Table 2:

Parameter estimates with a second-stage model for rebound rate β _3i .

Parameter	Estimate	Naive SE	Bootstrap SE	z-Value	p-Value
P 1	11.258	0.283	0.204	55.176	0.000
λ 1	4.790	0.380	0.236	20.321	0.000
P 2	3.271	0.117	0.167	19.575	0.000
λ 2	0.225	0.027	0.019	11.627	0.000
α 1	0.087	0.007	0.011	7.765	0.000
α 2	24.080	0.517	0.518	46.456	0.000
β 1	2.946	0.375	0.127	23.196	0.000
β 2	1.542	1.040	0.419	3.680	0.000
β 3	3.280	–	0.448	7.327	0.000
γ 31	0.837	0.053	0.211	3.971	0.000
γ 32	−4.589	0.177	2.691	−1.705	0.088
γ 33	−1.110	0.008	0.317	−3.501	0.000
γ 34	−221.564	12.712	116.409	−1.903	0.057
γ 35	−0.106	0.023	0.109	−0.969	0.333
γ 36	−0.090	0.445	8.458	−0.011	0.991
β 4	0.772	0.448	0.057	13.625	0.000

Naive SE is the standard error based on separate model fitting without bootstrap, z-Value is the ratio of estimate/bootstrap SE, and p-Value is based on the z-Value and the standard normal tail probability for a two-sided test. A naive SE is unavailable, possibly due to parameters being unidentifiable.