Table 1.

Relative mean squared deviation error based on moments (ME_M) and reconstruction (ME_R) estimates, ratios of two ME’s {moments (r_{ME, MB}) and reconstruction (r_{ME, RB}) estimates over binning estimates} for the three simulation set-ups: case (a) general unsynchronized binary response, case (b) general unsynchronized count response and case (c) unsynchronized binary response with diagonal support analogous to the CDS data. Median and 25% and 75% percentiles of the deviation measures are presented based 200 Monte Carlo runs/data sets.

Case	n	σ2	MEM			MER			rME, MB			rME, RB
			Med	25%	75%	Med	25%	75%	Med	25%	75%	Med	25%	75%
(a)	100	2	.182	.134	.254	.167	.114	.234	.197	.112	.344	.179	.106	.322
(a)	100	4	.136	.097	.196	.101	.069	.146	.212	.137	.329	.153	.090	.252
(a)	100	6	.115	.086	.159	.081	.060	.110	.222	.147	.319	.148	.088	.224
(a)	200	2	.114	.080	.154	.084	.056	.119	.183	.124	.252	.138	.088	.196
(a)	200	4	.083	.062	.118	.053	.035	.070	.200	.153	.280	.118	.080	.183
(a)	200	6	.087	.064	.117	.042	.032	.059	.231	.162	.325	.109	.073	.158
(b)	100	2	.084	.048	.124	.061	.039	.089	.223	.134	.398	.162	.090	.276
(b)	100	4	.040	.027	.066	.028	.018	.040	.156	.107	.321	.112	.067	.183
(b)	100	6	.034	.022	.049	.021	.013	.031	.178	.105	.290	.116	.065	.174
(b)	200	2	.040	.024	.065	.026	.016	.042	.158	.095	.256	.093	.059	.172
(b)	200	4	.024	.017	.038	.015	.009	.022	.135	.096	.217	.080	.049	.137
(b)	200	6	.019	.013	.026	.010	.007	.014	.134	.095	.194	.068	.045	.109
(c)	200	2	.217	.133	.315	.184	.121	.282	.679	.417	1.073	.589	.340	.886
(c)	200	4	.160	.119	.226	.128	.087	.198	.693	.395	1.214	.539	.345	.888
(c)	200	6	.158	.114	.218	.108	.072	.165	.657	.438	1.216	.487	.306	.797
(c)	400	2	.134	.087	.180	.101	.074	.142	.681	.450	1.051	.543	.380	.863
(c)	400	4	.102	.072	.134	.076	.055	.097	.804	.564	1.070	.636	.418	.896
(c)	400	6	.101	.070	.129	.059	.044	.088	.913	.648	1.265	.565	.378	.826