Table 5. 
Ordinary Least Squares Regression with Gender as a Dependent Variable
Log(exp)1995–19962003–20042010–2011
Female −0.105*** −0.098*** −0.202*** 
Income 0.011 0.021*** 0.003*** 
Poor −0.609*** −0.708*** −0.601*** 
Birthorder 0.024 −0.017 −0.054*** 
HHsize −0.027*** −0.004 −0.021*** 
Fatheredu 0.037* 0.026*** 0.029*** 
Motheredu 0.121 0.048*** 0.034*** 
Ethni 0.096** 0.123*** 0.054* 
Currentclass 0.221*** 0.203*** 0.158*** 
Schooltype 0.502*** 1.067*** 0.882*** 
Distschool 0.006 0.073*** −0.0005*** 
Rural −1.153*** −0.698*** −0.483*** 
Log(exp)1995–19962003–20042010–2011
Female −0.105*** −0.098*** −0.202*** 
Income 0.011 0.021*** 0.003*** 
Poor −0.609*** −0.708*** −0.601*** 
Birthorder 0.024 −0.017 −0.054*** 
HHsize −0.027*** −0.004 −0.021*** 
Fatheredu 0.037* 0.026*** 0.029*** 
Motheredu 0.121 0.048*** 0.034*** 
Ethni 0.096** 0.123*** 0.054* 
Currentclass 0.221*** 0.203*** 0.158*** 
Schooltype 0.502*** 1.067*** 0.882*** 
Distschool 0.006 0.073*** −0.0005*** 
Rural −1.153*** −0.698*** −0.483*** 

Note: ***, **, and * denote significance at the 1%, 5%, and 10% level, respectively. See Table 4 for a description of the variables.

Source: Author's calculations based on NLSS Surveys.

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