Bayesian Estimation of Inequality and Poverty Indices in Case of Pareto Distribution Using Different Priors under LINEX Loss Function

Table 3

Estimated loss functions for M using LINEX loss function.

		Uniform prior	Jeffrey’s prior	Conjugate prior
				= 0.5; = 2	= 2; = 2
20	2.5	0.073957	0.0657402	0.026145	0.056465
	3.5	0.061835	0.0558135	0.015994	0.046743
	4.5	0.056649	0.0418561	0.012289	0.035673
40	2.5	0.073204	0.0555914	0.025888	0.043674
	3.5	0.060616	0.0466542	0.016802	0.040301
	4.5	0.055089	0.0435518	0.013802	0.031533
60	2.5	0.072393	0.0458580	0.026035	0.039373
	3.5	0.059386	0.0376830	0.017845	0.036373
	4.5	0.053528	0.0352241	0.015377	0.025377
80	2.5	0.071778	0.0360502	0.026361	0.030012
	3.5	0.058222	0.0286558	0.018818	0.029733
	4.5	0.051894	0.0267040	0.016845	0.020345
100	2.5	0.071070	0.0263228	0.020575	0.027973
	3.5	0.057185	0.0196096	0.019812	0.028732
	4.5	0.030343	0.0183061	0.018161	0.019637