3 citations · 5 across the 6 of their papers we have counts for
4 papers · 1 filter
Multidimensional Poverty Mapping for Small Areas
Soumojit Das, Dilshanie Deepawansa, Partha Lahiri
Many countries measure poverty based only on income or consumption. However, there is a growing awareness of measuring poverty through multiple dimensions that captures a more reas…
Empirical best prediction of poverty indicators via nested error regression with high dimensional parameters
Yuting Chen, Partha Lahiri, Nicola Salvati
The Nested Error Regression Model with High-Dimensional Parameters (NERHDP) is extended to address challenges in small area poverty estimation. A robust and flexible framework is p…
Effects of model misspecification on small area estimators
Yuting Chen, Partha Lahiri, Nicola Salvati
Nested error regression models are commonly used to incorporate observational unit specific auxiliary variables to improve small area estimates. When the mean structure of this mod…
Discussion of "Estimating Random Effects via Adjustment for Density Maximization" by C. Morris and R. Tang
P. Lahiri, Santanu Pramanik
Discussion of "Estimating Random Effects via Adjustment for Density Maximization" by C. Morris and R. Tang [arXiv:1108.3234]