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Example 1:

using different data sources, the authors test the hypothesis that the number of children in the family affects the hours worked by the male head of household.
The dependent variable is average weekly hours worked in principal job including overtime.
The independent variables are given in Table 1

Table 1:
Independent Variables

Variable	Description
AGE	Age in years
EDUCLOW	Nine or fewer years of schooling
EDUCMED	Less than university degree but more than nine years of schooling
NETWAGE	Marginal after-tax wage
WEALTH	Household wealth in 1983/100,000
CHILD1	Number of children aged 0-3
CHILD2	Number of children aged 4-7
CHILD3	Number of children aged 8-12
CHILD4	Number of children aged 13-18
HHMEM	Number of household members
HOMEOWN	Home ownership (1 = owns house or apartment) zero else.
MARITAL	1 = married or cohabiting;2 = single

The parameter estimates along with the usual t ratios are given in Table 2.
The critical t score at the 5% significance level is 1.96.

Table 2:
Tobit Model Estimates

Variable Name	Description	t ratio
INTERCEPT	39.3721	6.8429
AGE	0.4093	1.6195
AGE2	-0.5763	-1.9841
EDUCLOW	0.4627	0.5867
EDUCMED	-0.1720	-0.2098
NETWAGE	-0.2359	-4.7952
WEALTH	0.2156	1.8027
CHILD1	-0.4228	-0.4660
CHILD2	-0.7802	-1.0085
CHILD3	0.5743	0.7817
CHILD4	0.1676	0.2217
HHMEM	0.2218	0.4119
HOMEOWN	0.7091	0.9804
MARITAL	-0.6676	-0.5907

a.
Explain why the authors estimated this as a Tobit model.
b.
Comment on the results relative to the hypothesis tested.
c. Explain in detail other statistics and estimates you would like to see reported.”

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关键词：example ExamP AMPL Exam PLE university hypothesis different including principal

WHO CAN SLOVE IT ?
Example 1:
“The material for this question is taken from the article:
Carlin, P. S. and L. Flood, (1997), Do children affect the labour supply of Swedish men?  Time diary versus survey data.  Labour Economics, 4, 167-183.

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