To use the generalized beta distribution of the second kind (GB2) for the analysis of income and other positively skewed distributions, knowledge of estimation methods and the ability to compute quantities of interest from the estimated parameters are required. We review estimation methodology that has appeared in the literature, and summarize expressions for inequality, poverty, and pro-poor growth that can be used to compute these measures from GB2 parameter estimates. An application to data from China and Indonesia is provided.</p
There are two main types of data sources of income distributions in China: household survey data and...
In this paper, a new class of weighted generalized beta distribution of the second kind (WGB2) is pr...
A model for measurement error is developed, based on the assumption that measurement error is random...
To use the generalized beta distribution of the second kind (GB2) for the analysis of income and oth...
To use the generalized beta distribution of the second kind (GB2) for the analysis of income and oth...
This paper applies the class of weighted generalized beta distribution of the second kind (WGB2) as ...
This paper applies the class of weighted generalized beta distribution of the second kind (WGB2) as ...
The Generalized Beta of the Second Kind (GB2) income distribution provides an excellent description ...
A major problem encountered in studies of income inequality at regional and global levels is estimat...
Using a method-of-moments estimator, flexible three-parameter beta distributions are fitted to aggre...
Data for measuring poverty are frequently available in a summary form that describes the proportion ...
In sample surveys of households and persons, questions about income are often sensitive and thus sub...
The Generalized Beta of the Second Kind (GB2) income distribution provides an excellent description ...
Income distributions for developing countries in Asia are modeled using beta-2 distributions, which ...
There are two main types of data sources of income distributions in China: household survey data and...
There are two main types of data sources of income distributions in China: household survey data and...
In this paper, a new class of weighted generalized beta distribution of the second kind (WGB2) is pr...
A model for measurement error is developed, based on the assumption that measurement error is random...
To use the generalized beta distribution of the second kind (GB2) for the analysis of income and oth...
To use the generalized beta distribution of the second kind (GB2) for the analysis of income and oth...
This paper applies the class of weighted generalized beta distribution of the second kind (WGB2) as ...
This paper applies the class of weighted generalized beta distribution of the second kind (WGB2) as ...
The Generalized Beta of the Second Kind (GB2) income distribution provides an excellent description ...
A major problem encountered in studies of income inequality at regional and global levels is estimat...
Using a method-of-moments estimator, flexible three-parameter beta distributions are fitted to aggre...
Data for measuring poverty are frequently available in a summary form that describes the proportion ...
In sample surveys of households and persons, questions about income are often sensitive and thus sub...
The Generalized Beta of the Second Kind (GB2) income distribution provides an excellent description ...
Income distributions for developing countries in Asia are modeled using beta-2 distributions, which ...
There are two main types of data sources of income distributions in China: household survey data and...
There are two main types of data sources of income distributions in China: household survey data and...
In this paper, a new class of weighted generalized beta distribution of the second kind (WGB2) is pr...
A model for measurement error is developed, based on the assumption that measurement error is random...