Table 3. Model Results*
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Parameter t Model 1 Model 2 Model 3
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RHO(t) 3 -0.098 -0.058 -0.071
autoregressive parameter (.014) (.029) (.033)
4 0.069 0.108 0.103
(.010) (.019) (.018)
5 -0.015 0.044 0.034
(.023) (.050) (.043)
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BETA(t) 3 0.053 0.089 0.087
learning coefficient (.004) (.016) (.017)
4 0.026 0.020 0.017
(.004) (.007) (.006)
5 0.011 0.022 0.025
(.006) (.009) (.008)
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GAMA(t) 3 -1.604 -1.460 -1.467
price elasticity (.021) (.066) (.070)
4 -1.765 -1.807 -1.609
(.063) (.104) (.113)
5 -1.219 -0.813 -0.844
(.027) (.070) (.061)
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SIQMA(t) 3 0.740 0.957 1.033
supply coefficient (.025) (.043) (.097)
4 0.443 0.463 0.357
(.036) (.056) (.061)
5 0.647 0.786 0.615
(.029) (.054) (.063)
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LAMDA(t) 3 0.316
selection bias (.097)
(mills ratio 4 -0.459
coefficient) (.132)
5 -0.421
(.104)
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2
R 3 0.880 0.810 0.795
4 0.691 0.676 0.678
5 0.817 0.722 0.763
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Std. error of 3 0.643 0.790 0.829
regression
4 0.392 0.400 0.375
5 0.428 0.515 0.4443
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Std. dev. of depend. 3 1.767 1.780 1.780
variable
4 0.668 0.654 0.654
5 0.903 0.903 0.903
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