Table 5

	Bias	SSE	ASE	CP
	(nD, nD) = (100, 100)
a₀	2.4%	0.163	0.151	94.8%
a₁	2.2%	0.085	0.083	95.4%
R(0.2)	0.4%	0.039	0.039	94.6%
R(0.4)	0.3%	0.032	0.031	93.4%
R(0.7)	0.1%	0.025	0.023	90.8%
	(nD, nD) = (100, 50)
a₀	0.9%	0.159	0.157	95.0%
a₁	2.9%	0.088	0.088	94.6%
R(0.2)	-0.3%	0.041	0.042	94.6%
R(0.4)	-0.1%	0.033	0.033	94.6%
R(0.7)	-0.1%	0.025	0.024	93.8%
	(nD, nD) = (50, 100)
a₀	1.1%	0.205	0.208	96.4%
a₁	0.9%	0.101	0.113	97.2%
R(0.2)	-0.2%	0.053	0.053	93.8%
R(0.4)	-0.2%	0.041	0.043	94.4%
R(0.7)	-0.3%	0.030	0.033	94.6%

Table 5: Result of 1000 simulations to evaluate the application of inference based on asymptotic theory to finite sample studies. (α₀, α₁) = (1.2, 0.45). Relative bias = bias / true value x 100%; SSE: sampling standard error; ASE: mean estimated standard error using asymptotic theory; CP: coverage of 95% Wald-confidence intervals using estimated asymptotic error.