Intergenerational mobility in poverty state of the chronically poor in rural Bangladesh: a markov chain model approach

Based on a household survey in Bangladesh, the chronically poor group was identified. Intergenerational mobility among three poverty states is elucidated utilizing the Markov Chain Model. Transition probability matrices for three generations reached stationary state only after 28th generation. Markov dependence was tested significant. The expected stay and mobility measures have been estimated. They show that the best state has the shortest staying period, implying that households who are in the most favorable state within the chronically poor in Bangladesh were most mobile and fell in deteriorating situation within a short period of time by being unable to stay in the same state.

poverty state

intergenerational mobility

chronically poor

markov-chain model

rural area

Bangladesh