I would like to know about the statistical models and tools used for analysis high frequency panel data on poverty. Kindly also help with the proper references of such works, along with workable tools.
High frequency panel data are useful to try and separate persistent from transitory poverty so to address the issue of poverty dynamics. High frequency data may better describe the sources of poverty and whether they tend to feed one another. This is crucial for poverty analysis and should be employed to devise appropriate policies.
Elisabetta is right. Chronic poverty is different from transient poverty. They may have different determinants and therefore they need different policies. An example is seasonal poverty that affect certain groups of smallholders, especially in Sub-Saharan Africa: the seasonal poverty (and hunger) is often linked to the agricultural productions cycle. The high frequency panel data on poverty may reveal such seasonal patterns, and other short term poverty cycles, that traditional poverty surveys cannot show.
students sometimes are taken as examples, too. As panel data are more expensive to collect, high frequency may refer to yearly frequency, rather than data collected every fifth year or more. It always depends upon the features of the phenomenon one is up to.