Table 1:

Parameter estimates with a second-stage model for setpoint β _1i .

Parameter	Estimate	Naive SE	Bootstrap SE	z-Value	p-Value
P 1	11.258	0.283	0.167	67.449	0.000
λ 1	4.790	0.380	0.362	13.244	0.000
P 2	3.271	0.117	0.206	15.872	0.000
λ 2	0.225	0.027	0.019	11.788	0.000
α 1	0.087	0.007	0.017	5.178	0.000
α 2	24.080	0.517	0.438	54.985	0.000
β 1	2.828	0.161	0.243	11.651	0.000
γ 11	0.144	0.073	0.075	1.911	0.056
γ 12	−0.027	0.559	0.755	−0.035	0.972
γ 13	−0.252	0.079	0.116	−2.177	0.029
γ 14	−97.574	50.944	26.294	−3.711	0.000
γ 15	−0.026	0.033	0.035	−0.728	0.467
γ 16	0.811	1.290	4.291	0.189	0.850
β 2	1.588	1.308	0.694	2.289	0.022
β 3	3.360	1.614	0.828	4.056	0.000
β 4	0.783	0.119	0.151	5.195	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.