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. Author manuscript; available in PMC: 2014 Aug 21.
Published in final edited form as: Am Econ Rev. 2012 Dec;102(7):3531–3560. doi: 10.1257/aer.102.7.3531

Table 2. 2SLS Estimates of the (Cobb-Douglas) Body-Mass Production Function, by Survey Population.

Dependent variable: log weight/height

Input/Survey population 1981-2b 2001-2
Log individual total calorie consumptiona .136 (3.37) .241 (3.76)
Very active occupationa −.0119 (0.23) −.0445 (3.20)
Exceptionally active occupationa −.0817 (1.26) −.125 (5.65)
Pregnanta .326 (1.34) .0273 (1.33)
Lactatinga .513 (4.65) .0339 (1.39)
Log age .0987 (1.90) .00804 (9.02)
Log age squared .0174 (2.37) −.000092 (8.86)
Male −.0578 (1.81) −.00947 (2.89)
Male*log age .0687 (4.04) .00116 (3.72)
Water drawn from tube well −.0406 (2.10) .00551 (0.88)
Water drawn from well −.0693 (3.15) .00118 (0.18)
Water drawn from pond −.0649 (2.55) .0216 (2.36)
N 1,737 5,750
Hg: calories, age, age squared, male, exceptionally active, very active, male*age = across populations; χ2(7) (p) 9.06 (.17)

Sources: NSRB 1981-2 and 2001-2.

a

Endogenous variable: instruments include household head's age and schooling level, land holdings, and price of all foods consumed interacted with individual age and sex variables, land and head's schooling and age.

b

Reproduced from Pitt et al. (1990). Asymptotic t-ratios in parentheses.