Table 2.

Parameter estimates for segmented regression models for changes in motorcycle ownership.

Region	Dhaka				Rest of Bangladesh
Data	Survival corrected		Uncorrected		Survival corrected		Uncorrected
Model no.	D1	D2	D3	D4	B1	B2	B3	B4
GDP per capita (Y)	0.0287	0.0338	0.0339	0.0342	0.0092	0.0142	0.0108	0.0149
	(11.83)***	(6.94)***	(14.43)***	(7.33)***	(10.53)***	(8.37)***	(12.38)***	(8.25)***
Policy (P15)	0.2631	0.1391	0.1993	0.1902	1.0789	0.9563	1.0420	0.9443
	(1.94)*	(0.73)	(1.50)	(1.05)	(5.42)***	(4.98)***	(5.40)***	(4.95)***
E-hail (EH)	1.1920	1.1141	1.1652	1.1595	0.0511	−0.0258	0.0411	−0.0202
	(3.48)***	(3.30)***	(3.55)***	(3.41)***	(0.25)	(-0.14)	(0.21)	(-0.11)
Constant	–	−0.1589	–	−0.0116	–	−0.1569	–	−0.1251
		(-1.60)		(-0.12)		(-4.20)***		(-3.20)***
R2	0.967	0.928	0.975	0.936	0.973	0.969	0.977	0.968
Adj. R2	0.961	0.917	0.972	0.926	0.969	0.964	0.974	0.963
AIC	8.567	9.061	5.910	7.902	−27.364	–32.761	−28.900	−31.654
BIC	12.106	13.773	9.445	12.614	–23.830	−28.048	−25.365	−26.942
Breusch-Godfrey test for residual auto-correlation	2.17 (p = 0.141)	1.82 (p = 0.177)	1.25 (p = 0.264)	1.26 (p = 0.261)	1.644 (p = 0.200)	0.871 (p = 0.351)	1.647 (p = 0.199)	1.422 (p = 0.233)
Portmanteau test for white-noise of residuals	14.209 (p = 0.164)	20.592 (p = 0.024)	19.141 (p = 0.039)	19.431 (p = 0.035)	5.730 (p = 0.837)	14.451 (p = 0.153)	6.473 (p = 0.774)	14.558 (p = 0.149)
Bartletts test for white-noise of residuals	0.923 (p = 0.362)	0.935 (p = 0.347)	0.829 (p = 0.498)	0.835 (p = 0.489)	0.935 (0.347)	0.816 (p = 0.518)	0.975 (p = 0.297)	0.927 (p = 0.357)
LR test	1.51 (p = 0.220)		0.01 (p = 0.926)		7.40 (p = 0.007)		4.75 (p = 0.029)
Estimation period	1995–2018

***Statistically significant at 99%.

**Statistically significant at 95%.

*Statistically significant at 90%.