Table 2.

Parameter estimates for Yule-Walker autoregression models.

	Model I	Model II
Dependent variable	lnEDtot	lnEDub
Intercept	2. 9169 (17.76)#	2.6328 (14.38)#
HABt−1	0.0012 (1.81)*	0.0019 (2.54)#
Tempt	−0.0120 (−2.60)#	−0.0107 (−2.05)**
Tempt−1	−0.0241 (−5.06)#	−0.0277 (−5.17)#
Flut	0.0096 (4.03)#	0.0103 (3.89)#
Pollent	0.0286 (1.66)*	0.0319 (1.64)*
Touristt	0.1003 (1.89)*	0.1161 (1.95)*
Observations (n)	261	261
DW	1.96	1.96
R2	0.76	0.74

DW, Durbin-Watson test statistic. t-Values are shown in parentheses.

^*p < 0.1.

^**p < 0.05.

^#p < 0.01.