Skip to main content
. Author manuscript; available in PMC: 2017 Nov 6.
Published in final edited form as: Soc Sci Hist. 2016 Winter;40(4):707–470. doi: 10.1017/ssh.2016.28

Table 5.

Comparison of Models Using Ecodivision with Varying Techniques

CROP FAILURE MODELS With ecodivision as categorical independent variable With ecodivision as regime With spatial error term and ecodivision as regime
DIAGNOSTICS R squared 0.8613 0.9976
Adj. R squared 0.8605 0.9976
AIC 2589.697 2480.67 2105.541
Shapiro test W value 0.7868 0.7772 0.7238
Breusch-Pagan p value 0.0006 0.1210 0.5830
Moran’s I (if significant) 0.2874 0.2309 insignificant
CLIMATE MODELS With ecodivision as categorical independent variable With ecodivision as regime With spatial error term and ecodivision as regime
DIAGNOSTICS R squared 0.8655 0.9978
Adj. R squared 0.8647 0.9977
AIC 2496.307 2265.556 2032.81
Shapiro test W value 0.7852 0.7661 0.7278
Breusch-Pagan p value <0.0001 0.0911 0.3594
Moran’s I (if significant) 0.2683 0.1785 insignificant