Table IV. Impact of climate variables on...

Table IV.

Impact of climate variables on economic growth in Bangladesh

	Results of regression analysis
Explanatory variables	Coefficients	Standard error	t-value	p-value
Y = dependent variable
AG	0.24*	0.02	10.48	0.00
IND	0.14*	0.03	4.13	0.00
SERV	0.37*	0.12	3.14	0.00
SAV	−0.85	0.73	−1.16	0.26
UR	2.13*	0.61	3.48	0.00
IA	−0.51**	0.21	−2.36	0.02
EXP	0.02*	0.006	3.16	0.00
MaxT	−0.008	0.24	−0.03	0.97
MinT	−0.44**	0.19	−2.28	0.03
Rain	0.00003	0.0002	0.15	0.89
Constant	−16.47	9.20	−1.79	0.09
R²	0.97
F	99.18
Model summary
Mean VIF	10.37
Durbin–Watson d-statistic	1.44
Breusch–Pagan/Cook–Weisberg test for heteroskedasticity	χ²(1) = 0.46
Breusch–Pagan/Cook–Weisberg test for heteroskedasticity	Prob > χ² = 0.4964

	Results of regression analysis
Explanatory variables	Coefficients	Standard error	t-value	p-value
Y = dependent variable
AG	0.24*	0.02	10.48	0.00
IND	0.14*	0.03	4.13	0.00
SERV	0.37*	0.12	3.14	0.00
SAV	−0.85	0.73	−1.16	0.26
UR	2.13*	0.61	3.48	0.00
IA	−0.51**	0.21	−2.36	0.02
EXP	0.02*	0.006	3.16	0.00
MaxT	−0.008	0.24	−0.03	0.97
MinT	−0.44**	0.19	−2.28	0.03
Rain	0.00003	0.0002	0.15	0.89
Constant	−16.47	9.20	−1.79	0.09
R²	0.97
F	99.18
Model summary
Mean VIF	10.37
Durbin–Watson d-statistic	1.44
Breusch–Pagan/Cook–Weisberg test for heteroskedasticity	χ²(1) = 0.46
Breusch–Pagan/Cook–Weisberg test for heteroskedasticity	Prob > χ² = 0.4964

Notes:

= Significant at 1% level

= significant at 5% level;

Source: Author’s compilation based on data collected from WB (2014) and BARC (2015)

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