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. 2020 Mar;92:104437. doi: 10.1016/j.landusepol.2019.104437

Table 4.

Sensitivity analysis to alternative treatment-effects estimation methods.

Method ATT estimates
CV (%)
IPW RA IPWRA PSM (2NN)
Dairy gross margin per cow
(€ / cow)
64.61**
(32.26)
64.93*
(33.20)
63.74**
(31.74)
54.22*
(32.43)
8.29
Milk yield per cow
(l / cow)
513.23***
(121.14)
493.71***
(115.47)
507.72***
(112.72)
405.57***
(121.67)
10.48
Agricultural GHG emissions per kg of output
(kg of CO2e / kg of FPCM)
−0.020
(0.022)
−0.024
(0.023)
−0.028
(0.021)
−0.029
(0.031)
16.29
BTSCC
(‘000 cells / ml)
−32.61**
(9.44)
−27.77***
(8.52)
−32.99**
(8.89)
−38.86***
(11.02)
13.73

Notes: ATTs and standard errors in parentheses. Coefficients of Variation (CV) calculated as a ratio of the standard deviation to the mean for the results of each indicator. IPW = Inverse-Probability Weighting; RA = Regression Adjustment; IPWRA = Inverse-Probability-Weighted Regression Adjustment; PSM = Propensity Score Matching; NN = Nearest-Neighbour. ***, **, and * significant at the 1%, 5%, and 10% level, respectively.