structural models used in macroeconomics. The routine involves the estimation of dynamic moments over subgroups of the cross …-sectional dimension of agents. Micro moments differ from each other in the informative content that they carry for point estimation of the … relevant information for the correct estimation of the subjective discount rate. However, data from the cross section are not …

We consider the estimation of measures of persistent poverty in panel surveys with missing data, focusing on the …

the case of panel data, an estimation of the incidence of measurement error on the total variance can be obtained by …

techniques, in particular kernel density estimation, in estimating poverty from grouped data. Using Monte Carlo simulations, we … show that kernel density estimation gives rise to nontrivial biases in estimated poverty levels that depend on the … estimates to changes in the bandwidth and show that they vary widely with it. A comparison of kernel density estimation with …

Kernel density estimation (KDE) has been prominently used to measure poverty from grouped data (Sala-i-Martin, 2006 … density estimation in poverty analysis …

-entropy ; density estimation ; inequality measures ; grouped data … measures, based on the estimation of distribution with the maximum-entropy method. With given data, the entropy of the … estimation, even with little number of groups and with an acceptable numerical effort. -- Maximum-entropy ; density estimation …