A researcher, by using a sample of 3,294 USA individuals observed in 1987 wants to estimate how wage is affected by gender and education. To this end, he estimates with OLS the following model (standard errors in round brackets below the corresponding coefficient): R2 = 0.0330 = 4.829 + 1.142 male; + 0.041 exper; (0.197) (0.114) (0.024) where the hourly wage (in 1980 US dollars), w, is regressed on a gender dummy, male, which takes value of 1 if the worker is male and 0 if female, and the variable exper, the working experience (in years). Using the results in the above equation, the adjusted R2 will be: O (a) R2 = 0.0300 O (b) Ř? = 0.0324 O (c) R2 =0.0330 O (d) Ř? = 0.0310

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A researcher, by using a sample of 3,294 USA individuals observed in 1987 wants to estimate how wage is affected by gender and education. To this
end, he estimates with OLS the following model (standard errors in round brackets below the corresponding coefficient):
nda 14
tа поп
a data
R?
0.0330
= 4.829 + 1.142 male; + 0.041 exper;
(0.197)
%3D
ggio max.:
(0.114)
(0.024)
where the hourly wage (in 1980 US dollars), w, is regressed on a gender dummy, male, which takes value of 1 if the worker is male and 0 if female,
and the variable exper, the working experience (in years).
ontrassegna
anda
Using the results in the above equation, the adjusted R2 will be:
O (a) R? = 0.0300
O (b) Ř² = 0.0324
O (c) Ř? = 0.0330
O (d) R? = 0.0310
Transcribed Image Text:A researcher, by using a sample of 3,294 USA individuals observed in 1987 wants to estimate how wage is affected by gender and education. To this end, he estimates with OLS the following model (standard errors in round brackets below the corresponding coefficient): nda 14 tа поп a data R? 0.0330 = 4.829 + 1.142 male; + 0.041 exper; (0.197) %3D ggio max.: (0.114) (0.024) where the hourly wage (in 1980 US dollars), w, is regressed on a gender dummy, male, which takes value of 1 if the worker is male and 0 if female, and the variable exper, the working experience (in years). ontrassegna anda Using the results in the above equation, the adjusted R2 will be: O (a) R? = 0.0300 O (b) Ř² = 0.0324 O (c) Ř? = 0.0330 O (d) R? = 0.0310
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