To measure income inequality with right censored (topcoded) data, we propose multiple imputation for censored observations using draws from Generalized Beta of the Second Kind distributions to provide partially synthetic datasets analyzed using complete data methods. Estimation and inference...

To measure income inequality with right censored (topcoded) data, we propose multiple imputation for censored observations using draws from Generalized Beta of the Second Kind distributions to provide partially synthetic datasets analyzed using complete data methods. Estimation and inference...

To measure income inequality with right censored (topcoded) data, we propose multiple imputation for censored observations using draws from Generalized Beta of the Second Kind distributions to provide partially synthetic datasets analyzed using complete data methods. Estimation and inference...

To measure income inequality with right censored (topcoded) data, we propose multiple imputation for censored observations using draws from Generalized Beta of the Second Kind distributions to provide partially synthetic datasets analyzed using complete data methods. Estimation and inference...

We apply the Kakwani approach to decomposing redistributive effect into average rate, progressivity, and reranking components using yearly UK data covering 1977-2018. We examine cash and in-kind benefits, and direct and indirect taxes. In addition, we highlight an empirical implementation issue...

We apply the Kakwani approach to decomposing redistributive effect into average rate, progressivity, and reranking components using yearly UK data covering 1977-2018. We examine cash and in-kind benefits, and direct and indirect taxes. In addition, we highlight an empirical implementation issue...