From: Evolving consumer trends for whey protein sports supplements: the Heckman ordered probit estimation
Model (1) | Model (2) | |||
---|---|---|---|---|
Quantity | Expense | |||
Outcome model | ||||
Age | − 0.495** | (− 2.66) | − 0.320* | (− 2.18) |
Female | − 0.975 | (− 1.61) | − 0.468 | (− 1.05) |
Income | 0.0150 | (0.13) | − 0.0220 | (− 0.15) |
Exercise frequency | − 0.0421 | (− 0.51) | − 0.0565 | (− 0.54) |
Selection model | ||||
Age | − 0.0134 | (− 0.14) | − 0.00832 | (− 0.09) |
Female | − 0.144 | (− 0.48) | − 0.114 | (− 0.39) |
Income | − 0.0344 | (− 0.40) | − 0.0576 | (− 0.60) |
Flexibility | 0.417 | (1.17) | 0.199 | (0.51) |
Power/strength | 1.085** | (2.95) | 1.111** | (3.16) |
Constant | − 0.397 | (− 0.92) | − 0.336 | (− 0.73) |
Athrhoa | 1.208 | (1.39) | 0.669 | (0.89) |
Log likelihood | − 92.62 | − 111.0 | ||
Observations | 105 | 105 |