited with reliable data that are used in poverty  measures, it is sometimes argued that the time lags between  data generations or surveys are too wide. The Household  Income and Expenditure Survey (HIES) in Botswana takes  place every 10 years.  The major constraints are capacity  and budget considerations. In this article, we propose two  subjective measures that have been successfully used  elsewhere for adaptation in Botswana. We use data from  Nshakazhogwe village case study to test whether these  alternative measures of poverty and deprivation are  correlated with objective measures of economic deprivation.  The Pearson Chi-square tests of independence are applied to  examine the independence and the results show that the  null-hypothesis that subjective and objective measures of  deprivation are independent should be rejected. These  results are statistically significant and imply the  relationship between the proposed subjective measures and  objective variables are systematic in rural Botswana. Even  though subjective measures seem to be fairly imprecise  indicators of poverty and social disadvantage, the fact  that they are statistically significant discriminators is  encouraging. If changes in the incidence of poverty using  the subjective measures are positively associated with  changes based on objective measures, the results could  indicate trends in poverty incidence and trigger timely  relevant policy responses to address emerging poverty  concerns. Finally, the problem of relying only on data  generated between long-time intervals from normal in depth  statistical surveys that are skill intensive and high cost  would be reduced.},
      url = {http://ageconsearch.umn.edu/record/123547},
      doi = {https://doi.org/10.22004/ag.econ.123547},
}