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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