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Table 2 Heckman ordered probit estimation on whey consumption quantity and expense

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
  1. Values in parentheses are t statistics
  2. *, **, and *** indicate 10%, 5%, and 1% significance level, respectively
  3. aThe athrho is Fisher’s Z transformation of the correlation, also known as the arc-hyperbolic tangent. To obtain estimates in the correlation metric, one can apply the inverse of this transformation, and test whether rho = 0